Determinants of knowledge management system adoption in health care

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/106583

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106583

Title:	Determinants of knowledge management system adoption in health care
Authors:	蔡家安;Tsai, Jacob Chia-An;Hung, Shin-Yuan
Contributors:	管理學院資訊管理學系
Keywords:	Computation;Demand;Determinants;Electronic commerce;Health care;Information technology;information technology adoption;Knowledge management;knowledge management system;Medical research;Product innovation;Technology adoption
Date:	2016-07-02
Issue Date:	2026-04-23 13:29:37 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Mahwah: Taylor & Francis
Abstract:	摘要： The demand for efficient knowledge management (KM) in health care is increasing because the complexity and scale of the knowledge generated from medical research and clinical practices have resulted in challenges of information overload and medical quality. These critical issues can be improved through the adoption of knowledge management systems (KMS). However, the adoption of technological innovations in health care demands an enhanced understanding of the lagged technology adoption status in the health care sector. This study uses empirical methods to investigate the determinants of KMS adoption on the basis of a national survey. Results suggest that KMS adoption is affected by organizational characteristics, KM enablers, and KMS characteristics. We emphasize that KMS adoption in health care is considerably complex because it largely depends on KM enablers and organizational characteristics and not solely on system characteristics. The implications of the findings for research and practice are outlined in this work. 出版者： Mahwah: Taylor & Francis 出版日期： 2016-01-01 出處： Journal of organizational computing and electronic commerce, 2016-01, Vol.26 (3), p.244-266 版權： 2016 Taylor & Francis 2016 版權： 2016 Taylor & Francis 識別號： ISSN: 1091-9392 識別號： EISSN: 1532-7744 識別號： DOI: 10.1080/10919392.2016.1194062
Appears in Collections:	[Department of Information Management] journal & Dissertation

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