International Conference of Management and Industrial Engineering

A systematic literature review of 6G applications and use cases

2025-11-03T08:06:53+02:00

High demand in better quality of services, increased capacity, a better coverage, service efficiently, security and privacy prevention techniques is driving a rapid evolution, at every 10 years of the next generation of mobile communication. This paper provides a picture of the main aspects of the sixth generation of mobile communication with a focus on the development from the actual generation, the expected use cases from different industries and domains that will improve the user experience but also will increase the risks in different applications available to the customers upon the deployment of 6G. Based on the methodology research, there were indentified and presented and summarize the key aspects of top 14 applications or use cases that are expected to be available or to be improved with the support of 6G and Artificial Intelligence, that has been mentioned in multiple papers.

Mirroring Reality: The Rise of Digital Twins in Vehicle Development

2025-09-16T22:19:23+03:00

Facing complex vehicle systems and the need for efficient development, the automotive industry increasingly adopts digital twin technology – virtual replicas of physical vehicles – as a solution. This paper explores this adoption, investigating how digital twins improve design, accelerate testing and validation, and contribute to overall vehicle development. It aims to demonstrate the value of digital twins in reducing costs, improving quality, and accelerating innovation. The paper highlights challenges, future directions in vehicle engineering, practical applications for automotive engineers, and impacts on traditional methodologies. Synthesizing trends and best practices, it provides an overview of digital twins' impact across the entire vehicle development lifecycle, highlighting their potential to transform processes and unlock innovation for automotive engineering, research, and technology development communities.

Enhancing Organizational Communication in the Service Industry through Digital Technologies: A Bibliometric Analysis

2025-09-28T21:35:14+03:00

In the rapidly evolving digital business environment, organisational communication (OC) plays a central role in the service industry, where customer interactions and information exchange define operational success. Advances in digital technologies—such as cloud collaboration platforms, artificial intelligence, blockchain, and the Internet of Things—have transformed communication processes, offering opportunities for greater efficiency, responsiveness, and adaptability. Despite growing academic interest, research on OC and digital technologies remains fragmented, lacking a comprehensive analytical synthesis. This study addresses this gap through a bibliometric analysis of scholarly publications on OC from 2020 to 2024. Using the Dimensions database, a dataset of 11,260 peer-reviewed journal articles was analysed with CiteSpace and VOSviewer to map intellectual, social, and conceptual structures in the field. The research examined the most cited journals, the most co-cited authors, and the most frequent keywords, applying performance indicators such as h-index, SJR, and quartile rankings. Results reveal a concentrated network of influence dominated by journals such as Sustainability, and leading scholars including Philip M. Podsakoff, Arnold B. Bakker, and Linjuan Rita Men. Thematic clusters highlight enduring topics in organisational behaviour, strategic communication, and management theory, as well as emerging themes such as digital transformation, blockchain integration, and skill development. The prominence of terms like “organisation,” “performance,” and “pandemic” reflects the field’s responsiveness to global crises and technological change. The study contributes to the literature by providing a structured mapping of OC research in the service industry, revealing interdisciplinary linkages and priority areas for future investigation. These findings offer practical insights for academics, practitioners, and policymakers seeking to leverage digital technologies for enhanced communication, innovation, and adaptability in service-sector organisations.

Theoretical insights into the influence of enterprise architecture on job architecture

2025-09-16T21:57:30+03:00

Although Enterprise Architecture and Job Architecture represent strategic instruments for organizational transformation, on many occasions existing research has treated them as separate and/or unrelated disciplines. This paper seeks to address this conceptual divide by investigating their interrelationship through a systematic literature review and proposing a preliminary framework for EA-JA integration. The primary research inquiries revolve around identifying points of friction and opportunities for co-design between IT and HR functions, as well as exploring whether formal alignment between EA and JA enhances long-term organizational competitiveness. Based on a systematic literature review, the findings reveal a series of situations indicative of misalignments and coordination gaps of current integration efforts, despite their parallel evolution into strategic disciplines. In response, the author advocates for a transdisciplinary approach meant to leverage the transformative potential of aligning Enterprise Architecture and Job Architecture in support of sustainable organizational strategies.

Automotive industry technology development implications on consumer purchasing behaviour

2025-09-28T21:15:17+03:00

The automotive industry, characterised throughout history by its reliance on technological innovation, is currently undergoing a major transformation driven by relentless technological advancements. These technological changes are fundamentally reshaping the industry, changing the process of design, construction, operation, and user experience. This paper analyses and highlights the impacts and important applications of technology in the automotive industry from its inception until the present. Because manufacturers are always on the path of evolution, they must ensure that they keep up to date with the latest technology in order to maintain their position in this constantly changing industry.

The Social Media as a Strategic Tool for Organizational Communication in the Service Industry: a Quantitative Approach

2025-09-28T21:32:09+03:00

This paper examines the integration of social networks into organisational communication within the service industry, emphasising their dual role as drivers of engagement and sources of potential risk. Existing literature identifies platforms such as Facebook, Instagram, LinkedIn, TikTok, and Telegram as strategic tools for branding, client interaction, knowledge management, and cross-team collaboration, with growing influence from trends such as AI-driven personalisation, short-form video, social commerce, and influencer marketing. However, studies also highlight risks including misinformation, reduced productivity, and algorithmic amplification of sensational content. Building on these insights, the present research investigates patterns of professional social media use, perceived benefits and limitations, and strategies for mitigating negative impacts, with a focus on the phenomenon of fake news. The study employed a quantitative, cross-sectional design, using a structured online questionnaire distributed to 250 employees across multiple service sectors. Data analysis, conducted in SPSS v.26, included descriptive statistics and correlation tests. The research questions addressed platform preferences, frequency of use, perceived impact on organisational communication, and the effectiveness of proposed solutions. Results reveal high daily engagement with multiple platforms, particularly combinations including LinkedIn, Facebook, and Instagram. Respondents reported strong perceived benefits in transparency, speed, and external interaction, alongside concerns about digital skills gaps and misinformation. Proposed solutions included formal guidelines, targeted training, content verification measures, and integrated communication strategies. The findings reinforce the importance of aligning platform selection with organisational objectives and stakeholder profiles. The paper contributes to the literature by offering a data-driven analysis of professional social media use in the service industry, integrating platform-specific insights with practical recommendations for risk management and strategic communication. The results have implications for policy design, training frameworks, and the deployment of technological tools to optimise organisational performance in an evolving digital environment.

Benefits and Management of AI Agents in IT Organizations: A Critical Perspective

2025-09-24T14:03:03+03:00

Artificial Intelligence (AI) agents are transforming modern organizations through automation, decision support and operational efficiency. Resources such as chatbots, monitoring systems and autonomous decision-making tools are increasingly embedded to manage repetitive tasks, streamline workflows and improve deliverables. This paper presents how AI agents augment human capabilities while supporting strategic goals. Benefits suchs as automation boosts productivity, reduces costs and enables faster or data-driven decisions are significant. AI also enhances user experience for both staff and customers with timely support, proactive problem detection and seamless management. Proven examples illustrate practical outcomes. Managing AI agents requires ensuring reliability, ethics and alignment with goals. Governance frameworks, monitoring, updates and risk mitigation are decisive. Human oversight remains a key point, as AI complements rather than replaces expertise. A dedicated section stresses critical thinking in order to provide a characterization of this type of solution. Best practices integrate human judgment with AI recommendations for balanced, ethical results.The paper also addresses challenges such as security, ethics and resistance to change, while considering future adoption trends. By combining role analysis, benefits, governance and critical thinking, it offers a comprehensive view of responsible AI integration in organizations.

Enabling Digital Logistics: A Literature Review on the Principles of Digitalization, Systems Integration, and Broker Enhancement.

2025-10-04T20:53:34+03:00

Enhancing supply chain effectiveness through improved collaboration among partners is a central theme in logistics digitalization research. Objectives: In response to this trend, this study investigates the integration of Transport Management Systems (TMS) with third-party Software as a Service(SaaS), platforms, focusing on how such integrations can enhance logistics brokerage capabilities via system interoperability and digital transformation principles. A systematic literature review, guided by the PRISMA protocol, was conducted to examine peer-reviewed studies from the past five years addressing digitalization in logistics, particularly from the perspective of TMS integration and the evolving function of logistics brokers. The analysis employs a four-dimensional model based on Layered Systems and Modular Architecture Theory to synthesize current findings. Results indicate a fragmented understanding of the strategic potential of SaaS integration in logistics brokerage.

The study underscores the critical role of platform interoperability and seamless system integration in optimizing logistics operations and enhancing service delivery across the supply chain. Implications: The findings offer practical implications for logistics brokers and supply chain managers, advocating for a holistic, system-level approach to digital integration.

Originality value: This research contributes to bridging existing knowledge gaps and contributes to a conceptual foundation for developing strategic frameworks that support effective TMS integration with partner SaaS platforms to generate synergies

Exploring Interconnections of Digital Marketing Risks: A Causal Modeling Approach

2025-09-28T22:01:26+03:00

This paper, as a continuation of previous work on risk management in digital marketing, presents a detailed methodology for analyzing the interdependencies among identified digital marketing risks. Building upon a prior risk identification and assessment framework, this study proposes the application of the Decision-Making Trial and Evaluation Laboratory method to uncover the complex causal relationships and influence dynamics between these risks. By focusing on the interconnected nature of risks such as non-competitive products, missing data, falling behind competition, loss of digital visibility, cybersecurity compromised, fall in sales, customer migration, brand image damage, brand image enhancement, and investing to generate sales, this research aims to provide a structured approach to understanding their systemic interactions. The methodology outlined herein will guide future data collection from marketing experts, facilitating a comprehensive analysis that can inform more effective and proactive risk mitigation strategies in the dynamic digital marketing landscape.

Artificial Intelligence Tools Used for Graphic Content Generation

2025-10-10T14:13:00+03:00

Regardless of the industries, a basic component that we find everywhere lately in the context of marketing and promotion, is the result of artificial intelligence, whether we are referring to written content, visual content, videos or a combination of them. As social media remains one of the basic channels for promoting companies, the visual content posted must also be of quality. In this context, it is difficult for companies to invest from the beginning in a solution that will ensure the maximization of the effects of artificial intelligence on posts. Thus, this paper aims to help the industry wishing to apply solutions based on artificial intelligence to generate visual content with concrete suggestions regarding the use of certain tools of interest. The paper presents the comparative analysis of 5 such tools, which are compared based on clear evaluation criteria. Through the results of the study, the authors suggest the NightCafe solution as one of the most suitable for a company that wants to generate visual content with the help of artificial intelligence, this result being based on the detailed comparative analysis presented in this study.

Making DGASPC SECTOR 5 More Efficient through Digitalization

2025-10-07T10:35:22+03:00

The efficiency of the way of working in public institutions, such as the General Directorate of Social Assistance and Child Protection (DGASPC) Sector 5, through digitalization is a relevant topic in the current context of digital transformation in the public sector. Digitalization in this area not only improves the efficiency of administrative operations but also contributes to increasing the transparency and accessibility of the services offered to citizens. Most importantly, the reduction of waiting times through the implementation of digital solutions, such as electronic document management systems or online service platforms, can significantly reduce processing times for applications and other administrative documents. They allow DGASPC staff to handle requests faster, without the need for manual intervention. Digitization reduces the risk of processing errors that can occur when handling documents manually, with a direct impact on the accuracy and efficxiency of administrative acts. Digitization makes it easier for citizens to access the services of public institutions through online platforms, for those targeting vulnerable people such as children, families in need or people with disabilities. This makes it possible to submit documents or access essential information without the need for the citizens to physically go to the premises.

Research Instrument for Assessing the Integration Level of IoT Technologies for the Green and Digital Transition in Organizations

2025-10-06T16:21:34+03:00

This paper aims to develop a research instrument—a questionnaire—designed to assess the integration level of Internet of Things (IoT) technologies in organizations. The goal is to identify the current state of digitalization and its contribution to sustainability, providing a basis for future studies and comparative analyses.
The questionnaire can be used by researchers, managers, and decision-makers to identify challenges and opportunities in the green and digital transition. Depending on available time and resources, a pilot application is also considered to collect relevant data from public and private sector organizations.
This study proposes a well-structured and applicable instrument suitable for various organizational contexts. It contributes to evaluating the integration level of IoT devices and supports strategic decision-making aimed at increasing operational efficiency and advancing sustainability through technology.

The impact of Artificial Intelligence utilization on customer experience in the telecommunications sector

2025-09-16T22:09:07+03:00

The way businesses handle customer relations and service quality has changed as a result of the increasing integration of artificial intelligence (AI) into telecommunications services. Although AI is frequently acknowledged in the literature as a force for efficiency, responsiveness, and individualized service, research also raises issues with data security, accuracy, and the absence of human empathy. In light of this, the current study examines how AI affects customer experience in the telecom industry, emphasizing effectiveness, satisfaction, and trust. A structured questionnaire given to telecom users serves as the basis for the quantitative design of the study. Both descriptive and inferential methods are used in the processing and analysis of respondent data using IBM SPSS Statistics. The following are the primary research questions: Does AI help make services faster and more dependable? How much do consumers trust AI systems? What connection exists between willingness to accept AI-enabled service interactions and customer satisfaction?

