Abstract
Many organizations have implemented knowledge management systems to support knowledge management. However, many of such systems have failed due to the lack of relationship networks and IT capability within organizations. Motivated by such concerns, this paper examines the factors that may facilitate the success of knowledge management systems. The ten constructs derived from social capital theory, resource-based view and IS success model are integrated into the current research model. Twenty-one hypotheses derived from the research model are empirically validated using a field survey of KMS users. The results suggest that social capital and organizational IT capability are important preconditions of the success of knowledge management systems. Among the posited relationships, trust, social interaction ties, IT capability do not significantly impact service quality, system quality and IT capability, respectively. Against prior expectation, service quality and knowledge quality do not significantly influence perceived KMS benefits and user satisfaction, respectively. Discussion of the results and conclusion are provided. This study then provides insights for future research avenue.
Original language | English |
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Pages (from-to) | 36-50 |
Number of pages | 15 |
Journal | Knowledge Management and E-Learning |
Volume | 1 |
Issue number | 1 |
Publication status | Published - 2009 Mar 1 |
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All Science Journal Classification (ASJC) codes
- Education
- Management of Technology and Innovation
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Social capital, IT capability, and the success of knowledge management systems. / Chen, Irene Y.L.
In: Knowledge Management and E-Learning, Vol. 1, No. 1, 01.03.2009, p. 36-50.Research output: Contribution to journal › Article
TY - JOUR
T1 - Social capital, IT capability, and the success of knowledge management systems
AU - Chen, Irene Y.L.
PY - 2009/3/1
Y1 - 2009/3/1
N2 - Many organizations have implemented knowledge management systems to support knowledge management. However, many of such systems have failed due to the lack of relationship networks and IT capability within organizations. Motivated by such concerns, this paper examines the factors that may facilitate the success of knowledge management systems. The ten constructs derived from social capital theory, resource-based view and IS success model are integrated into the current research model. Twenty-one hypotheses derived from the research model are empirically validated using a field survey of KMS users. The results suggest that social capital and organizational IT capability are important preconditions of the success of knowledge management systems. Among the posited relationships, trust, social interaction ties, IT capability do not significantly impact service quality, system quality and IT capability, respectively. Against prior expectation, service quality and knowledge quality do not significantly influence perceived KMS benefits and user satisfaction, respectively. Discussion of the results and conclusion are provided. This study then provides insights for future research avenue.
AB - Many organizations have implemented knowledge management systems to support knowledge management. However, many of such systems have failed due to the lack of relationship networks and IT capability within organizations. Motivated by such concerns, this paper examines the factors that may facilitate the success of knowledge management systems. The ten constructs derived from social capital theory, resource-based view and IS success model are integrated into the current research model. Twenty-one hypotheses derived from the research model are empirically validated using a field survey of KMS users. The results suggest that social capital and organizational IT capability are important preconditions of the success of knowledge management systems. Among the posited relationships, trust, social interaction ties, IT capability do not significantly impact service quality, system quality and IT capability, respectively. Against prior expectation, service quality and knowledge quality do not significantly influence perceived KMS benefits and user satisfaction, respectively. Discussion of the results and conclusion are provided. This study then provides insights for future research avenue.
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UR - http://www.scopus.com/inward/citedby.url?scp=84866248447&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84866248447
VL - 1
SP - 36
EP - 50
JO - Knowledge Management and E-Learning
JF - Knowledge Management and E-Learning
SN - 2073-7904
IS - 1
ER -