Faculty of Economics
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Item type:Publication, What drives successful sustainable technology transfer in emerging open innovation ecosystems(Faculty of Economics, University of Split, 2025-08); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, E-Commerce as a Revenue Generator for Small and Medium Companies in Developing Countries(Walter de Gruyter GmbH, 2022-12-01) - 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, Comparative Analysis of Skill Shortages, Skill Mismatches, and the Threats of Migration in Labor Markets: A Sectoral Approach in North Macedonia, Türkiye, Ethiopia, and Ukraine(MDPI AG, 2025-05-12); ; ; ; İmrol, Meryem HamsiLabor markets worldwide are increasingly strained by skill shortages, mismatches, and migration pressures, disrupting workforce stability and economic growth. This study conducts a comparative sectoral analysis in North Macedonia, Türkiye, Ethiopia, and Ukraine, focusing on the manufacturing, information and communication technology, and hospitality sectors, to examine the root causes and economic consequences of these challenges. Using a qualitatively driven mixed-methods approach, the research integrates expert interviews, surveys, and labor market data to assess skill gaps, workforce imbalances, and the role of migration. The findings reveal education–industry misalignment, inadequate vocational training, and low wages as persistent drivers of shortages. Additionally, the war in Ukraine, internal conflicts in Ethiopia, and refugee inflows in Türkiye amplify workforce instability, while North Macedonia faces severe emigration, particularly in the sectors of manufacturing and information and communication technologies. These insights are essential for policymakers, industry leaders, and educators in designing labor market interventions that foster workforce resilience. The study recommends national qualification reforms, industry–education collaboration, and improved wage structures to mitigate talent loss and strengthen labor market sustainability. By offering empirical evidence from diverse socio-economic contexts, this research contributes to global discussions on workforce development, migration economics, and labor policy reforms. - 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, 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, Explorers or Exploiters: A Multi-Technique Bibliometric Review of Individual Ambidexterity(Academy of Management Proceedings, 2025-06-17); ; Global and dynamic environments have pressured organizations into becoming more ambidextrous, resulting in a paradox for contemporary organizational sciences (Papachroni & Heracleous, 2020; Zhang et al., 2022). While employees are seen as a key driver of competitive advantage and high organizational performance, their ambidexterity, i.e. individual ambidexterity has remained in the margins of the research landscape (Nasution et al., 2024; Parmigiani & Howard-Grenville, 2011). This single-perspective research lens neglects the diverse experiences and characteristics of each individual and the ways they can influence the balance between exploration and exploitation as organization members. Recently, researchers have answered the call with several studies analyzing the antecedents and outcomes of individual ambidexterity as well as this concept’s interplay with other organizational phenomena (Schnellbächer et al., 2019). Still, as a growing research niche, which is critical for understanding modern workplaces, there is a lack of a comprehensive, bibliometric synthesis of the findings and an analysis of the gaps. To address this, our research provides a comprehensive, multi-technique bibliometric review of individual ambidexterity research, identifying key trends and underexplored areas in the field. Individual ambidexterity in the organizational context is gaining momentum as a crucial component of innovative behavior and performance, individual well-being, as well as team ambidexterity, firm performance, and organizational sustainable outcomes (Mu et al., 2022; Akbar et al., 2024). Considering the context of rising flexible and remote work arrangements and the growing accessibility and use of artificial intelligence, there has never been a more important time to investigate the genesis and core of employee ambidexterity. This environment underpins the need for lifelong learning, flexibility, reskilling, and upskilling for individuals to stay relevant in their roles, which challenges how we view this type of ambidexterity (Balzano et al., 2024). Essentially, it is conceptualized as the individual ability to simultaneously explore and exploit organizational resources, or, in other words, to perform contradictory activities by switching mindsets and action sets (Rogan & Mors, 2014), presenting a paradox for managers and decision-makers. Thus, our study aims to contribute by integrating the knowledge about individual ambidexterity and pointing out hotspots, influential scientific voices, and areas for further investigation using a multi-technique bibliometric approach, grounded in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Stemming from this, central to this research investigation are the following research questions: 1) What is the inherent intellectual structure of the individual ambidexterity body of research? 2) What are the most impactful hotspots and themes in the research landscape? 3) What is the potential of individual ambidexterity research and what literature gaps on the topic exist? - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measures of physical mixing evaluate the economic mobility of the typical individual(Elsevier BV, 2024-03)Stojkoski, ViktorMeasures of economic mobility represent aggregate values for how individual wealth changes over time. As such, these measures may not describe the feasibility of a typical individual to change their wealth. To address this limitation, we introduce mixing, a concept from statistical physics, as a relevant phenomenon for quantifying how individuals move across the wealth distribution. We display the relationship between mixing and mobility both theoretically and using data. By studying the properties of an established model of wealth dynamics, we show that some individuals can move across the distribution when wealth is a non-mixing observable. Only in the mixing case every individual is able to move across the whole wealth distribution. There is also a direct equivalence between measures of mixing and the magnitude of the standard measures of economic mobility, but the opposite is not true. We then describe an empirical method for estimating the mixing properties of wealth dynamics in practice. We use this method to present a pedagogical application using the USA longitudinal data. This, approach, even though limited in data availability, leads to results suggesting that wealth in the USA is either non-mixing or that it takes a very long time for the individuals to mix within the distribution. These results showcase how mixing can be used in tandem with measures of mobility for drawing conclusions about the extent of mobility across the whole distribution. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimating digital product trade through corporate revenue data(Nature Communications, 2024-06-19);