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The effect of reducing risk and improving personal motivation on the adoption of knowledge repository system
Authors:Chung-Hung Tsai [Author Vitae]  Desheng Dash Wu [Author Vitae]
Institution:a Department of Health Administration, Tzu Chi College of Technology, 880, Sec 2, Chien-Kuo R.d,, Hualien 97005 Taiwan, ROC
b Department of Business Administration and Accounting, National Dong-Hwa University, 1, Sec 2, Da Hsueh R.d., Hualien 97401, Taiwan, ROC
c Institute of Technology Management, National Chung Hsing University, 250, Kuo Kuang R.d., Taichung 402, Taiwan, ROC
d Reykjavik University, Kringlunni 1, IS-103 Reykjavík, Iceland and RiskLab, University of Toronto, Toronto, Ontario, Canada M5S 3G8
Abstract:The role of Knowledge Repository Systems (KRSs) is to provide the exchanging intermediaries of explicit knowledge between knowledge contributors and knowledge seekers to assist knowledge sharing of employees in the organization. However, there is still a lack of deep understanding of how to reduce perceived risk and improve personal motivation on the adoption of KRSs in previous research. The paper presents social-psychological-technical perspectives to integrate social factors of reduced perceived risk (trust and organizational support) into Motivation Model (MM) and develop a comprehensive framework for assessing and analyzing the interaction of technology with the social, psychological, and behavioral aspects in KRSs. The proposed framework is validated with 528 respondents from teaching hospitals located in Taiwan, which shows that social factors of reduced perceived risk, personal motivation factors, and technology quality factors are three key factors affecting the acceptance of the KRSs. In other words, technological, social, psychological aspects will affect simultaneously behavioral intention in KRSs. Moreover, the psychological aspects are important mediators among technological, social, and behavioral aspects. The findings may be used as theoretical base for future research and offer empirical foresight to managers of organizations in assessing and evaluating the performance of the KRSs.
Keywords:Knowledge repository systems  Trust  Perceived risk  Motivation Model (MM)
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