Initial findings indicate that although consumers appreciate AI-based services' speed, availability, and convenience, they also voice concerns about data privacy and the precision of automated responses. These results suggest that while AI can enhance customer satisfaction and service quality, it must be used in conjunction with managerial techniques that foster openness and confidence. With its empirical data and insights into how managers can strategically integrate AI to maximize resources, enhance service quality, and boost customer loyalty, this paper adds to the body of literature already available on how customers perceive AI in telecommunications. Thus, the study fills the gap between theoretical viewpoints and useful suggestions for managing innovation in the telecom sector.

Furthermore, the results highlight that the effectiveness of AI deployment in telecommunications is contingent not only on technical prowess but also on how businesses interact openly with clients and handle security and trust issues.

Balancing digital transformation and employee well-being within the organizational framework

2025-10-03T11:40:33+03:00

This paper aims to conduct an analysis of digital leadership, the ways in which managers can use digital means during their work, and also to help other employees active in organizational processes to successfully include these tools to streamline their work, maintaining a balance between innovation and employee well-being. Through relevant case studies, this research offers some directions to support managers/leaders, aware that digital advances, while increasing productivity, can also lead to increased stress, insecurity, and burnout among employees. The main objective of this paper is to identify innovative leadership strategies focused on the health and resilience of the workforce. This analysis is intended to serve as guidelines for managers, human resources specialists, other leaders (for example, team leaders) and in general decision-makers who understand the importance of implementing strategies regarding the facilitation of an effective transition in the context of digital transformation. In this sense, cases of burnout can be prevented or mitigated, while ensuring the alignment of the organization's overall objectives, without affecting actions to encourage competitiveness (through digitalization), with efforts to maintain employee well-being. Researchers can use this study to further examine the intersection of leadership, technology, and employee mental health in digital workplaces. This paper does not focus exclusively on profitability and organizational efficiency – although these are certainly aspects to consider – in a restrictive and immediate sense, but rather considers the concept of digital leadership, which ensures that digital progress does not come at the expense of employee health or the long-term viability of the business. In other words, the study addresses the practical ways in which the paradigm shift can be managed - as a result of the evolution of digital tools - prioritizing both technological progress and human sustainability.

The Development of Digitalization Management in the Automotive Industry: Processes and Challenges

2025-09-30T18:00:55+03:00

Digitalization represents one of the most significant transformations with a direct impact on the competitiveness, sustainability, and adaptability of modern organizations. The adoption of digital technologies is no longer an option, but an essential condition for survival and adaptation, particularly in the economic and technological context shaped by Industry 4.0 and the transition towards Industry 5.0. The topic is highly relevant given the accelerated transformation of market requests, the speed of technological change, as well as increasing pressures related to sustainability and competitiveness. The paper contributes to the topic by analyzing the current stage of digitalization management in the automotive industry, by structuring the processes and stages specific to digital transformation. This analysis provides a clear understanding of how organizations can approach digitalization in a systematic manner, with illustrative examples from the automotive sector, thereby reducing risks and maximizing benefits. Taking into consideration that the world is changing constant, digitalization stands as a transformative driver of the economic and technological environment, enabling companies to adapt swiftly, foster innovation, and maintain competitiveness.

IoT Integration in Educational Institutions for a Green and Digital Transition Case Study at POLITEHNICA University of Bucharest

2025-10-06T16:18:20+03:00

This article investigates the implementation of IoT technologies in educational institutions, aiming to understand their role in supporting infrastructure digitalization and achieving sustainability objectives. The case study highlights initiatives developed at the POLITEHNICA University of Bucharest to illustrate practical applications in the academic environment.
The research offers practical examples for educational institutions aiming to adopt IoT-based digital solutions to optimize resources and reduce their environmental footprint. The case study provides transferable models that can be replicated in similar educational contexts.
This paper is grounded in a real-world case study, documenting IoT initiatives within a Romanian university. It examines concrete applications such as environmental monitoring, process automation, and green energy projects, offering insights into sustainable digital transformation in higher education.

Interpretable Deep Reinforcement Learning for Dynamic Truck Dispatching in Open-Pit Mining

2025-10-17T20:37:07+03:00

Dynamic resource allocation under uncertainty is a core challenge in operations research, particularly in capital-intensive sectors such as open-pit mining, where suboptimal dispatching decisions can lead to substantial productivity losses and increased operational costs. This paper proposes a Deep Reinforcement Learning framework to address the dynamic truck assignment problem in open-pit mining, with a dual focus on performance optimization and policy interpretability. The problem is formulated as a Markov Decision Process (MDP) and implemented within a discrete-event simulation environment that replicates the stochastic dynamics of truck-shovel operations. A Deep Q-Learning approach with neural network function approximation is employed to learn adaptive dispatching policies directly from simulated experience. To enhance transparency, we integrate Explainable Artificial Intelligence (XAI) methods to interpret and validate the learned decision strategies. Experimental results show that the proposed framework significantly outperforms heuristic and random dispatching baselines in terms of resource utilization and operational efficiency. Moreover, the incorporation of explainability provides actionable insights into policy behavior, bridging the gap between autonomous optimization and human-centered decision support in complex industrial systems

A Supervised Framework for Document Processing at Scale with Large Language Models in Credit-Risk Research

2025-10-10T14:28:14+03:00

In a time of exponentially growing unstructured digital content, automatic information extraction from huge corpora is an indispensable ability for the modern economy and research. Credit risk research is based on a wide scientific literature content, hard to be synthesized and compared because of its multiple layers of models and results. Recent breakthroughs in large language models mitigate this limitation for partially automated extraction, but the majority of tools available today suffer from low reproducibility, accuracy, and faithfulness of extracted information. This paper presents an approach of a supervised large language model to generate semi-structured data used for performing automatic document processing on credit risk research papers. This work challenges how well a supervised approach can extract structured information, such as model names, performance measures, validation types and reference lists from diverse sources and digital formats. The method uses schema based guidance with automatic text retrieval. Documents are processed independently and transformed into a structured schema that is compared with a ground truth to evaluate accuracy, completeness, and faithfulness. The key evaluation parameters are title, authors, year, DOI, journal, model identification, metrics and references. Results demonstrate that the proposed supervised strategy is capable of producing higher precision, completeness and reproducibility than using general large language model extractions. It demonstrates much lower hallucination and omission error and increased content coverage. The framework is able to parse a variety of academic papers, and provides robust results across required metadata. Outside of the scientific literature, the architecture is applicable to other types of unstructured documents to credit risk research, such as annual financial statements, audit reports or legal verdicts. These results validate that a supervised and tractable pipeline forges the basis of large scale evidence mapping and analytic automation, which enable knowledge integration and future predictive modeling in risk analytics and beyond.

Bibliometric Analysis of Research on Process Optimisation in the Telecommunications Industry

2025-09-16T22:06:37+03:00

The transition from 1G to 6G network architectures, backbone infrastructures, and sophisticated Quality of Service (QoS) requirements has contributed to the growing complexity of telecommunications services, increasing interest in process optimization among researchers. Emerging technologies are reshaping operational models, enhancing scalability, and redefining service delivery. Examples include artificial intelligence, big data analytics, robotic process automation (RPA), machine learning, and the convergence of 5G and IoT.Focusing on trends, leading authors, countries, and key research areas related to process optimization in telecommunications, this paper presents a bibliometric analysis of publications indexed by Scopus between 2005 and 2025. To map the field’s collaborative and intellectual structures, citation patterns, co-authorship networks, and keyword co-occurrences were examined using VOSviewer and Scopus.The findings show that scientific output has increased steadily over the past decade, peaking in areas such as advanced network management, digital transformation strategies, AI-enabled predictive maintenance, and customer experience optimization. While collaboration networks reveal distinct clusters of expertise, the analysis also highlights the dominance of research output from the US, China, and the EU. By combining bibliometric evidence with insights into network evolution, KPI frameworks, and automation practices, this study provides researchers and practitioners with a comprehensive understanding of current trends, emerging directions, and key research gaps in telecom process optimization.

Digital anxiety the psychological toll of constant technological change in the workplace

2025-10-03T11:44:44+03:00

This paper aims to analyze the phenomenon of digital anxiety – which is a psychological state and is characterized by the fear of not being up to date with technological evolution, which produces stress and, in more severe cases, burnout or other psycho-emotional problems. Aiming to conduct a review of relevant studies in the field regarding key stressors related to digital transformation, as well as strategies for mitigating their impact, the paper explores the intersection of technology, mental health and organizational change. Moreover, this study attempts to build a pertinent analysis of psychologically sustainable digital adaptation methods. The paper is a useful resource for general managers, business people, HR specialists and other decision-makers to improve workforce capacity – and therefore overall organizational performance – by raising awareness of the phenomenon of digital anxiety and implementing measures to mitigate it. This research is also valuable for academics studying workplace psychology and technological adaptation, providing new insights into the emotional and cognitive aspects of digital change. By introducing and addressing the concept of digital anxiety as a crucial factor in the evolution of workplace stress, the research offers a new perspective on employee well-being in the digital age. This study does not refer to digital transformation as a certain and inevitable progress, but highlights the psychological patterns it creates among employees. In addition, this is a cross-sectional study focused on the mapping of already successfully tested digital anxiety mitigation techniques and examples

Bibliometric analysis of research trends in mobile telecommunications service quality

2025-10-16T11:37:31+03:00

Researchers and industry stakeholders have been paying more attention to the quality of mobile telecommunications services in recent years, particularly as 5G technologies are being deployed more quickly and user expectations are becoming more complex. In order to identify significant authors, journals, keywords, and thematic trends, this study offers a thorough bibliometric analysis of scientific research in the area of mobile telecom service quality. The Bibliometrix R-package and VOSviewer were used to perform the analysis, which was based on 177 publications that were indexed in the Scopus database between 2000 and 2025. The results show that scholarly interest has been steadily increasing, that user-centric approaches (QoE and satisfaction) are replacing purely technical performance indicators (such as QoS), and that new themes like AI integration, Agile frameworks, and service innovation are emerging. The intellectual terrain of telecom service quality research is systematically reviewed in this paper, which also identifies important areas for further investigation.

Automated reporting in the Automotive Software Industry: Impact, Benefits and Challenges

2025-09-28T22:06:12+03:00

This study explores how Quality Assurance (QA) engineers perceive the impact, benefits and challenges of automated reporting processes. Based on a structured survey distributed to 108 respondents from Romania and other countries such as the Czech Republic and India, the study explores how two key independent variables – QA experience and entry path into the field – influence their opinions about manual or automated reports. Despite expectations that experience level would lead to differing opinions, the results show a strong agreement among respondents, including a consistent recognition of the challenges associated with manual reporting, such as human error, data inconsistency, and time inefficiency. Respondents showed strong support for automation, emphasizing its potential to improve efficiency, accuracy, and overall software quality. Real-time access to quality reports was very important, indicating a common need for timely and reliable information in QA workflows. These findings help prepare for future analysis that will explore the strength of relationships between the key variables and identifying factors that influence the adoption of automated tools in QA.

The Role of AI-Driven Medical Devices in Digital Transformation of Healthcare Systems

2025-10-14T17:16:59+03:00

The digital transformation of healthcare systems has accelerated in the last decade, driven largely by advancements in artificial intelligence (AI) and the integration of AI-driven medical devices into clinical workflows. AI technologies such as machine learning, natural language processing, and computer vision have enhanced diagnostic accuracy, predictive analytics, and personalized treatment pathways, thereby reshaping traditional models of healthcare delivery. This paper examines the role of AI-driven medical devices in facilitating digital transformation, exploring both opportunities and challenges. A systematic review of current literature was undertaken to evaluate key applications across diagnostics, monitoring, and therapeutic interventions. The study employs a bibliometric analysis and a qualitative synthesis of peer-reviewed literature and research case studies from healthcare institutions that have adopted AI-based technologies. Findings suggest that AI-driven medical devices significantly improve patient outcomes by enabling early disease detection, real-time monitoring, and precision therapies. However, issues such as algorithmic bias, interoperability, regulatory uncertainty, and data privacy remain pressing barriers to large-scale adoption. The paper concludes that AI-driven devices represent a central pillar in the digitalization of healthcare systems, provided that ethical frameworks, governance mechanisms, and robust infrastructures are established. The contribution of this study lies in offering an integrative framework for understanding how AI-enabled medical devices not only transform clinical practices but also redefine the broader healthcare ecosystem, thereby advancing the goals of efficiency, equity, and sustainability.

Applying Agile and AI methodologies to incident management in mobile networks

2025-10-08T20:35:55+03:00

Effective incident management is important for maintaining service continuity and user satisfaction in the ever-changing telecommunications industry of today. Conventional methods frequently depend on strict, sequential workflows that impede responsiveness and delay resolution. To overcome these constraints, this paper suggests an improved incident management framework that incorporates AI and Agile approaches. We simulate both a traditional resolution model and an enhanced Agile and AI scenario using a critical fiber cut that impacts more than 15,000 ONUs as a case study. The improved model uses AI to automatically classify incidents, correlate data, and assign tasks based on roles, while Agile sprint planning allows for parallel execution and real-time progress monitoring. Time-boxed sprints are used to organise tasks, improving coordination and cutting down on escalation delays. In comparison to the conventional method, simulation results indicate a 20% reduction in overall expenses and a 1h 45m reduction in resolution time. The results imply that a more proactive, open, and effective response to network incidents is made possible by fusing AI automation with Agile principles. By showing how Agile and AI can work together to optimise incident workflows, increase resilience, and improve service quality in critical infrastructure environments, this study adds to the expanding body of research on digital transformation in telecom operations.

