This study examines the determinants of university students' entrepreneurship intentions. The effects of eleven factors of entrepreneurial intention were investigated, including personality, social, and societal factors. A convenience sampling method and 350 self-administered questionnaires were used for data collection from four Sudanese universities, obtaining a usable response rate of 84.6%. Through Smart PLS, Structural Equation Modeling (SEM) was used for data analysis and relationship interpretation. The results showed that innovativeness and cultural valuation were positively and significantly associated with students' entrepreneurial intention. This suggests that the government and policymakers should encourage the development of entrepreneurship-fostering environments within universities. Future studies should increase the sample size to generalize the findings and validate new measures for the same study model, and explore a wider Sudanese entrepreneurial field scope.

This empirical study aims to elucidate the effects of logistics information technology (LIT), top management beliefs (TMBs), and suppliers' resources selection (SRS) on logistics performance. The extended resources-based view (ERBV) supports the development of the proposed relationships in the study model, based on previous studies measures. Structural equation modeling (SPSS and AMOS v 25) was utilized to test the validity of the model and proposed hypotheses. Based on responses from 229 surveyed companies in Sudan’s food and beverages sector, this study’ findings showed that the LIT, TMBs, and SRS influence logistic cost performance (LCP) and logistic delivery performance directly. Additionally, it showed that company size could moderate the relationship between LCP and LIT, TMBs, and SRS. This study provides several theoretical and practical implications by evaluating the ability of LIT, SRS, and TMBs to improve delivery and cost performance.

By integrating the technology acceptance model, the theory of planned behavior, and regulatory focus theory, this study assesses the mediating role of technology perception attributes (i.e., perceived ease of use and perceived usefulness) in the relationship between customer experience and the adoption of e-payment cards during the COVID-19 pandemic in Sudan. A questionnaire survey was conducted with 368 e-payment users in Khartoum and Southern Darfur, the two most highly populated states in Sudan. This study employed convenience sampling and quantitative methodology to clarify the relationship based on structural equation modeling. The empirical findings showed that the customer experience dimensions of cognition and emotion had a significant influence in e-payment adoption and technology perception. Further, they indicated that technology perception had a significant mediating role in the relationship between customer experience and e-payment adoption.