Entrepreneurial endeavors are essential for stimulating economic growth and rendering them is a primary concern for policymakers. In recent years, smart city ecosystems have garnered attention for enhancing urban living and tackling contemporary difficulties. The contribution of smart cities in promoting entrepreneurship and improving well-being has received little attention. This study aims at examining the potential of smart city as an ecosystem to promote entrepreneurship and enhance well-being and quality of life (QoL). This study uses a Fuzzy evaluation model and the Analytic Hierarchy Process (AHP) to evaluate essential determinants of smart cities and their significance. Data from sources such as the Smart City Index, Ease of Doing Business Ranking, Global Innovation Index, Sustainable Development Report, and Technological Readiness Ranking are utilized with normalization, guaranteeing a dependable evaluation. The findings underscore the significance of open data efforts and transparent governance in recruiting innovative enterprises and promoting entrepreneurship. The study highlights the necessity of cooperative urban planning and public participation in decision-making. Moreover, the authors propose a new definition of smart cities from citizens’ well-being perspective. This research enhances the comprehension of smart cities’ influence on entrepreneurial endeavors, pinpointing problems and prospects for future investigations focused on improving well-being through smart city advancement.

Although entrepreneurial intentions have been widely studied, however, the relationship between intention and action is an understudied area, especially in the Middle East/North African (MENA) region. This paper investigates the antecedents of the intention-action relationships based on the doer, procrastinator, dreamer, and abstainer taxonomy of student entrepreneurs. In this paper, a sample (N = 12,947) from seven countries from the MENA region, and a multinomial logistic regression modelling. Findings show that university contextual factors play a significant role in the likelihood of students actively starting their own business, or just procrastinating and dreaming about it. More specifically, entrepreneurial-oriented learning programs reduce the probability of students completely abstaining from choosing entrepreneurship as a career. Past research primarily has utilized a singular intention framework (an “all-or-nothing” decision), without reflecting the stepwise commitment of the entrepreneurial process.

This study explores how Facebook and online media usage affect academic performance and communication styles among university students, focusing on the moderating roles of multitasking and student interest in university (SIU). Drawing on time displacement theory, it develops and empirically tests a conceptual model linking digital media engagement with academic outcomes, face-to-face communication (FTFC), and internet-based communication (IBC). The research is based on survey data from students at two leading universities in India and Russia. Using Covariance-Based Structural Equation Modeling (CBSEM), the study identifies significant gender differences and confirms that multitasking and SIU moderate several key relationships. By providing contextual insights from India and Russia, this study enriches cross-country discussions on the educational implications of social media usage. The findings inform theory and offer practical guidance for educators and policymakers in managing student engagement in digitally connected environments.

Purpose: The impact of the digital industry and firm digitization on innovation has become a significant focus in research. Prior studies have focused on how digital business strategies (DBS) affect value creation, financial performance and operational efficiency; however, fewer studies have been conducted to examine how these approaches affect product innovation and strategic competitive performance. This study aims to investigate the ways in which digital business strategies impact strategic competitive performance and product innovation. Design/methodology/approach: Employing the resource-based approach, the study investigates the fundamental processes by which these tactics produce these results. Data from 481 Chinese enterprises was acquired, and structural equation modeling was used for analysis. Findings: The findings indicate that a DBS positively influences knowledge digitization but does not significantly impact digital knowledge transfer management. Additionally, both knowledge digitization and digital knowledge transfer management (DKTM) are shown to positively affect strategic competitive performance and product innovation. Knowledge digitization mediates the relationship between DBS and both strategic competitive and product innovation performance. Furthermore, digital platform risk is found to dampen the effect of DBS on knowledge digitization. Originality/value: This study provides valuable insights into how DBS impacts strategic competitive performance and product innovation, mediated by Knowledge digitization and DKTM.