http://hdl.handle.net/10563/1000005 2026-07-31T14:03:02Z http://hdl.handle.net/10563/1012835 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 http://hdl.handle.net/10563/1012836 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 http://hdl.handle.net/10563/1012814 Environmental transparency: A catalyst for SMEs’ environmental disclosure and financial outcomes Afful, Charles Randy; Dvorský, Ján Environmental transparency enhances corporate competitiveness, as legal constraints and stakeholder demands have increased global interest in ethical business practices. This study examines 302 Ghanaian manufacturing small and medium-sized enterprises (SMEs) in an emerging market context. This study investigates the impact of environmental disclosure (ED) and corporate reputation on the financial performance (FP) of SMEs. We adopted a quantitative approach through hypothetical testing, using partial least squares structural equation modeling (PLS-SEM) and the purposive sampling technique. Our findings show that ED and business reputation (BR) influence the financial success of SMEs in emerging markets. Additionally, business strategies positively moderate BR and ED. The results indicate that ED practices can guide managerial policies through regulatory compliance in meeting United Nations Sustainable Development Goals targets and improve environmental transparency and reputation demanded by stakeholders. A strategic policy alignment with the firm’s ED framework influences SMEs’ environmental transparency, competitiveness, and FP, offering both theoretical and practical insights for SMEs. © 2026 International Council for Small Business. 2026-01-01T00:00:00Z http://hdl.handle.net/10563/1012815 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