| Summary: | 博士 === 國立中央大學 === 企業管理學系 === 101 === The development of Information and Communication Technology (ICT) and the Internet cause many organizations are utilizing e-learning including organization of education and business. This thesis focuses on the human resources factor to investigate what are the factors influences the adoption of e-learning system in two environments in Indonesia. This thesis therefore, comprises of two studies, investigating various factors which affect the adoption of e-learning system empirically in the environment of higher education and banking workplace. Study one considers the five factors that were believed to influence the adoption of e-learning system in the higher education. The data used to examine research model were obtained from 326 students of two public universities in Indonesia. This study examines computer self-efficacy, internet self efficacy, instructor’s attitude toward students, learning content, and technology accessibility together with the technology acceptance model (TAM) are perceived usefulness, perceived ease of use and perceived intention to use in the research model using structural equation modeling (SEM) technique. The result of this study provides interesting insights that four factors were shown significantly to be predictors of perceived usefulness and perceived easy of use. Both perceived ease of use and perceived usefulness were found significantly to be predictor of behavioral intention to use. Study two examines the factors which affect the adoption of e-learning system in the banking workplace. A total of 306 employees from two banking companies were participated in this study. This study selected five factors are management support, computer self efficacy, prior experience, computer anxiety and compatibility that are considered to be critical factors for the adoption of e-learning system in the workplace banking. Those five factors were examined together with the TAM to use in the research model using SEM technique. This study found that management support, prior experience, computer anxiety and compatibility have predictive power to behavioral intention to use e-learning system. This study also proves the numerous prior studies that perceived easy of use and perceived usefulness were significant predictor to behavioral intention to use e-learning system. Identifying those factors from two environments will help increase the knowledge regarding the students’ or employees’ behavior toward the adoption of e-learning system. Assuming that those factors can be clearly identified, the information can be used by the organization to increase the use of this approach of learning as well as improve the quality of learning.
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