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This study aims to investigate the relationship between Kosovo remittances, migration and labor force participation and seeks to uncover how migration and remittances, often considered separately, interact to shape labor market outcomes across gender, age and education groups.

To analyze the relationship between remittances, migration and labor force participation, this study leverages multivariate probit (mvprobit) to rectify the endogeneity issue intrinsic from remittances and migration. Utilizing this robust methodological approach allows us to circumvent the limitations traditionally associated with biprobit analysis. The research is grounded in empirical evidence from the Millennium Century Corporation survey in Kosovo.

The findings indicate that remittances and migration are pivotal determinants in shaping the contours of labor force participation, particularly influencing disparities across gender, age and educational attainment. Further, this study unearthed intriguing evidence suggesting the disincentivizing effect of remittances on labor force participation, alongside the potentially disruptive influence of prospective migration plans.

The novelty of this work lies not only in the context-specific insights it provides into the socio-economic fabric of Kosovo—an area that has hitherto received limited scholarly attention—but also in its methodological innovation. The simultaneous application of mvprobit technique provides a nuanced approach to tackle the inherent endogeneity issue, thereby pushing the methodological frontiers of the field.

This study aims to examine the integration of AI in student engagement and its benefits in the learning environment.

The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique.

The results show that facilitating conditions and performance expectations positively affect students’ attitudes toward AI, whereas the negative impact of perceived risk is statistically weak and only marginally significant at the 90% level. On the other hand, the main findings are that attitudes significantly influence the use of AI, which consequently increases students’ productivity, performance, and self-efficacy.

Through the integration of new variables in the TAM and UTAUT models, steps are suggested for institutions to take to increase the acceptance and efficiency of AI.

This study introduces a novel approach to AI integration within higher education, presenting an innovative model that significantly enhances the discourse on AI’s tangible impacts on educational processes.

This paper aims at identifying crucial factors that affect student satisfaction with synchronous e-learning. For this purpose, a research model comprised of perceived usefulness (PU), perceived ease of use (PEU), computer anxiety (CA), self-efficacy (SE), system accessibility (SA), perceived interaction (PI) and perceived flexibility (PF) was developed.

For the purpose of this research, an online questionnaire was used. All of the measures are adapted from previously validated instruments and adjusted to fit the research aim. Accordingly, the questionnaire resulted in 49 items, which yielded eight constructs. To test the hypothesized model, structural equation modeling was employed on a valid sample of 263 higher education students.

According to the results, PU, PI, CA and flexibility were all found to be significant. PU demonstrated the most contribution following by PF and PI.

Even though this study has included some critical factors theorized to influence e-learning settings, it does not incorporate all elements. In terms of sample size, a bigger sample would be more favorable. Lastly, the study took place during the COVID-19 pandemic, where free movement and social activities were restricted, which may have influenced students' perception of synchronous e-learning.

This research contributes to a greater understanding of the student experience with synchronous e-learning, and its findings can provide relevant stakeholders, particularly e-learning practitioners, with insights into effectively adopting and improving such settings.

This study uses an integrated model of several constructs to investigate student satisfaction in terms of just synchronous e-learning rather than e-learning in general. Several validated instruments were used and tested in a new context and sample. Additionally, the study provides evidence during COVID-19.

This study aims to assess e-working remotely from the perspective of online workers based on important theoretical aspects that have been found to have an impact in this regard. Specifically, the study examines the influence that work–life balance, job effectiveness, organizational trust and flexibility have on e-workers experience in terms of satisfaction.

For this research, the E-Work Life (EWL) scale, which consists of 17 questions and yields four critical dimensions, namely work–life balance, job effectiveness, organizational trust and flexibility, was adapted to measure remote e-working experience. Data were collected by sending the electronic questionnaire link to e-workers. In order to define the factorial structure and test whether the data fit the hypothesized measurement model, factor analysis was initially conducted on a sample of 230 e-workers. The relationship between EWL scale variables and e-worker experience was examined using order logit model.

This paper initially provides the validity and reliability of the EWL scale. Exploratory factor analysis optimally supported three factors and 13 items in contrast to the original scale. The influence that the remaining structure comprised of work–life balance, job effectiveness and flexibility has on e-worker experience was also measured. Results indicate that work–life balance and job effectiveness have a positive influence on e-workers satisfaction with online working, while flexibility does not show a positive association in this regard. Of the three variables, job effectiveness shows to be the most influential factor for e-worker satisfaction.

For the nature of this study, a larger sample size would have been more preferable. It must also be noted that the study took place in circumstances of the COVID-19 pandemic where social activities were limited, and this could have interfered with employees' emotions to some level and ultimately with their evaluation of e-work. It is suggested that further research be conducted.

Owing to the increasing occurrence of these working practices worldwide, particularly with the COVID-19 situation, this study, through its' findings, contributes to a broader knowledge on successful implementation of e-work environments. It helps individuals to comprehend crucial e-work-related issues and supports organizations to identify areas for improvement, so that effective strategies can be developed to increase productivity while supporting worker's well-being and satisfaction at the same time.

This paper addresses a previously identified need for further validation of the newly developed EWL scale in a different setting and with a new sample. At the same time, it adds to the understanding of the impact of important dimensions previously shown to affect e-worker satisfaction with online working.

This study aims to examine the impact of regulatory, normative and cultural cognitive institutions and firm and individual factors on entrepreneurial behavior.

Using the quantitative research method, the authors collected data from 316 micro, small and medium enterprises (MSMEs) in Kosovo, a transition economy, through a cross-sectional research design. The authors performed exploratory factor analyses, correlation and regression analyses on the data using SPSS 26 and STATA software.

The research findings indicate that, within transition economies, normative and cultural-cognitive institutions have a positive impact on entrepreneurial behaviors. The authors could not determine the effect of regulatory institutions on entrepreneurial behavior. The authors also discovered that young firms are more inclined toward entrepreneurial behavior than older firms, and micro firms display a stronger entrepreneurial behavior than small firms. Furthermore, family businesses showed a greater tendency for entrepreneurial behavior than nonfamily firms. Interestingly, when the rational decision-making interacts with regulatory institutions, the effect on entrepreneurial behavior is negative.

This study employed a cross-sectional approach to investigate the influence of macro, meso, and micro-level factors on entrepreneurial behavior within a transitioning community across three industries. Future studies could replicate these findings within comparable institutional contexts, employing longitudinal studies that include additional variables beyond those considered in our present study.

Considering the importance of MSMEs for a country’s economic and sustainable development, the authors provide some policy implications. The authors recommend managers carefully evaluate the information gathered while they decide and also increase their capabilities concerning digitalization, which is crucial for their firm’s survival, growth and sustainable competitive advantage.

This paper contributes to the literature and shows and analyses entrepreneurial behavior at institutional (macro), firm-level factors (meso) and managers' rational decision-making (micro), providing evidence from a transition community.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The authors of a study of e-workers in Kosovo during the COVID19 pandemic found that work-life balance and job effectiveness had a positive influence on e-workers satisfaction with online working, while flexibility did not show a positive association in this regard

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