Research on the use of artificial intelligence for improving processes in service industry organizations

2025-10-09T10:17:19+03:00

This research explores the impact of Artificial Intelligence (AI) on marketing processes within the hospitality industry, focusing on Romanian entrepreneurial firms. The study highlights the growing role of AI in enhancing customer experience, personalization, campaign automation, and operational efficiency. A comprehensive literature review presents the specific features of hospitality marketing and the increasing integration of digital technologies. The empirical part of the research adopts a descriptive and exploratory quantitative approach, based on a structured questionnaire distributed to managers and employees from hotels, restaurants, and travel agencies. Using IBM SPSS Statistics, the analysis demonstrates a moderate to high level of AI adoption, with significant improvements reported in customer retention, conversion rates, and return on investment. At the same time, the research identifies challenges such as high implementation costs, limited technical expertise, and cultural resistance. Findings also reveal differences between large organizations and small and medium-sized enterprises in terms of digital maturity and capacity to implement AI-driven solutions. The study contributes to both academic and practical debates by offering new insights into how AI can reshape hospitality marketing, while emphasizing the importance of staff training, ethical data usage, and strategic investment in digital infrastructure.

An Adaptive Model for the Development of Management Competencies in the Domain of Artificial Intelligence

2025-10-14T13:16:37+03:00

Artificial Intelligence (AI) dramatically changes the way business is done today. It provides significant opportunities for operational improvements, increased speed and efficiency and shorter time-to-market. Yet the use of AI also raises ethical, legal and security concers. In order to realise its benefits and avoid its pitfalls, managers need to understand the main concepts, tools and techniques available to them in the AI domain of knowledge. They need to become skilled at validating the multiple business cases of using AI in their specific domain, but also at avoiding wrong AI investment decisions. Managers need to be open to experimenting with AI but also educate themselves and the other stakeholders of their business on having realistic expectations from the adoption of AI.

The competencies that managers need to develop in the area of AI, regardless of their role and business function they operate in, has become subject of increased research recently. We have also answered to a few related research questions in our previous papers: “What do managers need to know in the area of Artificial Intelligence?” and “How to organize the AI domain of knowledge to be fit for tutoring managers” or “What could be a proper architecture for an Intelligent Tutoring System for business”[3]. In this paper, we investigate the actual process of developing AI managerial competencies by the use of Intelligent Tutoring Systems (ITS). We thus now search the answer to the following specific research question:

How can we accelerate the process of AI managerial competencies development by using adaptive learning technologies?

At this stage, this is a desktop research of the topic and also a proposal for discussion. The subject can only be further tested and quantitatively explored once we develop a first prototype of the ITS.

Guiding Digital Transformation in Logistics:

2025-10-03T22:54:58+03:00

Digital transformation in the logistics sector is often guided by instinctive responses to market shifts rather than structured, criteria-based planning. Objectives: This study investigates how a conceptual framework for digital transformation can support logistics companies—particularly freight forwarders—in making informed, strategic decisions when adopting Transport Management Systems (TMS). Rather than treating digital tools as isolated technological upgrades, the framework emphasizes the importance of aligning system functionalities with both the internal conditions of the organization and the broader external environment, including market, regulatory, and technological factors.

To evaluate the robustness of the framework, a practical example is presented involving the selection of a TMS through the application of the developed methodology. The findings suggest that the framework offers strong potential in helping logistics firms navigate the complexity of TMS selection, especially in contexts where internal needs and external pressures intersect. By bridging company-specific requirements with market-facing functionalities, the framework fosters better alignment between digital tools and strategic goals.

Implications: Ultimately, this research offers a structured yet adaptable approach for logistics managers seeking to guide digital transformation not through guesswork, but through informed, context-sensitive evaluation. Originality value: In doing so, it contributes a practical decision-support model for enhancing the long-term effectiveness of technology adoption in freight forwarding operations.

Extending Incentive-Based Port Logistics Optimization Through AI-Driven Multimodal Integration

2025-09-28T21:53:41+03:00

This paper proposes an AI-based extension of an incentive-compatible logistics coordination model originally developed for port operations. Building upon the smart contract–driven framework introduced by Hu and Zuo, the study integrates real-time adaptive mechanisms across maritime, port, and urban transport systems. The conceptual architecture incorporates decentralized AI modules to enhance routing, traffic signal control, and operational responsiveness under dynamic conditions. To evaluate the proposed model, a simulation was conducted using MATSim, comparing fixed-time and adaptive signal scenarios within a high-density urban network. The adaptive system employed a decentralized signal controller capable of adjusting traffic light phases in response to local demand. Results showed a significant reduction in average travel time and delay under adaptive control, supporting the effectiveness of real-time coordination in logistics networks. While the simulation outcomes are based on ideal conditions, the underlying logic and comparative insights remain valid and practically relevant. The findings suggest that AI-based control strategies can complement incentive mechanisms by enhancing short-term adaptability and system resilience. This hybrid approach represents a promising direction for managing complexity in multi-modal, port-connected urban logistics chains.

Digital Transformation of Transport Logistics: from 1.0 to 4.0

2025-10-14T18:30:43+03:00

The transport and logistics sector is undergoing profound changes driven by digital transformation, evolving from early computerized planning (1.0) to highly integrated, AI-powered systems (4.0). Existing literature outlines successive waves of digitalization: initial route optimization tools, sensor-based IoT and telematics for real-time monitoring, advanced geospatial tracking platforms for supply chain visibility, and, most recently, artificial intelligence and machine learning for predictive and adaptive decision-making. However, despite substantial research on individual technologies, fewer studies systematically map these phases as an integrated transformation continuum. This paper addresses that gap by reviewing the technological evolution of transport logistics through the 1.0–4.0 framework and analyzing how these stages build on one another toward autonomous systems. Methodologically, the paper employs a structured literature review combined with conceptual modeling to answer two research questions: (1) How can the historical evolution of transport logistics digitalization be categorized into coherent stages? (2) What are the implications of this staged transformation for operational efficiency, visibility, and strategic decision-making? The main results outline a four-stage model of digital transformation, demonstrating the cumulative integration of IoT, geospatial data, and AI in creating intelligent, interconnected systems. The paper highlights implications for fleet management, predictive maintenance, demand forecasting, and dynamic routing, contributing to improved responsiveness and resilience in supply chains. This work contributes to the field by offering a clear, stage-based conceptual framework to understand digital transformation in transport logistics, supporting both academic research and practical planning for technology adoption in the sector.

Digital Agriculture Practices and Innovative Product Development Strategies

2025-10-20T10:54:08+03:00

In recent years, digitization in the agricultural sector has made production processes more efficient, sustainable, and traceable. Tools such as IoT-based sensors, AI-powered decision support systems, UAV, and satellite technologies play an important role in the digital transformation of agriculture. This study examines the implementation of digital agriculture technologies, their impact on the sector, and innovative product development strategies. Case studies of digital agriculture applications developed in countries such as Türkiye, Italy, Spain, and Australia are being conducted, and the impact of these applications on water conservation, increased yield, product quality, and sustainability is being evaluated. Additionally, solutions are proposed to address challenges encountered in digital agriculture applications, such as digital skill gaps, inadequate rural internet infrastructure, and data ownership issues. The study's findings highlight that digital agriculture offers significant opportunities for sustainable development and economic growth, emphasizing the importance of user participation, field testing, and open data platforms in innovative product development processes.

Evolution of research on the use of spatial data in Industry 4.0. A bibliometrics research

2025-10-10T12:25:18+03:00

The digital revolution marked by the transition to Industry 4.0 has generated a profound transformation in the way organizations collect, process and use information. In this regard, a crucial component of the digitalisation process is the integration of digital technologies with spatial systems, namely through the use of geographic data and digital twin models (Digital Twins). In order to determine the primary research trends, networks of collaboration, and new directions, this study offers a bibliometric analysis of scientific papers investigating the use of spatial data and GIS systems within Industry 4.0. The results stress the importance of geographical information in bolstering digital processes and the necessity of multidisciplinary cooperation in order to create operational solutions that are both scalable and interoperable.

A comprehensive overview of key performance, key values and enterprise architecture indicators in 6G development

2025-11-04T14:42:26+02:00

The next generation of mobile wireless communication is still in the development phase, expected to be deployed in 2030, but the academia and industry have started the investment into research and development from the early stages of the capabilities, applications, technologies and use cases of 6G. Due to the introduction of new capabilities, technologies and applications, the set key performance indicators must be increased by introducing new metrics that will cover all the areas. This paper aims to provide the reader with a systematic literature review on key performance indicators, a comparison between 5G and 6G being structured into four main categories: data rate & delay capacity & coverage, service efficiency and diversified service evaluation,he impact of security and privacy, where a set of security key performance indicators has been analyzed, the role of Artificial Intelligence in 6G network and a set of possible KPI that can evaluate the capabilities of AI, key value indicators with the applicability in 5G and 6G and enterprise architecture indicators. The paper will complete the literature by highlighting the relationship between these three types of indicators, their impact on mobile wireless communication and will facilitate the analysis from two perspective as technical metrics of the services and from the business perspective, focusing on the capabilities of the companies from telecommunication industry

Management Ante Management: Proverbial Expressions with Management and Administration Meaning in the Ancient Books of Wisdom

2025-09-16T22:10:34+03:00

This essay presents a novel perspective on the old books of wisdom from that perspective of displaying, besides cultural heritage and particular value, meanings of management and management (good governance included), yet applicable – mutatis mutandis – in current circumstances, too. The ancient examples discussed were produced many centuries and millennia ago, well before the seminal works on scientific management were (end of the 19th century–beginning of the 20th century). The research approach consisted of identifying proverbial expressions and formulations (relevant from the standpoint of management) in works from antiquity (known as books of wisdom). Then these relevant fragments were extracted and discussed in the contemporary environment, still understanding the original circumstances when they were generated. The purpose of this paper is to display a part only of this effort, limited to three representative examples from ancient Chinese, Indian and Mesopotamian books of wisdom. There are two main objectives while investigating this less studied area: (i) to provide a definitive answer relative to the existence of such fragments; if the answer is positive then (ii) to assess and discuss their characteristics. This endeavour contributes at better understanding ancient roots which served as necessary philosophical and practical background for later contributors to the contemporary scientific management and administration science. The implications are multifaceted, on a large range, not only for management and its origins: from cultural and philosophical to social and historical perspectives, for both synchronous and longitudinal comparative studies. Deeper studies may provide evidence for the ancestors’ way of life and work, about their crafts and trades, money and business, about how their institutions were administered, communities were ruled and, ultimately, they have progressed and developed.

A decision-support tool for evaluating employee contribution toward organizational excellence

2025-10-06T17:26:19+03:00

Evaluating individual employee performance in relation to job expectations is very important yet often subjective process in many organizations. This paper presents a decision-support tool designed to objectively assess employee contribution based on predefined job profiles and recorded task performance. The tool computes a composite performance score by analyzing task execution, completion rate, and alignment with role-specific weightings. Beyond basic scoring, the tool introduces innovative features such as gap analysis (identifying unfulfilled tasks), an efficiency index (comparing individual performance to the role average), and automated managerial recommendations (bonus eligibility, performance alerts, etc.). The implementation is supported by a user-friendly graphical interface and spreadsheet-based input for easy adoption. This contribution addresses the growing need for transparent, data-driven workforce evaluation systems that support operational excellence and informed HR decision-making. The tool is suitable for integration into small-to-medium organizations or for piloting strategic workforce optimization initiatives.

Hybrid Management in Construction Projects – Integrating Agile and Traditional Methodologies

2025-09-27T23:25:07+03:00

In the context of profound transformations within the construction industry, an increasing number of organizations are exploring flexible project management models. This paper analyzes the applicability and impact of hybrid management, a combination of traditional and Agile methods, in civil, industrial and infrastructure construction projects. Based on two previous studies, both the benefits and limitations of the two approaches are highlighted, with an emphasis on how they can be effectively integrated into a unified framework. The hybrid approach allows the alignment of the rigor of traditional planning with the adaptability and collaboration provided by Agile methods. In industrial and infrastructure projects, where technical constraints and regulations are significant, the traditional component remains essential. Conversely, civil projects show a greater openness to Agile tools due to more flexible processes and active stakeholder involvement. The paper highlights specialists’ perceptions regarding team readiness, managerial support and implementation barriers. It also discusses favorable premises for hybrid integration, such as digitalization, collaborative culture and a focus on incremental delivery. In conclusion, the study presents the usefulness of hybrid management in increasing project efficiency and outlines future research directions, including the development of integration models tailored to each project type.

Workers with disabilities: Context and trends in international research

2025-10-03T11:32:52+03:00

Abstract. This paper attempts to observe trends in the field-specific literature regarding workers with disabilities in the international context of specialized literature, by using keywords to determine the number of publications containing these keywords, countries that publish the most in this regard, the trends regarding these workers, and society's perception of disability in the context of employees with disabilities. The specialized literature on workers with disabilities focuses on discrimination, the barriers they encounter, and how to address them. In particular, researchers' view of workers with disabilities is largely through a medical lens, and solving these problems requires a solution to address the issue. To observe this stage of the literature in this field, the Web of Science Core Collection database was used to analyze the literature published, as databases of this kind provide a standardized and easily understandable way to search for and analyze information. The authors used VOSviewer to generate comprehensive knowledge maps to analyze the links between keywords using the co-occurrence method. Observing trends in the literature using bibliometric and scientometric research methods is essential to create a realistic and comprehensive view of the research field of workers with disabilities.

