The preservation of business operations during and post the COVID-19 pandemic has emerged as a significant challenge for many enterprises. This research focuses on identifying the critical factors that influence the effective management of business continuity, based on lessons learned from the post-pandemic era. The primary objective of the investigation was to understand the impact of performance adaptability, innovation, talent preservation, and the implementation of a proactive, forward-thinking strategy on business continuity management. Furthermore, the study delves into the mediating role of strategic agility in these relationships. The study gathered data from personnel within the tourism sector of Jordan's prestigious Golden Triangle, which includes Petra, Wadi Rum, and Aqaba. The research utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) to analyze the structural model and to investigate the propositions outlined. The findings indicated that performance adaptability, innovation, talent preservation, strategic agility, and a proactive strategy positively impact business continuity management. Moreover, strategic agility was found to moderate the relationship between performance adaptability, innovation, talent preservation, and a proactive strategy, thereby enhancing business continuity management. These research outcomes offer insightful implications for managerial personnel within hotels and tourism companies, acting as a comprehensive guide for improving their business continuity management in the post-pandemic world.

The objective of the study is to identify the impact of big data on sustainable supply chain management. The current research was conducted on hypermarkets in Jordan. Many of these hypermarket brands are widely scattered in Jordan, for instance, Carrefour, Kareem, Safeway and more. Accordingly, the target population in the current research was hypermarkets managers in Jordan as they are responsible for formulating such strategies in the companies they work for. A convenience sample was selected from the target population that included 770 managers based on the sample size formula. The study hypotheses were tested by covariance based structural equation modeling (CB-SEM). The study results showed the impact of each big data dimension on sustainable supply chain management. Based on this result, the researchers recommend the hypermarkets in Jordan to use modern and diverse methods for accurate collection of reliable data and save it in organized ways, and to employ advanced programs to analyze it and extract information of high value.

The present study examined the perception of users towards the role of artificial intelligence (AI) in improving personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE). Additionally, the impact of PLP, PLN and PLE on perceived ease of use, perceived effectiveness and perceived usefulness in improving the general attitude and satisfaction of users in their intention to use project management was examined. Results showed the impact of PLE on perceived ease of use and perceived usefulness, significant impact of PLP on perceived effectiveness, and impact of student pressure on intention to use project management. Data were obtained from professionals and students with experience in the use of project management modules. Notably, the obtained data were fully based on the perceptions of the respondents, resulting in potential self-perception bias. Perceptions of users towards PLP, PLN and PLE were integrated into the technology acceptance model framework of this study, to understand their impact on the general attitude and satisfaction of learners. Using AI can enhance learner attitude and satisfaction while creating more engaging e-learning, proving the crucial role of AI in forming the right environment through learner profile match.