This study develops and empirically tests a conceptual model of customer perceived value and its antecedents and consequences on the social commerce context. The study identifies online service quality and online trust as factors influencing customer perceived value and customer satisfaction as a consequence of customer perceived value in social commerce. A detailed questionnaire was developed to measure the relationship between the aforementioned variables and data was collected from 149 Jordanian web users by email. The data was analyzed using PLS-SEM technique. The results provided support for the theoretical model of this study. In particular, the study identified that all dimensions of perceived value were found to have a significant effect on customer satisfaction. Specifically, the study found that both social value and information value to have a significant effect on customer satisfaction. Furthermore, the study identified that online trust and online service quality are factors having direct influence on customer information and social value. It was found, however, that online service quality is the strongest predictor of customer perceived value. Finally the study discusses the implications and scope for future research in the area.

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While a considerable amount of research has been conducted on information systems success models, little research has been carried out to address the conceptualization and measurement of e-HRM success within organizations. Whether or not traditional IS success models can be extended to assessing e-HRM success is rarely addressed. This study provides the first empirical test of an adaptation of DeLone and McLean's IS success model in the context of e-HRM. The model consists of six dimensions: information quality, system quality, service quality, use, user satisfaction, and perceived net benefit. Structural equation modelling techniques is applied to data collected by questionnaire from 104 Human Resources (HR) managers and HR employees from a large Jordanian governmental ministry. The hypothesized relationships between the six success variables are significantly supported by the data. The findings provide several important implications for HR research and practice. This paper concludes by discussing the limitations of the study, which should be addressed in future research.

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Aims:The aim of this research is to investigate the factors affecting the intention towards using e-learning in a Jordanian university, through an extension of the technology acceptance model (TAM). Place and Duration of Study: Amman University College between May and July 2013. Study Design: Adapted theoretical framework. This study incorporates perceived system quality and perceived self-efficacy into the TAM model in order to investigate the role of perceived system quality and perceived self-efficacy in educators' intention towards using e-learning. Methodology: The adapted model was applied to Amman University College; the study used primary data that was collected through self-administered questionnaires; Partial least squares analysis was used to observe the associations of proposed constructs. Results:The results of the study confirm the original technology acceptance model findings. The research results show that all the hypotheses are supported, which indicates that the extended variables can effectively predict whether users will adopt an elearning system. Conclusion: This research advances theory and contributes to the foundation for future research aimed at improving our understanding of students' adoption behavior of the elearning system. This study will help to determine what are the factors that are significant in explaining the intention towards e-learning.

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