The importance of teachers' leadership in shaping students prepared for the challenges of technology-driven society of tomorrow

2025-10-03T11:38:05+03:00

Objectives: This paper analyzes the role of teacher leadership and its impact on the development of the skills students need to face the challenges of technology-driven society of tomorrow. The literature review section presents various studies examining the influence of teacher leadership on students' skill development, while the empirical part presents the results of a survey conducted in a private high school in Bucharest, Romania, where teachers benefit from ongoing training and leadership support.

Implication: The study results are relevant for teachers, school principals, and other stakeholders in teacher education. Additionally, fostering effective leadership within teaching teams and encouraging student leadership in the classroom can enhance student motivation and resilience, both of which are essential for adapting to the ever-evolving demands of the labor market.

Originality Value: This research brings a new perspective on teacher leadership, especially because there are no well-defined leadership programs in schools and their benefits are not well known by teachers, principals or other educational actors. The paper proposes a model of educational leadership that combines change management with the development of 21st century skills and real connection between teachers and students.

Determinants of employment benefits disclosure in Baltic companies’ financial statements

2025-10-06T17:43:39+03:00

This study investigates the extent and determinants of employee benefits disclosure in the financial statements of companies listed on the Baltic Stock Exchange (Lithuania, Latvia, and Estonia) during the period 2019–2023. Given the significance of employee-related costs and the obligations imposed by IFRS—particularly IAS 19, IAS 24, and IFRS 2—the research aims to assess how comprehensively companies comply with these standards and which determinants influence their reporting practices. The study uses a structured disclosure checklist and constructs an information disclosure index (IDI) based on the presence and completeness of required disclosures. Data were collected from 14 companies in the consumer goods and utilities sectors. The average IDI was found to be 73.89%, indicating a medium level of disclosure, with notable variation across companies and countries.

Using multivariate panel regression, the study identifies company size, financial leverage, and sector as statistically significant determinants of disclosure. Larger companies tend to disclose less, while firms with higher leverage disclose more. Companies in the utilities sector provide more comprehensive disclosures than those in consumer goods. Profitability, audit firm (Big4), and corporate governance variables (board size and independence) did not show significant influence. The findings partially align with international literature but diverge in key areas, especially regarding the non-significance of profitability and auditing by Big4 in the Baltic context.

The regression model explained approximately 29% of the variation in disclosure levels. The study also confirms that inconsistencies in reporting may stem from differences in economic conditions, industry characteristics, and institutional pressures across regions. The research offers practical implications for regulators, auditors, investors, top managers of the companies, and financial statement preparers, urging stricter enforcement and deeper understanding of IAS/IFRS requirements. It also highlights the need for future research in similar fast-developing markets using broader datasets and additional explanatory variables.

Quality Management Systems in Medical Devices: Barriers and Solutions in ISO 13485 Implementation

2025-09-30T17:53:19+03:00

Drawing on the growing focus on regulatory efficiency, this paper examines the challenges that companies in the medical device (MD) sector face when implementing ISO 13485 and explores practical solutions for integrating the standard. There is a lack of research addressing the practical implementation of a dedicated Quality Management System (QMS), leaving a gap in guidance for MD manufacturers facing compliance challenges; this study systematically reviewed the existing literature to highlight recurring patterns and identify knowledge gaps. Based on a systematic review of the literature from 2016 to 2025, we address two questions: (1) What are the main challenges in implementing ISO 13485? and (2) What strategies have organizations used to overcome these challenges? Our research highlights five main challenges. These include resistance to organizational change, limited resources, lack of knowledge about QMSs, complex and fragmented regulations, and the absence of clear practical guidance in the standard. In particular, regulatory fragmentation, resource constraints, and organizational resistance often create delays, inefficiencies, and interpretative inconsistencies, especially in artificial intelligence-based medical technologies. To address these challenges, organizations have implemented process phasing, formed strategic partnerships, and provided customized training. Leadership commitment and early integration of QMS are key factors for success, especially for startups, while digital validation systems improve the traceability of documentation for regulatory audits. Harmonized regulatory frameworks, modular approaches to QMS, and ongoing assessments of identified risks can contribute to more sustainable implementation. Overall, our findings highlight the need for scalable models, regulatory alignment, and engaged leadership to drive quality, compliance, and innovation in the healthcare industry.

AI adoption and organizational change: insights from international and local perspectives

2025-10-02T20:06:51+03:00

This study investigates organizational change within the context of artificial intelligence (AI). It combines a comprehensive review of key theories and international research with an analysis of AI policies implemented by three IT and technology companies operating in Romania. Employing a qualitative content analysis within a multiple case study approach, the research focuses on three primary dimensions: workforce development and adaptation, organizational culture, and ethical and governance principles. The results show that the companies' policies align with global trends, through ethical and responsible use of AI and protective measures for employees. Given the characteristics of the organizations studied, this conclusion should be interpreted with caution. It is important to recognize that global trends may manifest differently across the policies of companies in various industries or of differing sizes. The study emphasizes the need for flexible, customized AI policies that are aligned with organizations’ digital maturity, rather than relying on standardized objectives. Furthermore, beyond organizational culture, future research should focus on technological resources and cultural specificities of organizations to evaluate the implementation and management of artificial intelligence.

Competitive advantage in Multicultural Companies in Industry

2025-10-14T13:17:41+03:00

In an increasingly globalized world, multiculturalism has become a defining feature of contemporary organizations, particularly in the industrial field. Multiculturalism reflects the acknowledgement of diversity and the encouragement of equitable practices within organizations and society. The topic is highly significant in contemporary context, as global interconnectedness brings employees from diverse cultural backgrounds into the same workplace. Whan managed effectively, multiculturalism fosters inclusivity, mutual respect and cooperation, creating the foundation for a sustainable competitive advantage. Through globalization, companies gain opportunities for knowledge exchange, innovation and organizational adaptability. However, it also presents some challenges such as cultural homogenization and integration difficulties. Theoretical frameworks emphasize that cultural diversity is not only a structural characteristic of organizations but also a dynamic process of interaction, learning and co-creation. Companies that integrate multiculturalism advance beyond simple tolerance toward meaningful collaboration, where diversity becomes a strategic resource. For industrial companies, multicultural teams bring distinctive approaches to problem solving, technical innovation and adaptation to global markets. Diversity supports creative solutions, more efficient communication and stronger brand recognition, contributing also to employee satisfaction and retention. The paper contributes to the topic by providing a practical perspective through case analysis. By examining real-world examples, it highlights how industrial companies leverage multiculturalism to strengthen their competitive positioning. The findings illustrate that a well-managed multicultural workforce generates innovation, operational efficiency and long-term organizational growth, demonstrating that multiculturalism is not an optional practice but a strategic necessity in today’s industrial landscape.

A Random Forest decision-support tool for managing education that uses CSV-based LMS interaction data as its basis

2025-10-02T18:24:32+03:00

This study presents a decision-support application that employs a machine learning model based on data regarding how engaged students are to suggest individualized treatments. The system takes in CSV files that contain information about participation rates, how often students use the LMS, how many assignments they do, and feedback from teachers. The model makes predictions about what new students should do based on labeled examples. For example, it might say "Mentorship recommended" or "Alert—Immediate action needed." The program has a user-friendly GUI made with PySimpleGUI that makes it easy to submit files, train the model, and show predictions. You can make up the data you use for training, but the format works with exports from popular LMS platforms like Google Classroom and Moodle. This method gives educational management an easy way to use predictive analytics to keep an eye on student involvement. The system helps data-driven educational administration and change efforts by automatically sorting students and showing early warning signs.

Managing teachers’ well-being – a pillar of sustainable development in education

2025-10-03T11:38:59+03:00

Objectives: This paper analyzes the importance of managing teachers’ well-being in achieving sustainable and quality education. The analysis is based on existing studies in specialized literature, as well as a survey conducted among teachers in Bucharest, Romania. For the education system to be sustainable, it is essential to implement strategies that help teachers remain motivated, healthy and balanced, and the present research highlights the link between teachers’ well-being and their performance in the workplace, resulting in well-prepared students with remarkable results.

Implication: The results of the study are relevant for teachers, school principals, trainers or other people who can contribute to the well-being of teachers. Promoting strategies to support teachers’ well-being and reduce burnout among them can contribute to creating high-performing learning environments and teachers’ retention in education, thus increasing the quality of education.

Originality Value: In Romania, especially after the period of exclusively online teaching, there has been increased awareness regarding the need to manage teachers’ well-being, and more resources have emerged to support them in preventing or reducing burnout. However, these resources remain insufficient and are not consistently accessible to all educators. A structured approach is needed to create a balanced educational system that can address current social and economic challenges while providing sustainable support and continuous professional development opportunities for teachers.

A Decision Analysis of the Methods and Techniques for Diagnosing the Level of Performance and Competitiveness of the STB S.A. Organization

2025-10-09T22:38:31+03:00

Organisational performance evaluation systems are crucial for driving continuous improvement and enhancing organisational competitiveness. They provide a structured framework for identifying strengths and areas for improvement, thereby supporting the development of effective long-term strategies. Proper implementation of these systems allows organizations to optimize their processes and better respond to the demands of the market. The review of the specialized literature indicates that while some frameworks focus on macroeconomic factors, others are more suitable for organizational-level evaluations. This paper proposes a detailed comparison of six methods and tools for diagnosing performance and competitiveness, intending to identify the most appropriate tool for the assessment of Bucharest Public Transport Company STB S.A. (STB S.A.). The analysis focuses on the specific methodologies and applications of each method and tool, including renowned tools such as CompNet Competitiveness Diagnostic Toolkit, WEF Global Competitiveness Index, World Bank Doing Business Report, European Foundation for Quality Management (EFQM), IMD World Competitiveness Center (WCC) and Malcolm Baldrige National Quality Award Criteria Model. The assessment is based on nine (9) key criteria, including clarity of objectives, completeness of applicability, flexibility, impact on strategic decisions and resources required for implementation. The highest ranked results are for the "Malcolm Baldrige Model", suggesting that the model is well suited to follow STB S.A.'s strategies due to its broad applicability, clarity of objectives and international recognition. The conclusion of the paper emphasizes the importance of using robust diagnostic methods to support any type of organization, and STB S.A. this situation, for developing effective strategies tailored to the needs of a more efficient public transport network.

Trends in Higher Education: Stakeholder Perspectives on Quality Assurance

2025-10-04T21:42:49+03:00

employers, academic staff, students, and graduates regarding quality assurance. The study is based on a large-scale national survey with over 6,000 participants and highlights priority areas such as university–industry cooperation, learning outcomes-based approaches, digitalization, and lifelong learning. Findings reveal convergences and divergences among stakeholders, offering valuable insights for aligning higher education reforms with labor market demands and global standards.

Analysis of Modern Methods for Management Performance Using the Analytical Criteria Method

2025-10-09T09:30:31+03:00

In today’s dynamic and competitive business environment, continuous evaluation is essential to improve the organization's competitiveness, by choosing and using the right model for evaluating and improving organizational performance. This paper identifies, describes and compares three modern models for evaluating and improving the management performance—Balanced Scorecard, EFQM Excellence Model, and the Baldrige Performance Excellence Framework—using the Analytical Criteria Method. Several evaluation criteria were selected, among which can be listed strategic alignment, flexibility, stakeholder focus, and measurability. The models were compared through pairwise evaluations to highlight their strengths. The results show that the Balanced Scorecard is strong in strategy and measurement, EFQM is appreciated for continuous improvement and stakeholder involvement, and the Baldrige Framework performs well in terms of flexibility and overall structure. Based on this comparison analysis, the models were ranked, offering useful insights and proposals for managers in choosing the most suitable approach. The paper also mentions possible directions for deep research, such as combining the models or analysing how different industries influence performance evaluation. Additionally, this study contributes to a better understanding of how decision-making processes can be improved through structured comparisons, supporting both academic and practical perspectives. The findings are particularly relevant for organizations operating in complex or regulated sectors, where adaptability and strategic clarity are essential for long-term performance. The research also opens the door for future empirical validation of the evaluation matrix proposed, by applying it in real organizational contexts.

Assessment of Quality in the Supply Chain

2025-09-30T17:54:17+03:00

This paper explores the assessment of service quality provided by a logistics transport operator in the context of increasing performance expectations in supply chain. The study focuses on aligning operational actions taken in a company’s logistics with customer requirements, by using a transport operator as a reference frame. While the specialized literature emphasizes the critical role of service quality in ensuring supply chain efficiency, few studies examine assessments based on real-world Second-party Audit in the transport sector. Thus, Second-party Audit, according to ISO 9001, have the role to verify external parties involved against established requirements, ensuring quality control in external relations. The research applies a methodology based on an audit grid to assess the operator’s performance on several dimensions of quality. The analysis compares expected service levels with perceived performance, as reported during an on-site assessment. Data were collected through observation, document analysis, and structured interviews. The key research questions address the extent to which the service provider meets contractual and operational standards and continuous improvement. These findings provide practical implications for both logistics service providers and the supply chain, particularly in terms of improving monitoring tools, communication protocols, and responsiveness to customer requirements. The paper contributes to this field by providing a concrete approach to assessing service quality in logistics.

