The present study examined the impact of social media influencers (SMIs) on consumers’ purchasing decisions, by examining the factors affecting purchase intentions of consumers. Online questionnaire was used to gather data from Facebook users as the study respondents. SMIs are currently a promising marketing technique in influencing purchase intention of customers, but in Jordan, studies on this matter are still lacking. This study therefore presented several key factors associated with SMIs in influencing the purchase intention of customers, in Jordanian context. Accordingly, the key factors affecting customer purchase intention through SMIs were examined. A model was proposed and empirically tested and validated using structural equation model (SEM), with data obtained from 390 Jordanian Facebook users. From the results, significant impact of Information Quality (IQ) and Trustworthiness (TRU) on attitude toward a brand, and consequently on purchase intentions of customers, was affirmed.

E-learning results from the integration of technology and education and has become an effective learning medium today. E-learning courses and systems with various services are on the rise owing to its importance. E-learning systems should be evaluated to assure successful delivery, effective usage, and positive impacts on learners. A holistic model that identifies various levels of success on a vast range of success determinants was proposed. The model was empirically validated using data obtained from 724 e-learning student users in Jordan. Structural Equation Modelling (SEM) was used in data analyses. Results showed that perceived usefulness of information systems, user training, system quality, and management support have positive effects on user’s behavioral intention; whereas perceived ease of use has not. Also, SEM displayed that user behavioral intention has a positive effect on information systems use, use on student satisfaction, and the latter on student loyalty. Machine Learning (ML) methods produce high correlation values reaching up to 80% in predicting Behavior Intention (BI) from the input factors, and student loyalty from student satisfaction factors. This indicates that the ML are promising techniques to forecast the future targets based on the input independent features.

The effect of contextual factors namely information quality, service quality, system quality, Technological readiness, trust in applications (app) and COVID-19 health anxiety, on the intention and consequently the actual use of Mobile Payment (MP) app was examined in this study. Trust, as mediator to the relationship between technological readiness and intention to use MB-app was examined also. Data were obtained from 740 Jordanian Mobile Banking (MB) app users through an online survey. The relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety, Technological readiness and the intentions to use MB-app and the actual use of MB-app was empirically examined. The results showed a positive relationship between service quality, system quality, information quality, trust in the app and COVID-19 health anxiety, and the intentions to use MB-app, and in turn he actual use of MB-app, and a positive mediation of trust on the relationship between COVID-19 health anxiety and the intentions to use MB-app.

E-learning in knowledge management was examined in this study, specifically on how it assists organizations in improving knowledge transfer and e-learning management, to increase performance and employee knowledge management. In this study, e-learning and knowledge management systems and technology were jointly implemented, and its impact on organizational performance was examined. Organizational management was also explored. The present study investigated the relationship between knowledge management (KM) and innovation performance (IP). The mediating effect of knowledge Management was deeply explored. Randomly selected managers from 57 Jordanian manufacturing companies were the study samples, and there were 470 managers involved in this study, from strategic, tactical, and operational levels. Questionnaires were used to gather data, and the questionnaire items covered the constructs of knowledge management, organizational learning (OL), knowledge-oriented leadership (KOL) and IP. A research model was proposed and was tested using structural equation modeling (SEM). The findings were as follows: KOL positively affected KM; KOL positively affected IP; OL negatively affected IP; KOL positively affected KM; OL positively affected KM; KM positively affected IP and KM mediated the relationship between KOL, OL and IP.

The determinants of bring-your-own-device (BYOD) use protection intentions affecting BYOD usage protection behaviors were examined in this study. The determinants of employees’ behavioral intention to use and their actual protection behavior in protecting their devices BYOD environment were identified. Jordanian residents aged 18 and above, with mobile learning behavioral usage awareness, made up the study population. A survey questionnaire was used to obtain the data, while the proposed research model was tested using structural equation modeling (SEM). The results show positive impact of BYOD usage protection intention on mobile learning behavioral usage, while attitude showed insignificant impact on BODY usage protection intention. Subjective norms significantly affected BYOD usage protection intention, while information security awareness showed insignificant impact on BYOD usage protection intention.

Digital divide, trust towards e-commerce system, and facilitating conditions as the factors impacting the use intention of the international trade center were examined in this study, through a survey carried out on 500 Jordanian students. The proposed conceptual model was empirically tested, and significant impact of trust and facilitating conditions on intention to use the international trade center was affirmed. Meanwhile, the digital divide did not impact the intention to use the international trade center. Being limited to the Jordanian context, the study findings may not be generalizable to other countries.

Sustainable Learning and Education (SLE) is a recent emerging philosophy founded on sustainability principles and in response to the UN announced Sustainable Development Goals (SDGs). Therefore, technologies should be implemented to empower educational institutions to achieve SLE. This study aims to investigate the factors impacting the intentions of using blockchain technology for SLE in Jordanian universities. Accordingly, an extended Technology Acceptance Model (TAM) is proposed where five more factors are integrated. To this end, an extended model was proposed and validated using structural equation modeling based on 407 responses collected using an online survey. The results showed that adopted factors significantly impact blockchain use in SLE. We believe that the study finding would assist decision-makers in building systems for sustainable learning and education for the Jordanian higher educational institutes.

The purpose of this study is to look into Jordanian customers' purchasing habits in regard to electronic commerce. The goal of this research is to investigate the impact of social media on electronic commerce trust and purchasing behavior. Trust's impact on social commerce was also investigated. Furthermore, the influence of social commerce on electronic commerce purchasing behavior has been studied in greater depth. This study proposed a conceptual model, which was empirically tested with a survey of 150 Jordanians. The study's findings stated that social media and social commerce had a significant impact on Jordanians' purchasing behavior toward e-commerce. Besides that, trust has a significant impact on social commerce. Furthermore, social commerce influences e-commerce purchasing behavior. Because the study was limited to Jordan, one of the primary limitations of this study is that the results cannot be generalized. Similar studies in other countries are needed to either support or refute our findings.