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首页> 外文期刊>Journal of Enterprise Information Management >Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation-confirmation model with flow theory
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Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation-confirmation model with flow theory

机译：调查基于云的电子学习系统的持续意图：流动理论的期望确认模型的延伸

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Purpose The purpose of this study is to propose an integrated model based on expectation-confirmation model (ECM), flow theory and human-organization-technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system. Design/methodology/approach Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study. Findings Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant. Originality/value Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.
机译：目的本研究旨在提出一个基于期望确认模型（ECM）、流程理论和人-组织-技术匹配框架的综合模型，以检验作为医学专业人员信念前因的人、组织和技术因素是否会影响他们基于云的e-learning系统的持续意图。设计/方法/途径本研究的样本数据来自台湾五家医院的医务人员。本研究共发放了500份问卷，使用结构方程模型分析了368份（73.6%）有效问卷。研究结果综合而言，人、组织和技术因素是医学专业人员持续使用基于云的电子学习系统的前因，研究结果有力地支持了研究模型，所有假设的联系都是显著的。独创性/价值尤其值得一提的是，利用ECM和流理论全面解释三类因素（即人、组织和技术因素）作为医疗专业人员基于云的电子学习持续性意图的外部变量的应用已得到充分证明，即，同时评估信息系统（IS）和非IS的决定因素，并在本研究对医疗专业人员基于云的电子学习持续性意图的理论发展中考虑外部和内部激励因素，以获得更全面、更稳健的分析。

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