The objective of this research was to identify the role of empowerment in enhancing Safeway Company's performance in Jordan using structural equation model (SEM). The authors used a predictive-descriptive strategy to determine Safeway Company's levels of empowerment. To evaluate the role of empowerment and performance, a questionnaire was designed and circulated. The data were examined using means, standard deviations, and multiple linear regression analyses. Empowerment and its dimensions from the Safeway company workers' viewpoint were ranked high in this survey. The performance level and its dimensions were also considered high from the Safeway company workers' perspective. Furthermore, the results suggest that both of the experienced groups showed significant differences regarding their empowerment's and performance perspective, meaning that employees with less than five years of job experience were more likely to perceive empowerment and performance, positively. In light of this result, the authors suggested the Safeway Company to increase and improve its performance to obtain customer satisfaction by encouraging employees to provide the company with feedback which improves the provided services to customers.

Although fog computing-based logistic supply chain management (Fog computing-based LSCM) is an emerging technology that proved a high impact on services and products, little research has focused on fog computing-based LSCM. Drawing on the Kano model and organization's theory this paper investigates the effect of fog computing-based LSCM on organizational agility. And the role of user satisfaction as mediator between fog computing-based LSCM and organizational agility. A quantitative approach was used, a questionnaire was designed for data collection, Cronbach's Alpha test was performed on a pilot study to examine the internal consistency of questionnaire items. Fog computing-based LSCM was studied based on Supply chain awareness, Connectivity and Logistics, Integration Process, Seamless Supply Chain, Integration of Processes. Data was collected from a random sample of 550 employees of Al-Hassan industrial city‎ in Jordan. Building on the proposed model, Researchers show that fog computing-based LSCM has a positive impact on organizational agility, fog computing-based LSCM has a positive impact on user satisfaction and finally user satisfaction mediates the relationship between fog computing-based LSCM and organizational agility. Implications for the model are discussed.