Faculty of Economics
Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/9
Browse
34 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling the nexus between corporate social responsibility (CSR) and employee satisfaction: a comprehensive bibliometric analysis(Emerald Publishing, 2025-01-02); ; Purpose Researchers have tried analysing how the organizations’ practices of doing good can help improve their employees’ satisfaction over the past couple of decades. Employee satisfaction has a complicated relationship with a company’s corporate social responsibility (CSR) activities. Subsequently, the purpose of this paper is to conduct a bibliometric analysis and a literature review to trace the links between CSR and employee satisfaction, summarize and analyse the advances in this field, the knowledge gaps, publishing trends and further directions for future research. Design/methodology/approach The authors conducted a bibliometric analysis followed by a literature review of papers indexed in the Scopus database and published between 2000 and 2022. A total of 233 papers were identified, while 152 of them met the inclusion criteria for the analysis. Findings The subsequent analysis sheds light on the overlaps and connections between the two phenomena in human resource management (HRM). The authors outline potential avenues for future research and practical insight into how to leverage CSR activities for increasing work satisfaction. Originality/value By detailing the different ways CSR and employee satisfaction impact one another, analysing their relations and other supporting constructs, the authors contribute to the academic discourse by synthesizing prevailing literature and introducing practical guides for human resource (HR) professionals, managers and executives to manage turbulent surroundings more effectively, considering the major disruptions post-COVID-19 and the adoption of advanced technologies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Динамика на трудовата миграција и интеграција на работната сила во Северна Македонија: вештини, усогласување и правичност(Универзитет „Св. Кирил и Методиј“ во Скопје, Економски факултет - Скопје, 2026); ; ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Brain-Drain and Skill Mismatch: Can Higher and Vocational Education Bridge the Gap?(2025); ; ; ; Objectives: This study explores how migration dynamics can shape the ability of education and training systems to address skill shortages and labor market mismatches through a unique comparative study of findings from North Macedonia, Ethiopia, and Ukraine which are considered countries of origin for migrants. Specifically, it investigates whether Higher Education Institutions (HEIs) and Vocational Education and Training (VET) providers can produce graduates whose qualifications align with the evolving economic demands, and how these institutions adapt their curricula, foster collaboration with the industry, and cope with resource constraints to mitigate skill gaps which are notably pronounced by brain-drain. Data and Methods: Based on primary qualitative data from conducted interviews with HEIs and VETs, labor market intermediaries, and policy stakeholders, we employed a thematic content analysis to extract patterns regarding curriculum relevance, tracking of graduate employability, perceptions on the quality of education, and responsiveness to technological and structural labor market changes. Additionally, secondary data from statistical databases on migration flows and employment trends throughout the last decade contextualize the interview findings, thus providing a comparation between the four countries. Results: Findings show that a significant share of education institutions believe their qualifications meet the labor market needs, but systematic tracking of graduate outcomes remains a challenge. Interviewees acknowledge skill mismatches since curriculum updates struggle to keep pace with the rapid organizational and technological changes. As a significant contributor towards this is also the insufficient cooperation with businesses. While many institutions attempt to update programs through stakeholder consultation or national accreditation processes, financial constraints were highlighted to limit the required improvement. Furthermore, it is generally understood that brain-drain amplifies the national labor shortages, as graduates with relatively better skill and performance often emigrate for better opportunities. Policy measures such as targeted training programs, wage subsidies, and even active labor market interventions seem to be already employed but yield mixed results across countries. Interviewees emphasize the importance of practical internships, flexibility in learning, and modernized educational frameworks in mitigation of skill shortages and retention of domestic talent. Conclusions: The study highlights an urgent need for reinforced institutional collaboration and robust curriculum reforms that align with global standards. Strengthening public-private partnerships, greater integration of technology as well as enhancing international cooperation particularly through EU-led frameworks appears to be essential in mitigating brain-drain and ensuring that education and training systems in the four countries respond effectively to the labor market demands. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MACHINE LEARNING FOR STRATEGIC AND OPERATIONAL DECISION-MAKING: A BIBLIOMETRIC PERSPECTIVE(University of Zenica, Faculty of Economics, 2025-09-30); ; Serafimovska, IvonaBesides being a buzzword, machine learning finds new areas of application in organizational decision-making processes by the day. We map the field's intellectual structure, thematic evolution, and application domains through a bibliometric analysis of 1,803 Web of Science and Scopus articles (1990-2024) to elucidate its strategic and operational roles. Six clusters, spanning risk modeling, predictive analytics, strategic intelligence, and human-centered AI, are revealed by co-authorship, keyword co-occurrence, and bibliographic coupling. The findings reveal a fragmented but methodologically diverse landscape, with algorithm adoption differing by decision type and industry. By connecting machine learning methods (like deep learning, natural language processing, and explainable AI) with decision functions (like forecasting, optimization, and classification), we can identify the situations in which machine learning has the biggest influence. We go beyond descriptive enumeration with our integration of conceptual and practical insights. