Conflict management is one of the major skill that has a significant influence on the tasks employee have to perform daily bases. Conflict is unavoidable in daily routine of the organizations. Its importance is increased in the developing countries like Georgia as external factors make people to work in more unpredictable situations. This article is based on the research conducted in Georgia, shows main challenges, trends and understanding of conflict management, shows results and offers recommendations how to make employees more productive by managing it effectively. Objectives: This study aimed to evaluate main challenges of conflict management, its impact on employee and organization productivity in Georgia, make conclusions and give recommendations to managers and employees how to deal with the conflict situations and improve constructive outcomes. Other factors influencing productivity connected to conflict management were also investigated. Results: Results has shown that conflict management understanding is quite low in Georgian organizations, as well as the constructive and destructive outcomes of it. Reasons of conflict is mainly improper distribution of functions and duties. Employees prefer to use collaborating style for conflict resolution.

Background: In contemporary economies the migrant workforce is increasing around the world and represents a challenge both for domestic economies, companies and economic flows. The emergence of the European labor market highlighted a major lack of a qualified workforce and a rapid spread of migrant workers especially in the labor intensive economic sectors. In this perceptive, by striving to attract foreign workers with unique and complementary skills, knowledge, and ideas to the workplace, managers encounter many obstacles. Purpose: The purpose of this paper is to identify challenges managers in European companies face in the process of attracting and managing migrant workers. In this article, we analyze the impact of the migrant workforce on the internal labor market transformations and identifying the main managerial challenges for the European companies and management during the attracting, mobilizing and managing the migrant workers in economic system. Study design/methodology/approach: The authors evaluate both the existent assumptions in literature and conduct a systematic review of the managerial approaches in the field. A quantitative approach was employed. The data that contains responses from 1,127 managers from ten European countries, five EU and five non-EU member states, was collected between August 2021 and April 2022. Findings/conclusions: The main study results reveal that the most common obstacles and challenges that managers face occur in the process of recruitment, socialization and integration, training and development, workplace operations, and innovation. The study recommends a permanent focus of company management on these issues. It also lays the foundations for a theoretical framework that provides a better understanding of the significance of creating efficient and specific management policies for foreign workers based on employee diversity. Limitations/future research: The present study is limited in scope as the sample only includes managers from ten countries. Each research question can represent a broad enough basis for independent research, so this work opens up the possibility for numerous researches that can be treated as a continuation and expansion of the existing work.

The rapid emergence of generative artificial intelligence (GAI) is reshaping academic work in higher education. While classical technology acceptance models primarily emphasize cognitive and instrumental determinants, the adoption of GAI also raises ethical concerns related to trust in AI systems and the protection of personal and institutional data. To address this gap, this study examines the determinants of GAI acceptance and use among academic staff in Slovenian higher education institutions by applying a UTAUT-based model that integrates trust and privacy. In this study, GAI is conceptualized as a class of text-based generative AI tools commonly used in academic practice, including applications such as ChatGPT, Copilot, Scholar AI, Gemini, Consensus, and similar systems. A quantitative research design was employed, based on a structured online survey administered to academic staff across 20 higher education institutions in Slovenia (n = 201). Data were analyzed using multilevel confirmatory factor analysis and generalized estimating equations. The results indicate that performance expectancy and attitude toward using significantly predict behavioral intention to use GAI (B = 0.49, p < 0.001 for both), while behavioral intention is the primary predictor of actual use behavior (B = 0.93, p < 0.001). Effort expectancy is positively associated with use behavior independent of behavioral intention (B = 0.23, p = 0.012), whereas trust does not show a statistically significant association with use behavior (B = 0.05, p = 0.458) or behavioral intention (B = −0.01, p = 0.840). Privacy exhibits a positive, but non-statistically significant, association with use behavior (B = 0.12, p = 0.058). The findings highlight the relevance of considering both cognitive and ethical factors when examining generative AI adoption in academic contexts and provide initial empirical insights for refining UTAUT-based frameworks in the context of emerging AI technologies.

Introduction. Over the past decade, as technology coupled with the increasingly frequent use of the internet have become the forefront of business and academia, e-learning has emerged on the global higher education stage as a leading means of gaining an education in Higher Education. Because internet-based learning is currently such a relevant topic, inter alia due to the occurrence of the pandemic, there is a dire need for the creation of a common language to proceed in a collectively positive direction regarding the development of a culture of excellence within e-learning. This paper provides a springboard to discuss the underlying issues and challenges related to quality of internet-based learning, including the need for right measuring, and understanding dimensions of e-learning quality. Aim and tasks. The quality of education needs to be addressed (measured and managed) comprehensively, which means that, in addition to pedagogical aspects, it is also necessary to address the market quality. Therefore, a distinction must be made between quality that meets specifications (standard quality) and quality that meets expectations. Therefore, the main aim of the article is to review the different definitions of quality in e-learning and the dimensions that must be included in measuring the quality of e-learning. Results. Based on an extensive review of the literature on quality in e-learning, we conclude that the quality of e-learning cannot be viewed only from the student's perspective, but from the point of view of all participants in the e-learning process. In addition to pedagogical aspects, organizational, economic, and legal aspects must also be considered. What dimensions are key to measuring quality in e-learning thus remains a question to be answered. Conclusions. The quality of e-learning depends on many factors. Despite many discussions about quality and the search for appropriate dimensions of quality in e-learning, there is still no single evaluative standard. Because of this, effective qualitative metrics for e-learning are urgently required.

This paper presents the results of research conducted to identify the factors that influence the decisions of company management to outsource accounting services. A transaction cost economics (TCE) model was used to analyse factors that influence high levels of outsourcing of accounting tasks in the case of Montenegro, where, based on our sample, 75.4% of companies enter outsourcing arrangements with bookkeeping agencies or with external accountants. With an adaptation of International Accounting Standards (IAS) and legal requirements for submission of standardised year-end reports, there is evident growth of bookkeeping and financial service providers on the market and an evident trend of companies entering accounting service outsourcing with those agencies. A survey was developed to investigate 12 variables that, according to the TCE model, influence outsourcing decisions. The selection of variables was based on previous research in the field using the TCE or Resource-Based View model (the most common models used for this analysis). In contrast, new variables were introduced that measure the effects of the introduction of IAS through legal reporting obligations in Montenegro. By developing the model this way, it became possible to predict 47% of the variance of the dependent variable and to identify the main factors (other than price) that influence the decision of managers to outsource accounting services.

The notion of ‘students as customers’ continues to be prominent, yet is insufficiently explored, especially from the standpoint of various stakeholders. To address this inadequacy, the present study employs a multigroup analysis of the service profit chain (SPC) model in higher education (HE). Its purpose is to examine the complete SPC model regarding stakeholder perceptions in order to inform its validation and implementation. A cross-sectional survey was employed in order to enable multigroup comparison of a comprehensive research model on subsamples of employees and students by means of structural equation modeling (SEM). Results provide support for the proposed SPC model within the sample of vocational colleges. Besides strongly linked constructs (quality–satisfaction–loyalty), some notable weaknesses (cracked ‘satisfaction mirror’) are found. Multigroup analysis also indicates some important differences between employees and students. Implications are provided for strategic service management in HE, which should acknowledge the differences among stakeholder perceptions.