Mohammad Alnadi

Entrepreneurial human resources management can establish competitive advantages by consistently fostering superior human resources contributions within companies. This is achieved through the development of skilled employees who are passionate about delivering quality products and services. This study sets out to explore the role of entrepreneurial orientation for small and medium-sized enterprises (SMEs), particularly the relationship between entrepreneurial behavior and entrepreneurial human resource management. An online questionnaire technique was used to meet the research objectives. The study sample consisted of 356 participants from human resource management departments from 30 SMEs in the Al-Hassan Industrial Estate (HIE) in northern Jordan. The structural equation modeling (SEM) was used to examine the data. The results displayed that entrepreneurial behavior positively and significantly impacts both entrepreneurial human resources management and entrepreneurial orientation. Additionally, entrepreneurial orientation positively impacts entrepreneurial human resources management. Entrepreneurial orientation partially mediates the relationship between entrepreneurial behavior and entrepreneurial human resources management. According to these findings, human resources management policies and practices influence the level of entrepreneurship within an organization.

The study’s goal was to demonstrate the modifying role of supply chain agility in the impact of artificial intelligence applications on organizational excellence in Jordanian e-commerce companies. The analytical and descriptive approach was adopted. The study population consisted of 160 companies operating in the e-commerce sector in Jordan. The sample comprised 400 respondents working in senior and middle management positions. The questionnaire was utilized to collect the data. The results showed an impact of artificial intelligence applications in all dimensions (expert systems and neural networks) on the organizational excellence of e-commerce companies in Jordan. The value of the adjusted coefficient of determination (Adj. R2) was .265%. Based on the model’s F value (4.1190) and its level of significance (P; 0.00), the impact of these techniques on organizational excellence is statistically significant. Additionally, the results displayed an impact of supply chain agility on improving the impact of artificial intelligence applications on organizational excellence. The value of the degree of influence ß after introducing the modified variable supply chain agility and the value of R Square increased by .11 at the significance level (Sig). = 0.000. This study recommended training workers to stay up to date with developments in artificial intelligence, expert systems, and neural networks in their operations, control of searching for this evidence within databases, and knowledge representation.