The purpose of this study was to present a causal model of acceptance and utilization in the usage of virtual learning among oil industrial staffs. It has been tried to investigate the factors such as subjective norm, computer self- efficacy, task-technology fit and the
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The purpose of this study was to present a causal model of acceptance and utilization in the usage of virtual learning among oil industrial staffs. It has been tried to investigate the factors such as subjective norm, computer self- efficacy, task-technology fit and their relations to variables associated with the technology acceptance model, perceived usefulness, perceived ease of use and intention to use of virtual learning among staffs. In terms of objectives, this study was an applied research and in terms of the method of collecting and analyzing data, it was a descriptive and correlational research. The populations of this study were Oil Company employees who are familiar with virtual learning (330) included. The sample were 172(based on Morgan table), who, were selected through the simple-random sampling methods and Several questionnaires were completed by the participants, such as subjective norm Ajjan & Hartshorn (2008), task-technology fit Vatanasakdakul & et al (2010), perceived ease of use Moon & kim (2001), perceived usefulness Kim & et al (2007), and intention to use Samiento (2009) and computer self-efficacy Wolters & Daugherty (2007.To examine the research hypotheses, the path analysis was used. Findings indicated that computer self- efficacy, task-technology fit and Subjective norm have a significant effect on intention to use of virtual learning directly or indirectly, through the intermediate role of the variables perceived ease of use and perceived usefulness. The greatest total effect on intention to use of virtual learning were related to the Task-technology fit and perceived ease of use and the least total effect was related to the subjective norm.
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