Modeling the continuance usage intention of online learning environments |
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| Affiliation: | 1. School of Business Administration, Zhejiang Gongshang University, 310018, People''s Republic of China;2. Contemporary Business and Trade Research Center of Zhejiang Gongshang University, 310018, People''s Republic of China;3. Zheshang Research Center of Zhejiang Gongshang University, 310018, People''s Republic of China;4. University of Sharjah, College of Business Administration, Management Information Systems Department, P.O. Box 27272, Sharjah, United Arab Emirates;1. Department of Industrial Education, National Taiwan Normal University, Taiwan;2. Department of Adult and Continuing Education, National Taiwan Normal University, Taiwan;3. The National Academy of Civil Service, Taiwan;1. Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo FEA/USP, Av. Prof. Luciano Gualberto, 908, Bl. C, FEA1, Cidade Universitária, São Paulo, SP 05508-900, Brazil;2. Universidade Federal do Rio Grande do Norte - UFRN, Av. Sen. Salgado Filho, 3000, Lagoa Nova, Centro de Ciências Sociais Aplicadas, Anexo dos Professores, piso 3, sala 9, Natal, RN 59078-970, Brazil;1. Department of Business and Technology Management, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea;2. College of Business and Economics, University of Wisconsin-Whitewater, 800 West Main Street, Whitewater, WI 53190-1790, USA;1. INSERM – UMRS 1138, CRC, Team 22, Paris, France;2. Georges Pompidou European University Hospital (HEGP), Paris, France;3. Pierre and Marie Curie University, Paris, France;4. Paris Descartes University, Paris, France |
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| Abstract: | This study focused on the continuance usage intention toward online learning environments and also proposed and empirically tested an integrated model to better understand the determinants of students’ continuance intention to use these environments. For this purpose, variables which may have an effect on the continuance usage intention were examined and an “online continuance usage intention model” was revealed. When the variables of the hypothetical model were determined, Technology Continuance Theory, Information Systems Success Model, Cognitive Model and Information Systems Expectation Confirmation Model have been practiced on. Empirical data from 467 public university students who had used an online learning environment for the first time were tested against the proposed research model by using path analysis. The results indicated that, confirmation of the usage of online learning environments could be explained by information quality, system quality and service quality variables. 63% of the variance of the satisfaction variable was explained by information quality, system quality, service quality, confirmation, utilitarian value, outcome expectations and perceived value. Research results confirmed the propounded constructs of Information Systems Success Model and Information Systems Expectation Confirmation Model. In line with the obtained findings and results, some of the various suggestions were provided for the next studies and implementations. |
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| Keywords: | Continuance usage Information systems Information quality Online learning environments Service quality System quality |
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