Artificial intelligence in Romania’s labor market: structural challenges and strategic perspectives in the digital transition

2025-09-30T18:08:16+03:00

Artificial intelligence (AI) is driving profound transformations in the global labor market and organizational environments, accelerating automation and digitalization. While the overall impact is largely positive—through increased efficiency and the reduction of repetitive tasks—the digital transition in Romania faces significant challenges. This paper, based on a review of academic literature and recent statistical data, identifies four major obstacles: low digitalization levels and below-average digital skills compared to the EU, a shortage of IT specialists, the absence of coherent public policies, and a possible discrepancy between the business community's declared interest and current practices. Furthermore, the current organizational culture, characterized by limited openness to innovation and opaque decision-making, slows AI adoption. Drawing on the reviewed studies, the paper proposes strategic directions to accelerate digital transformation: promoting the importance of measures for effective adaptation, investing in education and continuous training, developing soft skills, and fostering collaboration between the public and private sectors. The findings highlight the need for an integrated approach in which education, public policy, and organizational culture are aligned to fully harness AI’s potential and close the gap with other European countries. Given the current limited state of research in the field and the limited number of available sources, the study results should be treated with caution and should be supported by further empirical studies that provide greater clarity on how artificial intelligence is implemented and managed in Romanian organizations.

The Student-Professor Relationship in the Context of Adopting Artificial Intelligence in Research Practices

2025-10-02T19:18:10+03:00

The integration of artificial intelligence (AI) in higher education has an impact on the writing of academic papers and on the student-supervisor relationship. Recent studies highlight the frequent use of AI tools, such as ChatGPT, as support in the academic writing process. The risks related to academic integrity, supervision practices and the need to find a balance between human guidance and technological assistance are presented. The current study tracks how students perceive and use AI tools, the extent to which they influence the interaction with the supervising professors, and opinions related to the advantages, risks and ways to responsibly integrate AI into academic work. The research aims to highlight how AI transforms traditional practices of supervision, feedback and maintaining academic integrity. The study is part of the literature on educational change management, focusing on innovation, regulation and training. The investigation was carried out by applying a structured questionnaire addressed to university students, undergraduate study programs, who are in the final phase of their diploma projects, students with technical and economic training. The questionnaire included seventeen questions regarding the use of AI, the relationship with the coordinating professors, opinions and suggestions of the students regarding the advantages and disadvantages of using AI in relation to traditional consultation.The results show that AI is appreciated for its speed, accessibility and support in developing autonomy, but students continue to consider coordinating professors indispensable for feedback, validation and critical thinking. Participants mentioned the importance of developing clear institutional regulations and introducing training programs dedicated to the responsible use of AI. The current research provides empirical evidence on students' perceptions of the role of AI in academic writing, highlighting both the advantages and disadvantages of its adoption.

A Systematic Review of Random Forest-Based Decision-Support Systems in Educational Management

2025-10-16T15:04:05+03:00

An increasing number of educational institutions are using predictive analytics to help with strategic decision-making and programs that help students succeed. This paper looks into the most recent improvements in using supervised learning models, specifically Random Forest classifiers, to keep an eye on behavioral trends in digital learning settings. We focus on studies that use structured data exported from Learning Management Systems (LMS), with a concentration on CSV-based processing procedures because they are easy to use and understand. The research brings together several uses of predictive logic in schools, looking at how well the algorithms work, how easy they are to use, and how they were designed. This review provides a theoretical basis for building smart, user-friendly educational tools that can adapt to students' activity profiles by establishing consistent modeling patterns and ways to make them understandable.

Digital Recruitment and Onboarding in Human Resource Management. Practices, Challenges, and Strategic Implications

2025-09-30T17:59:13+03:00

The fast digitalization of Human Resource Management (HRM) has changed recruitment and onboarding a lot. What used to be mostly paperwork is now a set of powerful tools that influence how candidates see a company, how fast they become productive, and even if they decide to stay long-term. In this paper, we look at both research and practical examples to show how technology, flexibility, and people-focused approaches are reshaping these processes. Digital platforms and AI tools help companies reach more candidates and reduce the time needed to hire. At the same time, they also bring up some tough questions about bias and fairness, which cannot be ignored. Onboarding today is more than just first-day introductions. It is about giving employees clear roles, support from managers, proper training, and access to mentorship. When done well, onboarding has a strong impact on early retention. The rise of hybrid and remote work has also made flexibility not just a “nice to have,” but something employees expect. This flexibility is closely connected to well-being, productivity, and engagement. In the end, the study argues that organizations need to balance the smart use of technology with empathy in process design. Fairness, inclusiveness, and flexibility should stay at the center of recruitment and onboarding. Looking ahead, future research should pay more attention to transparent and auditable AI systems, more personalized onboarding journeys, and long-term studies on how employees integrate and develop inside organizations.

Performance Evaluation of Medical Units from a Private Healthcare Network Using Multi-criteria Decision Making

2025-10-07T14:25:40+03:00

When determining the performance of medical units, it must be taken into consideration the optimization of resources and improvement of services that are offered to patients. This paper proposes an approach based on multiple-criteria decision analysis for the identification of the most performant medical unit from a private healthcare network in Romania. The study takes into consideration the conversion rate of patient visits from the hospital ambulatory into surgical interventions, considering factors such as the conversion rate for each doctor, the duration between the first visit and surgical intervention, types of medical specialities and the utilization rate of medical resources. Data comes from a clinic database, and it was processed and analyzed using a data visualisation tool. Multi-Criteria Decision Making (MCDM) was used for weighting criteria in order to correlate operational factors and clinic efficiency. The results highlight important variations between medical units, identifying medical practices which lead to the best performance in conversion rates of patients to surgical treatment. This research offers a solid decision-making framework for health managers, facilitating optimal allocation of resources and improvement operational flows. Also, the proposed methodology can be extended and applied in other fields of medical management for the evaluation of hospitals' performance. Conclusions suggest that using MCDM combined with advanced data analytics can have a significant impact on making strategic decisions with a positive outcome on the quality of patient care and overall efficiency of private medical systems.

ANNUAL Report and Sustainability Report: a Theoretical proposal for an Integrated Reporting

2025-10-06T17:48:33+03:00

The objective of the article is to propose a theorization regarding ethical reporting and the proposal – particularly relevant for listed companies – consists in reporting to investors and to stakeholders the ESG performances measured through an accounting model in which, on the one hand, sustainability reporting can acquire from the annual report the accounting information necessary for the drafting of its documents and, on the other hand, it is able to return the environmental, social and governance performances in the annual report, thus influencing the accounting results contained in the document.

The novelty of the model derives from the fact that in current documents and in those relating to the ethical reporting model (such as, for example, the social report, the environmental report, the sustainability report, etc.) the information flow from the annual report to the sustainability report is unidirectional (the directionality is from the annual report to the sustainability report). In other words, the accounting data included in the annual report has never been directly influenced by the information provided by non-financial reporting (or sustainability reporting): the only identifiable connection has been in the use of the sustainability reports of some quantitative data produced by the accounting records: the theoretical model therefore proposes a bidirectional connection between traditional accounting information and ethical information.

The topics of the paper are addressed to a heterogeneous audience of subjects made up of academic researchers, stakeholders and shareholders: for academic researchers the implications of the paper should serve to create a new theoretical model of connection between annual report and sustainability report disclosure; for stakeholders the model could provide greater transparency in financial reporting, which is particularly significant in companies listed on stock exchanges and for shareholders the proposal could provide a significant revaluation of the financial investments made.

Data-driven strategies for service efficiency and spare parts management in industrial moulding maintenance

2025-10-14T12:58:06+03:00

Objectives: This study analyzes the relationship between service productivity, spare parts sales, and corporate revenue in industrial plastics equipment maintenance using a real-world case study. The research quantifies the correlation between key performance indicators (KPIs) and a company's financial performance. It also investigates how quality management tools, like the Ishikawa diagram and FMEA, can identify and prioritize operational inefficiencies. The objective is to provide actionable strategies to improve resource allocation, optimize scheduling, and enhance service profitability.

Implication: The study shows that spare parts sales are the primary driver of service revenue (correlation 0.96) and engineer productivity is strongly linked to service revenue (correlation 0.88). The findings highlight a strategic misalignment where overall company growth is driven more by equipment sales than services. Using FMEA, the research identifies critical risks such as limited stock availability (RPN: 504), high employee turnover (RPN: 336), and long lead times (RPN: 336). These insights offer a clear pathway for companies to transform service divisions into strategic growth engines by addressing these inefficiencies.

Originality value: This research provides a unique contribution by integrating quantitative and qualitative data in a real-world case study. The paper combines historical financial data with structured quality management methodologies like the Ishikawa diagram and FMEA. This approach creates a replicable framework for diagnosing operational weaknesses and prioritizing corrective actions. By moving beyond simple correlation, the study identifies specific, high-risk failure modes and offers targeted recommendations, bridging the gap between academic theory and practical business strategy.

Digital Banking Systems: Revolut Case Study

2025-10-08T19:22:46+03:00

The banking industry, characterised throughout history by its reliance now has a customer demanding of more control and autonomy over their finances. Banks are now introducing more customer-friendly core banking solutions to boost customer satisfaction and win more loyal customers. Considering this, the banking system is changing, adopting digitalization in their activities and thus reshaping the banking industry. This paper analyses and highlights the digital banking industry and Revolut case study, better to understand the evolution and the applications of digital banking.

Optimizing Port Logistics Through Generative AI: Revolutionizing Efficiency and Resilience in the Maritime Industry

2025-09-30T17:48:24+03:00

The maritime industry faces growing challenges in optimizing port logistics due to increasing trade volumes, environmental regulations, and supply chain disruptions. This comprehensive literature review examines the transformative role of artificial intelligence (AI), with particular focus on generative AI, in enhancing efficiency and resilience in port operations. Through systematic analysis of 23 peer-reviewed studies published between 2021-2025, this review synthesizes advancements in real-time data integration, machine learning, digital twins, IoT, and autonomous systems that collectively improve operational decision-making, risk management, and environmental sustainability. Key findings reveal that machine learning applications achieve 90% effectiveness ratings in operational optimization, while predictive analytics demonstrates 89% effectiveness in risk management. The study identifies significant benefits including reduced vessel turnaround times (up to 45.8% reduction in carbon emissions), improved resource allocation through digital twins, and enhanced safety compliance (from 60% to 85%). However, implementation faces substantial challenges, with technical barriers representing 25% of obstacles, followed by cost considerations (22%) and organizational resistance (20%). The review outlines promising future research directions, emphasizing unexplored applications of generative AI in predictive maintenance and integration with emerging technologies like blockchain and quantum computing. This analysis provides valuable insights for researchers, industry stakeholders, and policymakers aiming to leverage AI for a more efficient, resilient, and sustainable maritime logistics ecosystem.

Practices for Producing Energy from Biogas in Landills: A Comparative Study between Companies in Italy and Romania

2025-09-24T19:32:34+03:00

The waste landfill sector contributes annually to climate change through its greenhouse gas emissions, particularly methane. To reduce emissions from this sector, an effective and sustainable solution is to use the biogas emitted by these landfills to produce energy. Due to its benefits and growing interest, the topic has been adopted in global literature but has received little attention in Romania. Thus, this article presents a comparative analysis of biogas utilization practices between Italy and Romania. The analysis aimed to study the practices adopted by companies operating landfills in the two countries, identify the main differences between them, and formulate recommendations for improving the practices of companies in Romania. The study highlights the fact that, at the current time, there are no functional systems in Romania that can use biogas from municipal solid waste landfills to produce energy. One of the reasons for this is the low efficiency of the waste management system, mainly due to the lack of an adequate selective collection and transport system, which affects sorting and recycling processes. The results highlight the need to increase ambition, study more efficient technologies and systems, and make the necessary investments in this sector. These will contribute to multiple benefits in the future, such as reducing greenhouse gas emissions and the overall impact on the environment, producing green energy that can successfully replace fossil fuels, with a positive economic and social impact.

Analysis of Value Added in the Sunflower Value Chain in the Republic of Moldova

2025-09-24T22:43:45+03:00

Sunflower is one of the most valuable oilseed crops in the Republic of Moldova, contributing significantly to the agricultural trade balance and farmers’ incomes. However, the structure of the value chain of this crop reflects a deep economic imbalance, in which a large part of the economic value is captured in the final segments of the chain – processing, packaging and export – while farmers are left with low profit margins. The analysis of the value added on each segment of the value chain – from primary agricultural production, collection, processing, to the export of the finished product – provides a clear picture of how economic benefits are distributed and highlights bottlenecks and potential areas for strategic intervention. In the context of a fragile rural economy and volatile markets, it is essential to identify opportunities through which Moldovan farmers can access higher value segments, whether through vertical cooperation, investments in micro-processing or integration into cooperatives. Methodologically, the assessment of added value involves calculating the difference between the sales value and the input costs for each stage, complemented by qualitative data on bargaining power, market access and managerial efficiency. Thus, the article aims to contribute to the development of economic and managerial solutions based on real data, with the aim of stimulating economic equity and competitiveness of the sunflower value chain in the Republic of Moldova, in an agricultural context in transition and with major structural challenges.

