Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model

Massive open online course (MOOC) is an innovative educational model that has attracted widespread attention in recent years. Despite a growing number of registered users, many have given up continuously using MOOC platforms after the first-time user experience; thus, a high dropout rate has severel...

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Autores principales:	Wei Gu, Ying Xu, Zeng-Jun Sun
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	MOOC platforms quality factors expectation confirmation D&M ISS model ECM continuance intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/12def2416237483ebebc4f7338af34b6
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spelling	oai:doaj.org-article:12def2416237483ebebc4f7338af34b62021-11-25T19:01:52ZDoes MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model10.3390/su1322125362071-1050https://doaj.org/article/12def2416237483ebebc4f7338af34b62021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12536https://doaj.org/toc/2071-1050Massive open online course (MOOC) is an innovative educational model that has attracted widespread attention in recent years. Despite a growing number of registered users, many have given up continuously using MOOC platforms after the first-time user experience; thus, a high dropout rate has severely hindered the sustainable development of MOOC platforms. To address the problem, this study started with the quality factors of MOOC platforms and the confirmation of user expectations by integrating the D&M ISS model and the expectation confirmation model into one, with the goal of identifying the factors that affect users’ continuance intention to use MOOC platforms. In this study, online questionnaires were distributed to Chinese users with experience in using MOOC platforms, and a total of 550 valid samples were recovered. In addition, the theoretical model was tested using structural equation modeling (SEM). The research results showed that there are three critical antecedents affecting the confirmation of user expectations for a MOOC platform, including information quality, system quality, and service quality, of which service quality has the greatest impact on users’ expectation confirmation. If user expectations for an MOOC platform are positively confirmed, the perceived usefulness of the platform as well as the satisfaction with it will effectively be improved. Moreover, perceived usefulness has been proven to be a critical factor affecting users’ continuance intention to use MOOC platforms, which is followed by user satisfaction. Compared to the original ECM, the integrated research model has delivered significantly improved explanatory power for users’ continuance intention. Hence, this study makes up for the insufficiency of ECM in explaining the factors affecting users’ expectation confirmation and provides theoretical support for MOOC platform developers.Wei GuYing XuZeng-Jun SunMDPI AGarticleMOOC platformsquality factorsexpectation confirmationD&M ISS modelECMcontinuance intentionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12536, p 12536 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MOOC platforms quality factors expectation confirmation D&M ISS model ECM continuance intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	MOOC platforms quality factors expectation confirmation D&M ISS model ECM continuance intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Wei Gu Ying Xu Zeng-Jun Sun Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
description	Massive open online course (MOOC) is an innovative educational model that has attracted widespread attention in recent years. Despite a growing number of registered users, many have given up continuously using MOOC platforms after the first-time user experience; thus, a high dropout rate has severely hindered the sustainable development of MOOC platforms. To address the problem, this study started with the quality factors of MOOC platforms and the confirmation of user expectations by integrating the D&M ISS model and the expectation confirmation model into one, with the goal of identifying the factors that affect users’ continuance intention to use MOOC platforms. In this study, online questionnaires were distributed to Chinese users with experience in using MOOC platforms, and a total of 550 valid samples were recovered. In addition, the theoretical model was tested using structural equation modeling (SEM). The research results showed that there are three critical antecedents affecting the confirmation of user expectations for a MOOC platform, including information quality, system quality, and service quality, of which service quality has the greatest impact on users’ expectation confirmation. If user expectations for an MOOC platform are positively confirmed, the perceived usefulness of the platform as well as the satisfaction with it will effectively be improved. Moreover, perceived usefulness has been proven to be a critical factor affecting users’ continuance intention to use MOOC platforms, which is followed by user satisfaction. Compared to the original ECM, the integrated research model has delivered significantly improved explanatory power for users’ continuance intention. Hence, this study makes up for the insufficiency of ECM in explaining the factors affecting users’ expectation confirmation and provides theoretical support for MOOC platform developers.
format	article
author	Wei Gu Ying Xu Zeng-Jun Sun
author_facet	Wei Gu Ying Xu Zeng-Jun Sun
author_sort	Wei Gu
title	Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
title_short	Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
title_full	Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
title_fullStr	Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
title_full_unstemmed	Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model
title_sort	does mooc quality affect users’ continuance intention? based on an integrated model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/12def2416237483ebebc4f7338af34b6
work_keys_str_mv	AT weigu doesmoocqualityaffectuserscontinuanceintentionbasedonanintegratedmodel AT yingxu doesmoocqualityaffectuserscontinuanceintentionbasedonanintegratedmodel AT zengjunsun doesmoocqualityaffectuserscontinuanceintentionbasedonanintegratedmodel
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Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model

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