This study aimed to test the impact of digital supply chains on lean manufacturing, the digital supply chain was a multidimensional measurement composed of seven dimensions: Digital performance management, digital information technology and digital manufacturing, digital human resources, digital suppliers, digital logistics and inventory and digital clients. The electronic industries companies were targeted to represent the research population and collect the primary necessary data. According to the research budget and time constraints, a convenience sampling method was implemented in the data collection process. Structural equation modeling (SEM) was applied to test the research hypotheses through AMOS software. The results indicated that most of the digital supply chain dimensions had a positive impact on lean manufacturing, except digital suppliers and digital clients, which had no effect on lean manufacturing. Findings from this research help organizational managers make multiple decisions related to investing and allocating resources to increase profit and reduce expenses along digital supply chains.

This study comes to ascertain the impact of digitalism on supply chain flexibility. A sample consisting of 350 employees was selected from manufacturing companies in the food industry to collect research data. One inclusion criterion was assumed in this research, which is employee knowledge of supply chain processes. Research data was gathered using a questionnaire distributed to the members of the sample. The final number of the questionnaires was 297 with a response rate of 85%. Analyzing data via SmartPLS 3.0, the results indicated that Internet of things (IOT) had a significant effect on supply chain flexibility. Such results confirmed that one dimension of digitalism, which is the Internet of things, has a significant effect on supply chain flexibility.

The aim of this research is to examine the impact of supply chain management through social media on competitiveness of the private hospitals in Jordan. The population of the study includes managers in various administrative disciplines. Therefore, the complete census method was used in this research to collect the primary data, where the total responses were 438 responses were used for analysis. The questionnaire was used as a basic instrument in the current research, as it was designed electronically through Google Forms and sent to the research sample via email. AMOS software was used to test the research hypotheses. The results showed that all dimensions of supply chain management through social media had a positive impact on competitiveness; the greatest effect was for strategic relations with suppliers. Based on the study results; managers at the examined companies should enhance their usage of social media with suppliers, according to the report, in order to support strategic connections with them.

The aim of the study is to examine the impact of online consumer reviews on purchasing intention through product mental image. The primary sources represented by the instrument were distributed to the study population consisting of consumers of cosmetics in Jordan. Recently, the phenomenon of selling cosmetics through Internet websites and social media platforms has spread widely in Jordan. Therefore, Google Forms was used to design the research instrument and ask consumers of these products to respond to it by publishing it on the official websites of the sellers and with their approval. Structural equation modeling (CB-SEM) technique using the AMOS software was used to test the study hypotheses. The study results show that product mental image mediates the relationship between online consumer review and purchasing intention. Based on the results of the study, the researchers provided recommendations.

The aim of this study is to validate the effects of three selected major drivers; namely technological, marketing, and behavioral on online food delivery orientation. A conceptual framework is developed based on the three selected major drivers from the previous studies. To achieve the study objective, a quantitative method, a cross-sectional survey of the users of online food delivery applications, was used and one-hundred and fifty four questionnaires were gathered and analyzed via IBM SPSS and AMOS software. The finding revealed that the model was valid and technological, marketing, and behavioral drivers were found to positively predict online food delivery orientation. Based on the study results, several recommendations were suggested in this study to improve the food delivery.

The purpose of this research is to look into the drivers that influence whether or not users will use e-training. The research identified six elements that influence e-training intention to use: perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), interaction (INT), technical support (TEC), and management support (MGS). Data were collected using a questionnaire distributed to a sample consisting of employees in private universities to test six hypotheses related to these factors. The results showed that four of these factors, i.e., perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), and technical support (TEC) are key drivers of e-training intention to use. Results are discussed and conclusion is reported.