TY - GEN
T1 - Understanding knowledge outcome improvement in virtual communities
T2 - America�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017
AU - Hsu, Chia Shiang
AU - Min, Hui Tzu
AU - Chou, Shih Wei
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This study seeks to understand how relational virtual communities (RVC) members improve knowledge outcomes, including reuse and new use of knowledge. We propose a model by integrating dedication/constraint mechanisms into social cognitive theory. This model delineates the relationship between members’ self-belief, motivation, and knowledge outcomes. In particular, self-belief is conceptualized as individual factors and environments factors. Motivation is based on one’s evaluation on interpersonal relationship development, in terms of relationship rewards and identity verification. Empirical results from survey data support most proposed hypotheses. We discuss the implications of our results.
AB - This study seeks to understand how relational virtual communities (RVC) members improve knowledge outcomes, including reuse and new use of knowledge. We propose a model by integrating dedication/constraint mechanisms into social cognitive theory. This model delineates the relationship between members’ self-belief, motivation, and knowledge outcomes. In particular, self-belief is conceptualized as individual factors and environments factors. Motivation is based on one’s evaluation on interpersonal relationship development, in terms of relationship rewards and identity verification. Empirical results from survey data support most proposed hypotheses. We discuss the implications of our results.
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M3 - Conference contribution
AN - SCOPUS:85048369706
T3 - AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
BT - AMCIS 2017 - America's Conference on Information Systems
PB - Americas Conference on Information Systems
Y2 - 10 August 2017 through 12 August 2017
ER -