A bibliometric study on sustainable development in the clothing industry

2025-10-03T11:35:52+03:00

In the context of growing global concerns about the environmental impact of the clothing industry, sustainability has become a topic of major interest in the literature. The aim of this study was to explore and analyze the research development in the field of sustainable fashion. The methodology was based on a literature review and a bibliometric analysis of publications from the period 2015 - 2024 by extracting and analyzing data from the Dimensions database, identifying the most influential authors and journals, thematic trends, co-authorship analysis and citation analysis. By analyzing the distribution of publications over time, the evolution over the years of academic interest in sustainable fashion was observed, including topics such as circular economy and responsible consumption. The results of the study emphasize the need for an interdisciplinary approach to support the transition towards sustainable practices in the clothing industry. This study improves the understanding of sustainability mainstreaming in the sustainable fashion and provides new avenues for researchers in the field.

From linear to circular defense industry using disruptive technology and AI

2025-10-02T19:20:00+03:00

Due to sustainability requirements in Europe, the defense industry is under pressure to adopt a circular economy model instead of a linear one. This paper describes the Circular Defense Economy (CDE) platform, a modular, data-driven ecosystem designed to support circular practices across the entire Soldier Protection Equipment (SPE) value chain. By using emerging technologies such as AI-driven decision support systems, blockchain for life-cycle monitoring and bio-based materials and recycling technologies, the CDE supports the eco-design, reuse, repair, remanufacturing and recycling of high-value defense composites. The platform aligns with the objectives of the European Commission under the CEAP and the IF CEED initiative, providing replicable models for sustainability, innovation and cross-border cooperation.

Continuous development of STEAM skills based on collaborative interaction between stakeholders

2025-10-02T19:06:41+03:00

STEAM (Science, Technology, Engineering, the Arts, and Mathematics) education is becoming increasingly important in today's society, which demands interdisciplinary skills, creativity and adaptability to emerging technologies. The literature emphasises the role of innovative pedagogies (project-based learning, design thinking, gamification, etc.) and university-industry collaboration in aligning education to real market needs. In this paper, based on the results of the Erasmus+ Skills4Future project, we analyse the continuous development of STEAM competences through collaborative interaction between students, teachers, institutions and industrial partners. The mixed methodology involves comparing the pilot phase (academic year 2023-2024) with the adjusted phase (2024-2025) of integrated STEAM courses: quantitative (student satisfaction questionnaires) and qualitative (open feedback) data were collected. The main results indicate high levels of satisfaction in both phases and improvements in key indicators after adjustments. Quantitative data show the significant impact of the quality of didactic interaction and practical components on overall student satisfaction. The qualitative analysis emphasises the appreciation of applied activities and team collaboration, confirming the importance of anchoring learning in real contexts. The contribution of the study lies in highlighting a model of curriculum co-creation and systematic feedback that enables the continuous alignment of STEAM study programmes with market demands and sustainability priorities.

Energy recovery and economic viability of animal-derived waste air gasification for syngas production

2025-10-14T12:59:31+03:00

Animal-derived waste poses significant disposal and environmental challenges, yet its organic and mineral-rich composition offers opportunities for energy recovery through thermochemical valorization. Chicken bone waste (CBW), a byproduct of the poultry industry, was selected as a feedstock for conversion into energy. In this study, CBW was first processed via pyrolysis to produce a carbon-rich char, which was subsequently gasified with air at 700 °C in a lab-scale fixed-bed batch reactor to generate synthesis gas (syngas). The resulting syngas was rich in carbon monoxide (~43.5 % CO), carbon dioxide (~39.2 % CO₂), and moderate hydrogen fraction (~14.0% H₂). It exhibited a higher heating value (HHV) of approximately 25.87 MJ/kg, and the gasification achieved a cold-gas efficiency of ~54.6%, suggesting that over half of the feedstock’s energy content was recovered in gaseous form. Based on these results, a conceptual pilot-scale system was analyzed, comprising a 100 kg/h gasifier and a 15.36 kW_e syngas turbine for power generation. Under the stated assumptions, the techno-economic analysis demonstrated economic viability for syngas utilization as an energy source, with net present value (NPV) ≈ 28554 € and internal rate of return (IRR) ≈ 15.3%. Sensitivity analyses were performed to capture the impact of technical and market variability. Increasing the syngas LHV (8.98–11.67 MJ/Nm³) enhanced NPV linearly. Improving electric turbine efficiency (30-40 %) produced the strongest effect, increasing NPV to ≈ 58700 € and IRR to ≈ 21 %, while reducing discounted payback period (DPP) to ≈ 6 years. Electricity price variation (0.09–0.15 €/kWh) identified a break-even tariff of ≈ 0.106 €/kWh, above which profitability rapidly improved. Overall, air gasification of CBW-derived biochar was shown to efficiently produce high-quality syngas for power generation. This waste-to-energy pathway is energy-efficient and economically viable, illustrating a practical approach to circular economic goals through the valorization of animal-derived waste.

Reflecting the alignment of key administrative performance indicators with the UN's sustainable development goals in the public sector in the specialized literature

2025-09-16T22:24:25+03:00

Objectives: This paper examines how key performance indicators (KPIs) in public administration can be aligned with the Sustainable Development Goals (SDGs). It addresses a clear gap in research and practice by investigating the lack of integration between well-established models of performance measurement in the public sector and sustainability goals. Through a mixed-methods study, structured literature review, and bibliometric analysis, the study examines the current alignment between administrative KPIs and SDGs and identifies strategies for integrating sustainability goals into public sector performance management. It provides guidance to government agencies on aligning performance measurement with sustainable development goals.

Implications: The findings have important implications for both researchers and practitioners. For academia, the interdisciplinary mapping of the literature in this study provides a comprehensive basis for future research on the integration of performance management and sustainability, highlighting key thematic areas and gaps in knowledge. From a methodological perspective, the study demonstrates the value of combining bibliometric analysis with qualitative information to explore complex public management issues. For public sector managers and policymakers, the results underscore the need to integrate sustainability into core performance management practices.

Value of originality: The originality of this study lies in its integrated approach to a fragmented topic. It is one of the first studies to comprehensively examine the intersection of public sector performance management and the SDG agenda, addressing a clear gap in the research. By synthesizing dispersed literature streams and combining bibliometric mapping with qualitative analysis, the paper offers both new theoretical insights and practical guidance. This dual contribution is particularly valuable to the public management and sustainable development communities, as it provides evidence-based strategies for aligning key administrative performance indicators with global sustainability goals.

The Digitalisation Dilemma In Romania’s Challenges And Implications For Sustainable Development

2025-10-20T10:55:12+03:00

This article explores the main obstacles to digitalisation in Romania by analysing data and examining digitalisation transformation processes. Despite the number of ITC graduates, Romania lags in corporate digital integration. The study examines statistical data, the role of universities as providers of knowledge, and essential digital skills for sustainable development. Main indicators analysed are entrepreneurs' demand for ITC specialists, university graduate statistics, access to necessary software, and internet accessibility for consumers. The research highlights Romania's "digitalisation dilemma" and provides insights into the factors hindering progress in the digital sector. The objectives of this article are to identify and rank the key barriers to digitalisation in Romania, analyse statistical data on digital transformation, assess the role of universities, evaluate the necessary essential digital skills, and examine factors like education, software access, and internet availability that hinder corporate digital integration. The authors highlight Romania's digitalisation challenges and emphasize the need for policy reforms. The findings present the primary obstacles impeding Romania’s integration into the digital economy. This study aims to analyse and identify the key bottlenecks hindering digitalisation progress in Romania by utilizing the most recent and reliable sources. The authors systematically interpret the findings and establish correlations to generate well-founded insights, ensuring a comprehensive and meaningful contribution to the field.

The influence of cultural dimensions and generational differences on sustainable behavior in organizations - a systematic literature review

2025-10-14T19:01:57+03:00

Sustainable behavior in organizations has become a strategic priority amid global environmental challenges and the objectives of the UN’s sustainability agenda. Cultural dimensions, such as collectivism versus individualism, power distance, and long-term orientation, and generational cohorts are key influences on how organizations and employees engage with sustainability. While numerous studies explore these factors separately, their combined impact remains underexplored. This article addresses that gap by conducting a systematic literature review on how cultural values and generational differences jointly shape sustainable behavior in organizations. The review draws on peer-reviewed articles published between 2000 and 2025 in Web of Science and Scopus-indexed journals in the fields of business, management, and organizational studies. Selection criteria included empirical or theoretical studies linking at least one cultural dimension or generational aspect to sustainability-related organizational behaviors. The methodology followed PRISMA guidelines to ensure a transparent and replicable process. Findings indicate that cultural values significantly influence organizational sustainability outcomes. Cultures characterized by collectivism, egalitarianism, long-term orientation, and a concern for quality of life tend to promote environmental responsibility and social engagement. In contrast, highly hierarchical or materially driven cultures may require institutional reinforcement to adopt sustainable practices. At the same time, organizations with internal cultures that emphasize sustainability - through leadership support, employee involvement, and value alignment - report improved environmental performance. Generational differences further shape sustainability engagement. Millennials and Generation Z typically demonstrate stronger pro-environmental attitudes and expectations from employers, acting as change agents within organizations. However, the effect of generational differences is mediated by cultural context, making it essential to tailor sustainability strategies accordingly. This article contributes an integrative conceptual model and identifies research gaps, offering practical insights for managers to align sustainability initiatives with the cultural and generational profiles of their workforce.

Evaluating Financial Support Mechanisms in Higher Education through Performance Indicators and SDG Integration

2025-10-02T19:16:30+03:00

Objectives: As key players in sustainable development, higher education institutions (HEIs) must integrate the UN Sustainable Development Goals (SDGs) into all aspects of their work. This study examines the degree of SDG integration, identifying the predominant sustainability themes in the literature and uncovering gaps where integration remains limited. By applying bibliometric analysis to the sample and supplementing it with qualitative information, the paper highlights the progress and shortcomings of the process. The objective is to provide evidence-based guidance to help universities move from isolated sustainability initiatives to a comprehensive, institutional-level approach.

Implications: University leaders and faculty are encouraged to adopt a systemic, institutional-level approach to sustainability, integrating SDGs into policies, curricula, and operations. This ensures that students across all disciplines receive education in sustainability skills, preparing them as future agents of change. Policymakers and funding bodies can treat sustainability in higher education as a high-impact investment, supporting it through grants, incentives, and specific support policies. The findings guide researchers and practitioners in the field of sustainability, identifying under-explored areas and encouraging new methods and collaborations to promote the integration of SDGs into educational practice.

Value of originality: The originality of this study lies in mapping the sample on scientific data on the integration of sustainability in academia. Unlike previous work that focused on isolated cases or individual objectives, it synthesizes a wide range of recent literature to reveal system-level patterns and neglected areas. The key contribution is the identification of both dominant themes and critical gaps in how universities engage with all 17 SDGs. This information provides added value to sustainability researchers, higher education leaders, and policymakers by clarifying where efforts should be concentrated.

A Comparative Analysis of the Corporate Sustainability Reports of Local Companies in Romania and Companies of Turkish Origin within the Framework of Hofstede’s Cultural Dimensions Theory

2025-10-17T22:56:03+03:00

The Objectives: The fundamental elements of the EU Green Deal strategy consist of the transition to a circular economy along with climate action. In accelerating this transition process, “corporate sustainability reporting” plays a significant role. In this process, in which the EU has made such reporting mandatory for a larger number of companies, this study aims to compare local companies operating in Romania with companies of Turkish origin. This comparison seeks to analyze, through open-access reports of companies, with the support of artificial intelligence, within the framework of Hofstede’s Cultural Dimensions Theory.

Implication: This study presents important outcomes for policymakers, standard setters, companies, sustainability experts, NGOs, and practitioners in the field. In this context, the most fundamental contribution of the study is the inclusion into reporting of cultural contexts that are considered to be neglected, while the reports are prepared in the environmental, social, and governance dimensions. Accordingly, by contributing to the presentation of more consistent, comparable, and transparent sustainability disclosures among different countries, it may support the achievement of the EU’s sustainability objectives.

Originality Value: While steps are being taken through legislative facilitation and simplification (EU Omnibus Package) on the one hand, in order for ESG reporting to achieve its purpose and become widespread, on the other hand, the examination of reporting behaviors of companies in different countries for the sake of “establishing reporting standards” and the investigation of the differences that may emerge have arisen as a necessity. In this context, the study will evaluate the sustainability reporting of local companies operating in Romania and companies of Turkish origin, both within themselves and comparatively, within the framework of Hofstede’s Cultural Dimensions Theory. One of the most fundamental contributions of the study, through its comparative analysis, is its effort to demonstrate to what extent cultural differences, which are felt to be needed in ESGs, are reflected in corporate sustainability reporting.

