The changes in the business environment and the increase in competition have led organizations to focus greatly on improving their organizational performance in order to achieve a sustainable competitive advantage by relying on keeping pace with these changes and developing their innovation capability to meet their customers’ desires. Therefore, this research paper aims to explore the relationship between strategic agility and organizational performance through the mediating role of innovation capability. The research population consisted of senior managers in industrial corporations, and the sample comprised 224 senior managers. Structural equation modeling (SEM) was used as a statistical method for testing hypotheses. The results showed that there is a significant influence of strategic agility on organizational performance and innovation capability. Furthermore, innovation capability plays a mediating role in improving the relationship between strategic agility and organizational performance. Accordingly, a set of recommendations are provided to corporations’ senior managers for supporting the organizational activities that lead to the creation of new products and services that are appropriate to the general context of the development of customer desires, realizing the importance of the corporation acquiring flexible re-sources that can be reallocated to meet the changes in the business environment, and adopting modern business models based on stimulating collaborative work and adopting creative ideas.

Introduction: The Internet of Vehicles (IoV) was enabled through innovative developments featuring advanced automotive networking and communication to fulfill the need for real-time applications that are latency-sensitive, such as autonomous driving and emergency management. Given that the servers were much farther away from the actual site of operation, traditional cloud computing faced huge delays in processing. Mobile Edge Computing (MEC) resolved this challenge by enabling localized data processing, reducing latency and enhancing resource utilization.Methods: This study proposed an Efficient Mobile Edge Computing-based Internet of Vehicles Task Offloading Framework (EMEC-IoVTOF). The framework integrated deep reinforcement learning (DRL) to optimize task offloading decisions, focusing on minimizing latency and energy consumption while accounting for bandwidth and computational constraints. Offloading costs were calculated using mathematical modeling and further optimized through Particle Swarm Optimization (PSO). An adaptive inertia weight mechanism was implemented to avoid local optimization and enhance task allocation decisions.Result: The proposed framework was thus proved effective for any latency reduction and energy consumption optimization in efficiently improving the overall system performance. DRL and MEC together facilitate scalability in task distribution by ensuring robust performance in dynamic vehicular environments. Integration with PSO further enhances the decision-making process and makes the system highly adaptable to dynamic task demands and network conditions.Discussion:The findings highlighted the potential of EMEC-IoVTOF to address key challenges in IoV systems, including latency, energy efficiency, and bandwidth utilization. Future research could explore real-world deployment and adaptability to complex vehicular scenarios, further validating its scalability and reliability.

This research aims to investigate whether outsourcing mediates the impact of dynamic strategic capabilities on strategic entrepreneurship. The population of the research consists of top managers in five stars hotels. A sample of 215 respondents were selected for the research in which 186 questionnaires were valid for statistical analysis. Structural equation modelling (SEM) was used to test the hypotheses of the research. The results of the research indicate that outsourcing does not mediate the relationship between dynamic strategic capabilities and strategic entrepreneurship. All the dimensions of dynamic strategic capabilities have a statistical impact on strategic entrepreneurship, while the dynamic strategic capabilities dimension all affect outsourcing except the seizing capability. Based on the research results, managers and decision-makers have to focus on innovation functions by enhancing the role of knowledge management and R&D activities, as well as concentrate on employees training programs.

IntroductionThis research aims to explore the effectiveness and inclusivity of AI-powered recruitment tools in hiring people with disabilities within the United Arab Emirates. Such is the situation where AI integration into the arena of recruitment is increasingly rapid, while there are vital issues on the side of bias, accessibility, and fairness for applicants of diverse needs. MethodsThis study was a mixed-methods approach, examining sentiment analysis, emotion detection, and HR analytics of feedback from applicants with a disability, 415 in total. The research focused on scores referring to sentiment, the progression rate, and the outcome of the final hiring. ResultsThe sentiment score varied significantly across disability types (p-value 0.05), hence never indicating any significant difference within the initial steps of the process. The final hiring stage showed significant differences in results with (p-value <0.05), where the proportionate number of disabled applicants was recorded to be lower than that of non-disabled applicants