The arrival of the era of robots and autonomous machines is undisputable. It is anticipated that the future business environment will be characterized by a variety of intelligent systems and autonomous robots. In 2017, the International Federation of Robotics reported that momentum gained by robotic technologies is strong and that the sales volumes of both service and industrial robots is expected to grow. Building on this projection, the present study proposes a set of prerequisites or key determinants for the adoption of autonomous robots in the supply chain and logistics industry: technological context (i.e., relative advantage, complexity, and cost), organizational context (i.e., management support, financial support and employee competence) and environmental context (i.e., competitive pressure, customer pressure and vendor support). The study adapts a quantitative research design and uses an online survey to collect the needed data to test the conceptual framework and hypotheses proposed. Part of the study results confirms the association between the cost of digital technologies and the adoption of autonomous robots. However, the study found no evidence that the perceived relative advantage positively impacts supply chain and logistics firms’ adoption of autonomous robots. The study offers some managerial advices to supply chain mangers and marketers of the digital technologies and tools that can be applied in the supply chain setting.

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Supply chain management and integration have become more important business topics mainly addressed within the different businesses industries in order to influence the organizational performance. The current research study aims to investigate this effect by involving some key of supply chain partners on organizational performance. Also, the moderation role of trust as an influential aspect in the business was also studied in this work. To conduct this research and meet the stated research objective, a quantitative research method was used to collect data from food products manufacturers in Jordan due to the main contribution of this sector to the national economy of Jordan. PLS-SEM approach was selected in the phase of analysis and the findings revealed a significant effect of all hypothesized research assumptions and a significant moderating effect of trust on the relationship between supply chain partners’ integration and organizational performance. The research findings also provided expected implications and supported the relevant evidence and literature in this area, as well it would contribute to cover the existing research knowledge gaps by integrating a new model including sets of new variables that have not been examined together within a single conceptual framework.

The purpose of this study is to investigate the mediating role of operational flexibility between the quality of health information technology and management capability. A cross-sectional study was conducted; data was obtained based on 365 medical staff (medical doctors, nurses, and medical technologists) from public hospitals in the northern region of Jordan; a covenant sample was used. The authors used structural equation modeling to verify the hypotheses. The results reveal that the quality of health information technology has a significant impact on management capability and operational flexibility. Operational flexibility as a partial mediating variable also showed a significant impact on management capability. The study suggests that increasing the quality of health information technology will enhance the management capability and operational flexibility in healthcare organizations and will increase employee loyalty as a vehicle to trigger positive work-related attitudes. This study is one of the very limited studies in the Middle East that examined the role of operational flexibility in the quality of health information technology and employee management capability.

This study aims at investigating the effect of digital HRM practices on employee motivation and hence employee job performance, or in other words, the mediating role of employee motivation between digital HRM practices and employee job performance. Two digital HRM practices were used in this study: digital training and digital performance appraisal. Collecting data using a valid and reliable questionnaire from employees at industrial companies, the results show that digital training had significant effects on both employee motivation and job performance, digital performance appraisal had significant effects on employee motivation and performance appraisal, and employee motivation exerted a significant effect on job performance. Consequently, it was approved that employee motivation partially mediated the effect of digital HRM practices on job performance. It was concluded that skilled employees who are aware of their performance level are motivated to show higher levels of job performance. Theoretically, the study called scholars to carry out further results to examine the effects of other HRM practices on job performance through employee motivation. Empirically, organizations are requested to conduct training sessions and assess employee performance using digital means.