The importance of Sustainable Supply Chain Management in Organizational Performance

2025-09-16T22:30:04+03:00

Sustainable supply chain practices offer businesses a competitive edge and foster long-term success. By incorporating sustainable supply chain management (SSCM) into their strategic framework, companies can simultaneously enhance performance while addressing social and environmental concerns. The ability to coordinate the outcomes of operations is vital for supply chains to meet new objectives, including social and environmental goals. KPIs (Key Performance Indicators) often represent a system of interrelated components, known as a "KPI system," which can serve as a quantitative tool to achieve key business objectives. However, subjective insights also play a critical role in the successful execution of a plan, alongside the quantitative tools. One significant challenge for manufacturing supply chain managers is identifying the "right" KPIs that align with their goals.

This study, the first of its kind, explores the relationship between SSCM and organizational performance (OP) in the manufacturing sector, considering the triple-bottom-line approach and the mediating role of competitive advantage. It contributes to the literature by providing empirical evidence on how SSCM impacts competitive advantage and organizational performance in manufacturing.

The research demonstrates that SSCM has a significant positive impact on both competitive advantage and organizational performance. Additionally, the statistical results confirm the connection between competitive advantage and organizational performance. Furthermore, competitive advantage is shown to indirectly influence the relationship between SSCM and organizational performance. The findings suggest that successful implementation of SSCM can enhance both competitive advantage and organizational performance

A comparative study of non-digital green skills among students in Bulgaria and Romania

2025-10-14T12:40:00+03:00

This study examines the interaction between green skills and key non-digital competencies – including learning autonomy, teamwork, communication skills, and problem-solving skills – among students from the University of Ruse “Angel Kanchev” (Bulgaria) and the National University of Science and Technology POLITEHNICA Bucharest (Romania). In the context of green transformation and technological change, understanding the preparation of the future workforce for sustainable professions becomes critical. The study measures students’ self-assessment of these competencies, compares the results between the two universities and identifies areas for development. The results provide valuable information for adapting curricula and policies to support the green economy, highlighting the need to integrate green skills with basic professional and social competencies.

Keywords: green skills, sustainable development, non-digital competencies, higher education, green transition

Biomethane from Municipal Waste: ACEA PINEROLESE Case Study and Financial Replication Model for Romania

2025-09-24T13:55:38+03:00

Based on the ACEA Pinerolese case study (Pinerolo, Italy), the research investigates the possibility of establishing a municipal biomethane hub in Romania. In order to generate technical-energy indicators and build a scenario-based financial model, the analysis includes operational and financial data for the year 2024, including biomethane 33 464 MWh, cogenerated electricity 18 938 MWh and treated wet waste 48 566 kt. The resulting energy intensity, which is used as a reference point in the scenarios for Romania, is approximately 0.69 MWh/tonne of derived organic waste, or 3.35 million Nm³/year (assuming a LHV » 10 kWh/Nm³). The scenario matrix fluctuates the biomethane price (70/90/110 €/MWh), the capital expenditure (8/12/20 million €) and the aggregate operational expenditure (6-10% of the capital expenditure). The results show a profitable area at price combinations ³ 90 €/MWh and capital expenditure £ 12 million € for a medium scale (50 kt/year) (e.g. ~5.6 years at 12 million € and 90 €/MWh; ~3.2 years at 8 million € and 90 €/MWh). The scale effect is visible, by diluting the fixed costs and using economies of scale in modernization/connection, the transition from 30 to 80 kt/year reduces the payback time of the investment from about 13.3 to 3.0 years. The following are best practices: pursuing dual sampling (grid injection + CNG/biomethane for captive fleets), securing feedstock through functional separate collection and impurity control, arranging grid connection in advance, adopting hub integration with heat recovery and transparent internal transfers. Future research will focus on explicit quantification of support systems, Monte Carlo sensitivity and LCA/ESG analysis. Limitations include the use of internal transfer prices as proxies, LHV-based conversions and a single year data set. Municipal projects become bankable at sizes larger than tens of kt/year when integrated design reduces operational expenses and predictability of average market prices.

Enhancing Employability through STEAM-Based Curriculum Innovation in Economic Sciences

2025-10-02T19:59:05+03:00

This paper addresses the outcomes of the Erasmus+ Capacity Building in Higher Education project “skills4future” (Project No. 101081787), entitled Developing and improving the STEAM skills of students and teachers for curriculum innovation and sustainable development of higher education institutions and local businesses. The project focuses on strengthening STEAM (Science, Technology, Engineering, Arts, Mathematics) competencies among students and academic staff in higher education institutions. The research emphasizes the integration of STEAM components into programs in the field of economic sciences, aiming to improve employability and better align curriculum content with the current demands of the labor market.

A review of recent literature highlights the growing importance of interdisciplinary skills in economic education, as well as the potential of STEAM-driven models to foster critical thinking, digital literacy, and adaptability. Methodologically, this study draws on a mixed approach combining structured questionnaires and qualitative feedback, collected in 2023–2024 from students, faculty, and employers engaged with the updated curriculum.

The findings indicate an increase in student confidence, problem-solving abilities, and readiness for real-world challenges. Employers reported enhanced graduate performance, particularly in areas related to analytical reasoning and teamwork. Additionally, institutional feedback underscores the value of international cooperation and curriculum modernization initiatives driven by the project.

This paper contributes to the field by offering a practical example of how STEAM-based curriculum reforms can drive innovation, strengthen university-business cooperation, and contribute to the sustainable development of higher education.

STEAM competences – an imperative in shaping modern entrepreneurs

2025-09-16T22:04:54+03:00

Abstract. The modern business environment is characterized by dynamism, uncertainty, constant acceleration, and the unpredictability. In this context, it is appropriate to reorient the educational process with an emphasis on developing STEAM competences and skills. In education, the STEAM approach is aimed at fostering interdisciplinary and applied skills by combining technical and creative disciplines. This prepares students to address real-world problems and situations, including those in entrepreneurship and business. The aim of this study is to analyse the perception of graduates from the Business and Administration program regarding the importance of developing STEAM competences. In this context, the research objectives are: to clarify the features of the modern business environment that necessitate a reorientation of educational programs; to highlight the main characteristics and benefits of STEAM competence development; to conduct empirical research among graduates of the Business and Administration study program; to substantiate conclusions and propose directions for improving the approach to entrepreneurial education.

The study analyses how students perceive the necessity of developing the relevant competences. Its findings can be applied in the development of university programs and in the revision of various courses and disciplines related to entrepreneurship. The recommendations may support the adaptation and updating of curricula, taking into account the perspectives of key stakeholders.

The main contribution of the article lies in proposing directions for improving entrepreneurship education in the context of today’s challenges. The relevance of the work stems from its analysis of evolving perspectives among graduates of the Academy of Economic Studies of Moldova over recent years, including the most recent responses from the 2025 cohort. The article is purposefully oriented toward the development of concrete measures aimed at increasing the adaptability of academic programs and, consequently, enhancing the satisfaction of the target audience.

Towards a Concept of the Business Idea Lifecycle:

2025-09-16T22:12:09+03:00

This paper presents a novel perspective on the business idea development, namely business idea lifecycle, which is of crucial importance for any start-up business venture, mainly in case of the new technology-based business ideas. A couple of practical instruments to be used during the business idea lifecycle to increase the probability to succeed are introduced.

Two arguments based on author’s own experience are provided to avoid terminology confusions. They stimulated both theoretical and applicative side – so that both secondary and primary research (literature survey) methods support this endeavour.

The abstract concept of the business idea lifecycle is not of theoretical importance only. Its practical implications can be measured in the concrete terms of less business failures. The same theoretical-practical balance is applicable to the proposed framework for discussing the business idea lifecycle, stages and maturity (on one side) and the practical instruments presented, applicable during business idea lifecycle (on the other side). The implications for the business community in general and for the startup ventures are virtually limitless, while further theoretical studies are possible as well. However, longer-term macroeconomic studies relative to business success rate are of remote perspective.

The Correlation between Maslow's Hierarchy of Needs and Business Success

2025-09-16T22:15:02+03:00

This study examines the relationship between the level of human needs addressed by a business (as defined by Maslow’s hierarchy) and its success metrics. Using a quantitative survey of 48 businesses, each firm’s primary customer need focus (ranging from basic physiological needs to self-actualization) was compared against performance indicators including average net profit margin, customer retention rate, and employee engagement score. The survey data were analyzed statistically (using correlation analysis) to assess associations between the need level and each business performance outcome. The analysis revealed a statistically significant inverse correlation between the Maslow need level targeted and key performance outcomes. Businesses centered on lower-level needs (physiological and safety) achieved significantly higher net profit margins and stronger employee engagement than those addressing higher-level needs. Customer retention also tended to be lower in higher-need-focused firms, though this trend was less pronounced. These results contradict initial hypotheses grounded in motivational theory that ventures fulfilling higher-tier needs would outperform others, indicating instead that firms catering to fundamental needs currently hold a performance advantage. Practical implications for business owners and managers are significant. The findings suggest that enterprises fulfilling basic human needs benefit from more stable demand and clearer value propositions, translating into stronger financial performance and a more engaged workforce. In contrast, businesses oriented toward higher-level needs do not automatically enjoy superior success and may face greater challenges in profitability and employee morale. Managers of such ventures should plan strategically to bridge this gap—ensuring core customer expectations and employees’ basic needs are met even when pursuing an aspirational mission. Overall, this study highlights the need to reconsider assumptions about Maslow’s hierarchy in business strategy and underscores that focusing on fundamental needs can be a more reliable driver of short-term business success.

Innovative Materials for a Decarbonized Future: Strategies for the Developing Regions

2025-10-09T10:26:40+03:00

In the pursuit of a low-carbon future, the construction industry faces urgent challenges and opportunities to mitigate its substantial CO₂ emissions. This paper examines innovative materials and strategies poised to redefine sustainable construction practices, with a focus on Brazil's unique socio-economic and environmental context. The study explores four key areas: cementitious materials, free-clinker cement alternatives, lignocellulosic fibers, and bamboo. Cementitious materials are highlighted for their potential to reduce carbon footprints through supplementary cementitious materials (SCMs), including industrial and agricultural by-products. Free-clinker alternatives, such as alkali-activated materials and CSA cements, offer transformative solutions leveraging Brazil’s abundant resources. Lignocellulosic fibers, from renewable sources like sisal, enhance material performance and support local economies, though durability challenges remain. Bamboo, with its exceptional mechanical properties and ecological benefits, stands out as a structural and non-structural material. The paper underscores the need for interdisciplinary collaboration and policy innovation to overcome technical barriers. By integrating global sustainability trends with local resource use, Brazil can lead in advancing low-carbon construction technologies.

The impact of the activities carried out within the SKILLS4FUTURE project on the satisfaction of the academic community within Cahul State University “Bogdan Petriceicu Hasdeu”

2025-09-28T21:42:20+03:00

Abstract. This paper explores the impact of the SKILLS4FUTURE project on the academic community in Cahul, focusing on student satisfaction and learning outcomes following the integration of theoretical and practical STEAM-based subjects. The growing demand for interdisciplinary and applied education has positioned STEAM (Science, Technology, Engineering, Arts and Mathematics) as a priority in higher education. Although the literature increasingly recognizes the benefits of STEAM in promoting critical thinking, creativity and employability, there is limited empirical evidence on its concrete effects on students’ academic experience in real institutional contexts. The study uses a quantitative, questionnaire-based methodology, targeting students who participated in newly introduced STEAM-oriented subjects as part of the SKILLS4FUTURE project, as well as teachers who modernized the content, and beyond. This paper contributes to current educational research by providing empirical insights into the effectiveness of integrating STEAM through structured academic projects. The findings highlight the importance of aligning pedagogical innovations with students’ existing skills and expectations. The conclusions can inform future curriculum design and policy development in universities, aiming to improve both theoretical understanding and practical skills required by the labor market.

Biomedical Entrepreneurship: From Research Laboratories to Global Markets

2025-10-16T14:32:28+03:00

Biomedical entrepreneurship represents a crucial intersection between scientific innovation, health technology, and global economic growth. Over the last two decades, the transformation of biomedical discoveries into viable commercial ventures has reshaped healthcare delivery and generated new drivers of international competitiveness. This paper explores the mechanisms through which research-based biomedical innovations evolve into globally scalable enterprises. The study employs a qualitative synthesis of peer-reviewed literature, global case studies, and innovation ecosystem data to identify the critical factors influencing this transition. Results reveal that successful biomedical entrepreneurship depends on three interlinked pillars: translational research capability, ecosystem support structures (including funding, incubators, and regulation), and integration into international markets. The paper contributes to the field of study by developing a conceptual framework - the Biomedical Entrepreneurship Globalization (BEG) Model - linking local research ecosystems with global commercialization outcomes. This framework underscores the way biomedical entrepreneurship not only accelerates technological progress but also strengthens public health resilience and global economic stability.

Financial aspects of experimental film development (INDIE) versus mainstream film

2025-09-27T23:35:43+03:00

This study examines the financial dynamics underlying the development of experimental (INDIE) films as compared to mainstream cinematic productions, within the conceptual framework of the “Technology–Entrepreneurship–Art” triad. Drawing on a comprehensive literature review, case studies, and qualitative analysis of industry data, the research elucidates the divergent funding models, production practices, and economic constraints that characterize these two paradigms. The findings demonstrate that experimental films operate predominantly within micro-budget regimes, leveraging alternative financing mechanisms such as grants, crowdfunding, and private investors, while prioritizing artistic autonomy and narrative innovation. Conversely, mainstream productions mobilize significant financial resources through institutional credit lines, international pre-sales, and risk-managed portfolios, in order to achieve large-scale distribution and maximize commercial returns. The study further highlights the transformative role of digital technologies in democratizing access to production and distribution, thereby lowering entry barriers for independent filmmakers while intensifying market competition. By juxtaposing the creative and economic logics of experimental and mainstream cinema, this research underscores their complementary roles in fostering both cultural diversity and industrial sustainability within contemporary film industries. Limitations of the present analysis and avenues for further research, including the implications of emerging technologies and expanding global markets, are also discussed.

