The purpose of this study is to examine the different factors that are expected to influence the intention of hospitals to adopt cloud computing in Jordan. This study is conducted using quatititative methodology. 223 questionnaires were distributed to the IT departments of different hospitals to evaluate their ability and willingness to adopt cloud computing. The data were tested using multiple regression in order to determine whether Technology, Organizational, and Environmental factors (TOE) played a role in hospitals' decision to consider cloud computing as a beneficial investment. The findings of this study showed that all the factors had a significant positive impact on the intention of hospitals to adopt cloud computing, with the Technological factor having the most impact on the decision made.

This paper investigates the effect of social cues in a mall's shopping environment on customer behavior. Two competing mediation scenarios are assessed: emotion-cognition and cognition-emotion in a stimulus-organism-response (SOR)-based framework. Although the role of social cues in driving customer behavior in shopping contexts is largely addressed in the extant literature, the mechanism of the effect is still under-researched area and this study is an attempt to fill this gap.The conceptual model is validated through a questionnaire survey of 1028 shopping mall customers from three cities in Jordan. Two different conceptual models are tested. The analysis reveals that the cognition-emotion mediated model is more robust in predicting the effect of social cues than emotion-cognition mediated model. The findings indicate that a) social cues have a significant positive effect on customers' emotion of pleasure; cognition; and behavioral response; and b) only pleasure and cognition mediate the effect of social cues on customers' behavioral response.Theoretically, this study provides a comprehensive understanding of the mechanism by which customers' emotions and cognition mediate the effect of social cues on customer behavior; and practically, it asserts the significance of social cues as a marketing tool.

This research paper aims to investigate the effect of Internet of Things (IoT) on Search Engine Optimization (SEO) by considering the mediating role of user behavior on this effect. A conceptual research model was developed in accordance with the UTAUT and based on a thorough analysis of extant research. A self-handled questionnaire survey was administered to a purposely selected sample of employees working in telecommunications companies in Jordan. A dataset of 131 usable questionnaires were subjected to data analysis using SmartPLS 3.0. The main findings showed that IoT affected SEO and user behavior. User behavior was also found to be significantly predicted by IoT and to mediate its effect on SEO. The results revealed the significance of SEO as an emerging effective electronic marketing tool in encouraging consumers' adoption of new technologies. The paper ends with a discussion of findings, conclusions, and areas for future research.

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The purpose of this study is to examine the determinants of behavioral intentions to use of mobile health (m-Health) applications in Jordan through examining the mediating role of perceived trust and its influence on the behavioral intention to use such applications. A conceptual model was developed based on the extant literature. A questionnaire survey was administered to a convenient sample of 318. Data was analyzed using smart PLS 3. The findings suggest that patients’ behavioral intentions to use m-Health applications are positively affected by perceived ease of use, perceived security, social influence and perceived trust of these applications. Perceived Trust was also found to mediate the relationship between these factors and the behavioral intention. Discussion, conclusions, implications, research limitations and areas for future research are also provided.