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, WHEN RATIONALITY INSPIRES AND FATIGUE PERSISTS: UNDERSTANDING DRIVERS OF ONLINE PURCHASE INTENTION(Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje, 2025-12-30); ; Using the Stimulus-Organism-Response (S-O-R) framework, this study investigates the effects of digital fatigue and digital rationality on online purchase intention. Although these forces have been frequently examined separately in prior research, little is known about how they interact to influence consumer decision-making in digital contexts. Direct and indirect effects were tested using mediation models on survey data from 259 members of Generation Z. The results show an unexpected asymmetry. Without influencing attitudes, digital fatigue directly increases purchase intention, suggesting that tiredness can influence consumers to make quick, closure-focused decisions. Contrarily, digital rationality only impacts intention through attitudes, demonstrating that logical assessments result in positive perceptions, which in turn influence more robust purchase intentions. By showing that attitudes mediate selectively based on the stimulus, these findings enhance the theory of consumer behavior. The study offers a more comprehensive understanding of digital decision-making by incorporating dual-process accounts and resource depletion perspectives into the Stimulus-Organism-Response framework. The necessity for interfaces that provide clear information to consumers who are rationally oriented while reducing friction for weary users is highlighted by the practical implications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Neuroscience Techniques in Human Resource Management - An Overview(Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, 2025-12); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Shaping the New Business Changemakers: Toward a Novel Taxonomy of Social Entrepreneurship Education(Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, 2025-12); ; Janeska-Iliev, AleksandraSocial entrepreneurship appears as a newer business model that, in addition to profit, aims to solve a social problem with the help of social innovation. As the number of social enterprises increases, so does the interest in acquiring knowledge, skills, and abilities to create a new social entrepreneur who is ready to respond to modern challenges. That is why the eyes are immediately focused on education and educational institutions that are tasked with laying the foundations of learning for social entrepreneurship. To date, the literature on social entrepreneurship education (SEE) is fragmented and without a clear systematic framework. To fill this research gap, the purpose of this paper is to synthesize and map the landscape of SEE and create a new taxonomy of the ecosystem. Namely, this is one of the first research endeavors to map the educational opportunities for learning social entrepreneurship. The research is aimed at examining key trends in SEE, key themes and concepts, their interrelationships, and impact on the social entrepreneurship ecosystem based on abstract mining of scholarly articles published in journals, which are indexed in the Scopus database. The results have implications for a multitude of stakeholders such as academia, managers and entrepreneurs, practitioners, and decision-makers. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Bibliometric Insight to Machine Learning Applications for Decision-Making(2025-12); Using a multi-method bibliometric analysis of published documents from Web of Science and Scopus in the last 34 years, this comprehensive study investigates how machine learning improves advanced decision-making while adhering to the PRISMA guidelines. This study's main goal is to make the methodological patterns, thematic directions, and intellectual structure of research at the nexus of machine learning and decision-making visible. The results show that the U.S., China, India, Germany, and the U.K. are leading a rapidly expanding, cooperative research landscape with a strong emphasis on management, marketing, and finance. Tree-based models, support vector machines, deep learning, reinforcement learning, and explainable artificial intelligence are examples of frequently used algorithms. The field is moving toward applications in big data environments, ethical considerations, and increased interpretability. Digital transformation, competitive intelligence, and strategic planning are highlighted in influential works. This synthesis offers direction for developing more transparent machine learning models and practical frameworks for their use in decision-making, serving both academics and practitioners. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Dynamics of Knowledge Growth in Business Intelligence and Analytics: A Bibliometric Investigation(2025-08); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Divided We Work: A Review on Political Polarization in Modern Business Organizations(Academy of Management, 2025-06-17); Research tackling political polarization in business organizations remains fragmented and relatively scarce. To understand the relevance of political polarization in businesses and manage the negative impact of political division on organizational operations, interpersonal relations, and organizational harmony, this investigation analyzed the literature surrounding the phenomenon of political polarization and its implications on business organizations, synthesized the findings in a framework, suggested strategies for mitigating this polarization in the work environment, and underscored pathways for future research using an integrative review approach. After a structured and rigorous thematic analysis of data from the databases Web of Science, Scopus, EBSCO, and JSTOR and adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, results point to a lack of coherent research streams and concise antecedents and outcomes, which are relevant for conflict management, as well as limited evidence on the effects of political division and limited study contexts. Future research may focus on specifying management-related research purposes, reexamining organizational constructs on individual, team, and unit levels, and extending investigations on performance-related themes