The analogue filming techniques and technologies in experimental and avant-garde film and their impact on the film industry

2025-10-06T16:44:27+03:00

This study explores the analog cinematography techniques applied in experimental and avant-garde film, analyzing their impact on the aesthetic and technological development of the film industry. The study examines a range of classic photochemical processes - such as the fade, wipe, dissolve, and superimposition - as well as advanced techniques, including multiple exposure and split-screen composition. Understanding these techniques proves fundamental to preserving the cinematic heritage and fostering creative advances in contemporary film production.

The results of this analysis have significant implications for researchers, film historians, and professionals in the field of cinematography, demonstrating the continuity and relevance of analog aesthetics in today’s audiovisual landscape. The study also proposes an integration of traditional elements into modern productions, encouraging the diversification of cinematic language and the enrichment of artistic expression. By examining how innovative techniques from experimental film have shaped mainstream conventions, the paper contributes to a critical reevaluation of the role of the cinematic avant-garde in the evolution of contemporary visual narrative. This research creates a unique link between historical and contemporary perspectives on analog cinematography, highlighting its influence on modern digital filmmaking. Unlike previous studies, which focus exclusively on historical documentation, this paper examines the ongoing relevance of analog techniques in contemporary cinema. It also presents a comparative analysis of analog and digital effects, offering a fresh perspective on how traditional methods have been adapted to new technological contexts. The study makes an important contribution to film studies, industry practice, and artistic innovation, demonstrating how experimental film techniques continue to inspire and shape current cinematic expression.

Entrepreneurship Education as the key to unlocking the internationalization of Small and Medium-sized Enterprises in Romania

2025-10-02T11:05:02+03:00

This study explores how entrepreneurial training contributes to the global expansion capacity of Romanian Small and Medium Enterprises (SMEs), with a focus on the manufacturing sector. The research addresses how limited access to formal entrepreneurship training programs hinders international growth among SME owners, many of whom depend on experience-based learning. A qualitative methodology was employed, involving content analysis of annual reports and secondary data from literature focused on internationalization barriers. Findings suggest that formal entrepreneurship education significantly improves capabilities such as market analysis, risk assessment, and international strategy development – essential factors for competitiveness in global markets. The study highlights the need for an update in the curriculum of educational programs that should reflect the current status quo and challenges entrepreneurs face, with a focus on emerging economies. It contributes to the academic discourse by framing internationalization as both a strategic and educational process, and offers actionable insights for policy-makers, consultancy firms, and training institutions aiming to support SME international growth.

Standards and Best Practices in Disaster Recovery

2025-11-03T08:03:12+02:00

The digital landscape necessitates robust Disaster Recovery (DR) capabilities, driven by the need to maintain low Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets amidst escalating cyber threats. This paper addresses the critical transition from theoretical DR standards such as ISO 22301 and NIST SP 800-34 to practical, secure, and cost-effective operational solutions. While the literature provides extensive normative guidance, a gap persists in the unified implementation and performance validation of complementary open-source tools. The research employs an applied and comparative experimental methodology, testing the primary hypothesis that an integrated solution built on Red Hat Enterprise Linux (RHEL 9.5), leveraging Relax-and-Recover (ReaR) for Bare-Metal Recovery (BMR) and BorgBackup (BORG) for archiving, yields superior overall resilience. The system architecture utilizes an Ansible-automated multi-node environment, secured via SSH/GPG, to ensure consistent configuration and data protection. Main results confirm that the tools are strategically complementary: ReaR provides the predictable recovery path essential for a low RTO, while BORG achieves superior RPO and storage efficiency through block-level deduplication (over 85% efficiency recorded) and client-side authenticated encryption. The append-only mode configuration of BORG repository directly provides ransomware immutability. The paper's contribution lies in validating this integrated, open-source framework as a secure, measurable, and highly effective model for organizations seeking to achieve compliance and strengthen their operational resilience against catastrophic failure.

Enhancing critical infrastructure resilience through artificial intelligence: insights from energy and transportation sectors in Romania

2025-10-20T19:35:48+03:00

Critical infrastructure is essential for sustaining the functioning and well-being of the society, while also ensuring the continuity of economic activities and public services. Its resilience has become increasingly important in the face of technological, environmental and operational risks. Artificial intelligence (AI) is widely known as a powerful tool to strengthen resilience, offering predictive analytics, anomaly detection, automation and data-driven decision-making. The growing implementation of AI in different infrastructure sectors shows its potential to improve operational efficiency, safety and continuity of important services, while considering differences specific to each sector and potential barriers such as costs, data limitations, or the need for specific personnel. This paper explores the role of AI in enhancing the resilience of critical infrastructure in Romania, focusing on the energy and transportation sectors. The research is based on secondary data, using annual and sustainability reports of some major companies, as well as official information from their websites, to examine how AI is integrated into operational processes, safety systems, logistics management and risk monitoring. The results demonstrate that AI significantly improves resilience by enabling predictive maintenance, real-time risk detection, operational optimization and efficient use of the resources. In the energy sector, AI strengthens grid monitoring, fault prediction and service continuity, while in transportation it supports safety systems, fleet management and logistics, reducing risks for both passengers and goods. Although some challenges to AI adoption exist, Romanian companies are actively using AI, which shows its relevance and effectiveness in practice. This paper contributes to a better understanding of the application of AI in Romanian critical infrastructure by specifying how it supports sustainable development, improves safety and strengthens resilience. Additionally, it provides useful information that can assist managers and policymakers in making well-informed choices regarding the integration of AI into important services.

Design of an autonomous guardian robot for fire and hazard detection to enhance resilience and business continuity

2025-10-20T19:36:28+03:00

Fires remain a critical hazard with severe implications for safety, continuity of operations, and the protection of assets in both residential and commercial environments. Traditional detection systems, typically based on fixed sensors, provide limited coverage and cannot adapt to dynamic or obstructed spaces. This limitation has major consequences not only for individual safety but also for the continuity of essential services and the resilience of organizations and communities. Recent advances in mobile robotics highlight new opportunities for hazard detection and risk monitoring. However, most existing platforms are complex, costly, and primarily designed for industrial settings. This paper proposes the conceptual design of a compact, affordable, and autonomous mobile robot capable of detecting environmental hazards such as smoke, high temperature, toxic or flammable gases, and visible flames. The platform integrates multimodal sensing (LiDAR, gas/smoke sensors, temperature sensors, camera) with real-time data processing supported by a Raspberry Pi and STM32 microcontroller, while a dedicated web application provides instant alerts and situational awareness. The research adopts a design-oriented methodology, focusing on system modelling, component integration, and feasibility analysis through CAD simulations. Results indicate that the proposed robot can contribute to fire prevention, crisis management, and business continuity by enhancing early warning and enabling timely response. Although designed for small-scale environments such as homes and offices, its scalable architecture suggests potential applicability in critical infrastructure protection, where resilience and continuity of operations are essential. The contribution of this research lies in bridging robotics, embedded systems, and resilience studies, providing a framework that can support both academic research and practical innovation in disaster risk reduction and safety-critical systems.

The Electromagnetic Interference and the Computer Networks

2025-10-07T15:49:12+03:00

Abstract: The electromagnetic interference (EMI) between different devices in critical and non-critical environments (as household devices, industrial environments and especially for the medical sector) is one of the new challenges arising for design engineer, following the wide spread of advanced electronic systems and solutions. This phenomenon can compromise the operation of the computer devices. The main objective of this paper is to present the negative effects of electromagnetic disturbances from the power grids on the computer networks, as well as to briefly illustrate the necessity and advantages of using EMI filters to solve the problems related to the electromagnetic interference.

Keywords: Electromagnetic Interference, Electromagnetic Disturbances, Computer Networks, , Power Grids, Filters.

Leveraging artificial intelligence for error detection and resolution in data centers as critical infrastructure

2025-10-20T19:33:07+03:00

In a rapidly evolving digital landscape, data centers represent critical components of modern infrastructure, ensuring the continuity of essential digital services. As the volume and complexity of operations increase, the need for rapid and accurate error detection and resolution has become vital for maintaining resilience and reliability. This paper explores how Artificial Intelligence (AI) can enhance these processes, with a focus on custom-coded, Large Language Model (LLM)-based architectures specifically designed for data centers. Unlike standardized or no-code platforms, which offer ease of deployment but limited adaptability, customized AI solutions enable deeper integration with internal systems and domain-specific optimization. The research addresses the question of how AI-driven monitoring and predictive analytics can improve operational efficiency, fault management, and continuity in critical infrastructures. Through the design and experimental evaluation of the Dacosoft AI Monitoring Platform, the study demonstrates the capacity of LLM-powered modules to autonomously detect anomalies, anticipate failures, and recommend remediation actions. Results highlight measurable improvements in accuracy, response time, and scalability compared to conventional monitoring approaches. The findings confirm that intelligent automation based on LLMs strengthens the resilience of data centers by reducing downtime and supporting proactive incident management. Consequently, AI integration emerges not only as a technological advancement but also as a strategic necessity for organizations managing critical infrastructure

The importance of KPIs on Pharmaceutical Marketing Effectiveness

2025-11-03T08:10:18+02:00

In the pharmaceutical industry, the marketing team plays a crucial role in facilitating the exchange of scientific informationbetween the company and healthcare professionals, ensuring the correct and ethical dissemination of information about products, therapies, and clinical studies. The pharmaceutical industry is a national strategic economic partner and its performance is influenced by factors such as the level of innovation, the legislative framework, the marketing strategies adopted, and the efficiency of internal processes. The process of evaluating and improving performance is essential for maintaining the durability and sustainability of an organization, and its efficiency largely depends on the correct choice of performance indicators. Objective. The objective of this study is to analyze the importance of KPIs in evaluating the efficiency of marketing strategies from the perspective of pharmaceutical marketing teams. Methods,A survey was conducted among 68 participants from 30 pharmaceutical companies in Romania, collecting data on the performance indicators used in marketing and the marketing strategies that have the greatest impact on these indicators. Results. The results show the most used performance indicators are market share (22%), healthcare professionals (HCPs) engagement (18%) and company turnover (17%). Over 70% of the level of these indicators is achieved through marketing strategies involving face-to-face interaction with healthcare professionals, especially medical visits and organizing scientific conferences, while the remaining 30% is reached through digital marketing strategies. Conclusions. The study demonstrates the contribution of the performance indicators in pharmaceutical companies to the efficiency of the marketing strategies, as well as the necessity of effective interactions with healthcare professionals to achieve strategic markeing objectives.

Keywords: key performance indicators (KPIs), pharmaceutical industrial, marketing team, marketing strategies, healthcare professionals (HCPs)

Securing and Managing Communication Networks in the Telecommunications Industry with Containerized Applications Using Docker and Kubernetes

2025-10-20T09:27:48+03:00

In the telecommunications industry, maintaining secure and efficient communication networks is critical as the demand for reliable data transmission continues to escalate. This paper explores how containerized applications using Docker and Kubernetes can significantly enhance the security and management of telecom networks. Docker facilitates the creation of isolated, consistent application environments, while Kubernetes provides robust orchestration for automated deployment and scaling across diverse infrastructures. These technologies enable telecom operators to improve network isolation, streamline patch management, and integrate security directly into the development lifecycle, optimizing for both resilience and rapid response to threats. Additionally, the scalability and flexibility offered by Kubernetes allow for dynamic resource allocation and efficient handling of peak network loads. Through virtualized network functions, seamless 5G network management, and robust IoT device integration, containerization stands as a transformative approach to modernizing telecom infrastructure. This paper underscores the strategic advantages and potential challenges of adopting containerized solutions, guiding telecom providers towards a more secure, agile, and future-ready network architecture.

Theoretical findings on how job architecture contributes to IT delivery performance

2025-09-16T22:02:04+03:00

In the modern workplace, as tasks become more complex and organizations undergo constant change, job architecture has shifted from an administrative function to a strategic asset. Literature recognizes the significant role of organizational design, job crafting, and relational job design in fostering role clarity, driving employee motivation, and promoting adaptability in organizations. However, the influence of job architecture on technical delivery performance, especially within Agile and high-complexity settings, remains insufficiently explored. This study explores the question: “To what extent does job architecture contribute to technical delivery performance”? This research draws on literature and theoretical models from the past five decades, introduced in the literature review and integrated through a systematic synthesis. The findings from the conceptual synthesis suggest that flexible and integrative job architectures are, in theory, strongly associated with enhanced technical delivery outcomes. They enhance coordination, decision-making autonomy, and knowledge sharing across teams. Job architecture serves as an important enabler by fostering coordination, decision-making autonomy, and knowledge sharing across teams; it transcends traditional HR frameworks by serving as the underlying structure that drives Agile execution and supports organizational adaptability. This study positions job architecture as a key enabler of high-performance technical delivery; it further proposes a conceptual model synthesizing organizational design elements with Agile execution principles.