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Usability,quality, value and e-learning continuance decisions
Affiliation:1. Department of Information Management, National Central University, No. 300, Jungda Road, Jhongli City, Taoyuan 320, Taiwan, ROC;2. Department of Information Management, National Kaohsiung First University of Science and Technology, 1, University Road, Yenchao, Kaohsiung 824, Taiwan, ROC;3. Department of Information Management, National Sun Yat-sen University, 70 Lien-Hai Road, Kaohsiung 804, Taiwan, ROC;4. National Kaohsiung Normal University, 116 Ho-Ping First Road, Kaohsiung 802, Taiwan, ROC;1. Korea University Business School, 5 Ga Anamdong, Sungbookgu, Seoul, South Korea;2. Chung-Ang University, School of Computer Science and Engineering, 84 Heukseokro, Dongjakgu, Seoul, South Korea;1. School of E-commerce & Logistics Management, Henan University of Economics and Law, 180 Jinshui East Road, Zhengzhou City 450046, PR China;2. Dept. Analytics & Operations, School of Business, National University of Singapore (NUS), 15 Kent Ridge Drive, Singapore 119245, Singapore;3. Dept. Public Management, School of Management, Harbin Institute of Technology (HIT), 92 West Dazhi Street, Nan Gang District, Harbin 150001, PR China;1. Faculty of Business Studies, University of Jammu, India;2. Indian Institute of Management (IIM), Indore, India;3. ICFAI Business School, Hyderabad, IFHE University, India
Abstract:Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.
Keywords:
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