TY - JOUR
T1 - Understanding IT professionals' knowledge sharing intention through KMS
T2 - A social exchange perspective
AU - Tsai, Ming Tien
AU - Chang, Hsiu Ching
AU - Cheng, Nai Chang
AU - Lien, Chung Chang
PY - 2013/8
Y1 - 2013/8
N2 - Knowledge sharing is the behavior of disseminating acquired knowledge to other members of an organization, and often presents major challenges, because some employees resist sharing their knowledge with others. In this paper, we investigate the knowledge sharing behavioral intention based on social exchange theory (SET). SET emphasizes non-material exchange, and people share their knowledge by weighing the potential benefits and risks of social relationships. The research presented in this study includes various constructs based on SET and social cognitive theory. This study examines the role of social exchange factors (perceived organizational support, organizational trust and reciprocal relationship expectancy) in explaining IT professionals' knowledge sharing intentions through KMS. Based on a survey of 251 IT professionals in STSP, this study applies structural equation modeling to verify the research model. The results showed that trust, self-efficacy and reciprocal relationship expectancy are significantly associated with knowledge sharing through KMS.
AB - Knowledge sharing is the behavior of disseminating acquired knowledge to other members of an organization, and often presents major challenges, because some employees resist sharing their knowledge with others. In this paper, we investigate the knowledge sharing behavioral intention based on social exchange theory (SET). SET emphasizes non-material exchange, and people share their knowledge by weighing the potential benefits and risks of social relationships. The research presented in this study includes various constructs based on SET and social cognitive theory. This study examines the role of social exchange factors (perceived organizational support, organizational trust and reciprocal relationship expectancy) in explaining IT professionals' knowledge sharing intentions through KMS. Based on a survey of 251 IT professionals in STSP, this study applies structural equation modeling to verify the research model. The results showed that trust, self-efficacy and reciprocal relationship expectancy are significantly associated with knowledge sharing through KMS.
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U2 - 10.1007/s11135-012-9685-4
DO - 10.1007/s11135-012-9685-4
M3 - Article
AN - SCOPUS:84879297426
SN - 0033-5177
VL - 47
SP - 2739
EP - 2753
JO - Quality and Quantity
JF - Quality and Quantity
IS - 5
ER -