Understanding continuance intention of knowledge creation using extended expectation–confirmation theory: an empirical study of Taiwan and China online communities

Abstract

Grounded on expectation–confirmation theory (ECT), this study proposes an integrated model aiming to understand how participants' continuance intention of knowledge creation and satisfaction are affected by their perceived identity verification (PIV) and performance expectancy in an online community. To assess the theoretical model, we surveyed two online communities – Baidu (China) and Yahoo knowledge+ (Taiwan), including 213 and 216 useable responses, respectively. Both PIV and performance expectancy are positively associated with continuance intention of knowledge creation. In Baidu community, satisfaction is affected either directly by performance expectancy or indirectly by PIV (through performance expectancy). Our findings have implications for both practice and theory.

Keywords:

• perceived identity verification (PIV)
• performance expectancy
• knowledge creation
• expectation–confirmation theory (ECT)

Notes

1. ECT – in its original form, it was called ‘expectancy disconfirmation theory’ in the marketing literature. Later, it was changed to ‘confirmation’ and ECT has been widely applied to studying IS users' continuance decision.