http://hdl.handle.net/10563/1000005 2026-09-02T00:54:14Z 2026-09-02T00:54:14Z Mercik, Aleksander Zaremba, Adam Demir, Ender http://hdl.handle.net/10563/1012836 2026-08-11T23:04:11Z 2026-01-01T00:00:00Z

Crypto factor zoo (.Zip) Mercik, Aleksander; Zaremba, Adam; Demir, Ender How many factors are genuinely needed to explain the cross-section of cryptocurrency returns? To answer this, we are the first to apply the alpha-based, iterative factor selection methodology of Swade et al. (2024), initially developed for equities, to the cryptocurrency market. Using a comprehensive set of 36 return-predictive factors, we find that just two to three factors can eliminate all significant portfolio alphas. The most influential factors include turnover volatility, bid–ask spreads, and blockchain-native metrics such as the new-address-to-price ratio. Liquidity-related variables dominate the selection process, appearing consistently across weighting schemes, model specifications, and periods.

2026-01-01T00:00:00Z Khan, Talat Mehmood Khan, Muhammad Awais Popesko, Boris http://hdl.handle.net/10563/1012835 2026-08-11T23:04:11Z 2026-01-01T00:00:00Z

The strategic role of Artificial Intelligence in attracting foreign institutional investors: A comparative analysis of new and old firms Khan, Talat Mehmood; Khan, Muhammad Awais; Popesko, Boris The rapid advancements in artificial intelligence (AI) and its deployment by firms are important factors in attracting investors. By using the data of A-share Chinese listed firms from 2016 to 2022, this study attempts to estimate the possible linkage of AI adoption by firms in appealing the Foreign Institutional Investors (Foreign II's). The study findings indicate the following: (1) AI is positively linked to Foreign II's. (2) The heterogeneity analysis shows that this linkage is stronger in new firms. (3) Firm performance significantly improves the relationship between AI and Foreign II's. (4) In contrast, firm age negatively influences this relationship. After employing several robustness tests, the study findings remain validated. Overall, we provide important insights and actionable references to support the strategic incorporation of AI into organizational operations, aiming to attract foreign investments.

2026-01-01T00:00:00Z Silberg, Slavka Stehlík, Luděk Sollár, Tomáš Silberg, Michal Matošková, Jana http://hdl.handle.net/10563/1012815 2026-05-11T23:04:34Z 2026-01-01T00:00:00Z

Relationships between personal characteristics, job satisfaction and organisational behaviour of work team members and the role of organisational agility maturity Silberg, Slavka; Stehlík, Luděk; Sollár, Tomáš; Silberg, Michal; Matošková, Jana Introduction & Purpose: The aim of this study is to analyse the relationships between professional personal competencies, organisational agility, job satisfaction, and organisational citizenship behaviour in work teams, as these factors can influence organisational performance and competitiveness. Methodology: The cross-sectional study included a sample of 25 teams (N = 135) from various economic sectors in Slovakia. We conducted multilevel correlation and regression analyses, factor analyses, and structural modelling. Results: The multilevel correlation analysis showed positive correlations with job satisfaction for all scales of the Bochum Inventory of Personality (ranging from 0.097 to 0.406), 10 of which were statistically significant. The results indicate that job competencies predict job satisfaction, and that job satisfaction correlates positively with employees' organisational citizenship behaviour. However, the moderating effect of organisational agility on the relationship between job competencies and job satisfaction could not be demonstrated. We found a statistically significant positive relationship between the maturity level of agility and job satisfaction. We discuss possible causes, highlight the limitations, and suggest implications. Conclusion: Appropriate professional skills and a people-centred approach are key to long-term success in a competitive environment and, along with organisational agility, can contribute to employee job satisfaction.

2026-01-01T00:00:00Z Blahová, Michaela Pálka, Přemysl Kim, Anh Dao Kwarteng, Michael Adu Ntsiful, Alex http://hdl.handle.net/10563/1012823 2026-07-09T22:07:17Z 2025-01-01T00:00:00Z

Mapping two decades of performance management and balanced scorecard research (2004-2024): Trends, gaps, and emerging directions; Dviejų dešimtmečių (2004-2024) veiklos valdymo ir subalansuotų rodiklių sistemos tyrimų apžvalga: tendencijos, trūkumai ir naujos kryptys Blahová, Michaela; Pálka, Přemysl; Kim, Anh Dao; Kwarteng, Michael Adu; Ntsiful, Alex This study conducts a comprehensive bibliometric analysis of 100 relevant research publications on performance management systems (PMS) and Balanced Scorecard (BSC) adoption from 2004 to 2024. While conducting the analysis, publication trends, influential authors, citations, and keywords are all taken into consideration in order to uncover the intellectual structure and development of the field. It is clear from the findings that the BSC continues to be an essential instrument for coordinating strategic goals with operational procedures. This is demonstrated by the fact that it is frequently mentioned and holds a central position in the research literature. Emerging topics such as sustainability, business intelligence, and technological integration are examples of how the focus on contemporary challenges is shifting along with the times. On the other hand, the study identifies research gaps, particularly in the areas of applications for the public sector and the incorporation of advanced digital tools.

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