Decision making and management are synonyms. Banks are facing a number of business risks and operational risk is prevalent. Risk management is related to making decisions; therefore, it is important for the whole organization. The aim of...

Green investments help to create less harmful alternatives and adequate funds that contribute to economic growth, sustainable development, and social well-being. The paper aims to evaluate decision making on the choice of green investments based on multi-criteria decision making (MCDM). The applied methods are empirical and analytical based on the study of the literature, multi-criteria modeling, the determination of weights, and the ranking of criteria in deciding the green investment mapping of indicators, and mapping the indicators. The research used groups of indicators that reflect the main characteristics of green growth from the OECD database. The idea is to decide on the best green investment based on green growth criteria, which consist of grouped indicators according to the areas of the green economy rather than according to their values. The results of the Analytical Hierarchy Process (AHP method) showed that half of the investments in the green economy come from public sources (0.51) and the other half are private (0.25) and institutional investors (0.24), while the Best/Worst Method (BWM) revealed that the best criterion for the decision to invest in the green economy is the environmental and resource productivity of the economy, and the worst is the base of natural assets. This paper aims to enable decision-makers to use these results as weights for the overall assessment of green investments in ESG and to simplify the decision-making approach in future analyses.

The application of Newton's law of gravity in explaining international trade proved to be very successful. The popularity of a gravity model for explaining trade flows has been due to the fact that the calculations require affordable...

Consumer engagement is defined as a multidimensional concept in this study via the identification of members of a sports club social network and consumer identification with a sports club brand on social networks. Hence, the study focuses on sports clubs that engage with their customers through social media. The purpose of this paper is to provide a conceptual and theoretical understanding of consumer engagement, particularly among sports teams that employ interactive platforms to establish relationships with customers. Furthermore, in order to better comprehend the interaction between consumer and brand, this research approaches customer identification as consisted of two distinct constructs. Consumer identification with members of a sports club social network is separated from customer identification with a sports club brand. Research results point out that the consumer identification with members of the sports club’s social network and consumer identification with the sports club’s brand are positively related to consumer engagement. Furthermore, the value creation process is enhanced if the sport club approaches separately different dimensions of customer engagement in the social networks of the sports club.

This paper investigates the determinants of economic growth in EU member states that joined the Union in 2004 and later, focusing on institutional quality, competitiveness, and the green transition. Three composite indices are constructed using principal component analysis (PCA) and incorporated into a panel ARDL-PMG model, complemented by robustness checks with fixed-effects and system-GMM estimators. The results highlight competitiveness as the most robust driver of growth across specifications, while institutional quality emerges as an enabling factor, particularly under dynamic specifications that account for endogeneity. The green transition shows significant long-run benefits, although its short-run effects are weaker, reflecting the gradual payoff of environmental investments. Policy implications emphasize the importance of strengthening institutional frameworks, fostering innovation and productivity, and sustaining commitments to the green transition as pillars of sustainable convergence. The findings enrich the literature on EU integration and provide evidence-based insights for aligning cohesion policy and the European Green Deal with growth objectives.

In the present era where digitalization, FinTech, and blockchain technologies are reshaping the global financial landscape, traditional measures of bank performance need to evolve. This paper introduces a hybrid approach that combines multi-criteria efficiency assessment and econometric modeling to evaluate bank performance within the context of digital transformation in emerging economies. Focusing on a panel of banks across selected emerging markets, this study first applies a multi-criteria decision-making technique (Data Envelopment Analysis) to assess operational efficiency using both conventional indicators and digitalization-driven metrics, such as mobile banking penetration and blockchain adoption. We then employ a panel econometric model to investigate the factors that shape efficiency outcomes, with special attention to FinTech and blockchain innovations as potential drivers. The results reveal a nuanced picture of how digital technologies can influence bank performance, highlighting both opportunities and constraints for financial institutions in less developed markets. The findings offer actionable insights for bank managers, regulators, and policymakers striving to balance traditional operational priorities with the demands of digital transformation. By linking efficiency measurement with an examination of the digitalization process, this paper provides a timely contribution to the literature on banking and financial innovation, serving as a foundation for future research and strategic decision-making in the FinTech and blockchain era.