Title: Continuance use of enterprise social network sites as knowledge sharing platform: perspectives of tasks-technology fit and expectation disconfirmation theory

Authors: Quang-An Ha; Jengchung Victor Chen; Thi Hong Thu Nguyen

Addresses: School of International Business and Marketing, University of Economics Ho Chi Minh City, 59c Nguyen Dinh Chieu, Dist. 3, Ho Chi Minh City, Vietnam ' Institute of International Management, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan ' School of International Business and Marketing, University of Economics Ho Chi Minh City, 59c Nguyen Dinh Chieu, Dist. 3, Ho Chi Minh City, Vietnam

Abstract: Enterprise social network sites (ESNS) are widely deployed in many firms to enhance employee collaborations and promote knowledge sharing within the organisation. Although firms tried to exploit the advantage of such advantaged technology, its benefits is still limited due to the challenges in the post-adoption of ESNS. Therefore, this empirical study aims to examine factors that lead to the success of ESNS post-adoption which is reflected through the continuance use of these systems for knowledge sharing by employing the task-technology fit (TTF) theory and the expectation disconfirmation theory (EDT). The results showed that the fit between knowledge-related tasks and ESNS characteristics, ESN satisfaction, and the knowledge self-efficacy influence user's continuance knowledge sharing intention. Moreover, the significant impact of disconfirmation of reciprocity on ESN satisfaction and the impact of disconfirmation of helping others on knowledge self-efficacy provide complementarity factors that complete the picture of the continuance use of ESNS as well as devise some guidelines for ESNS post-adoption practices. Finding discussion, implications, and limitations are provided.

Keywords: task-technology fit; TTF; social-technology fit; knowledge sharing efficacy; satisfaction; disconfirmation; ESNS.

DOI: 10.1504/IJKMS.2021.118349

International Journal of Knowledge Management Studies, 2021 Vol.12 No.4, pp.429 - 451

Received: 10 Jun 2020
Accepted: 17 Nov 2020
Published online: 22 Oct 2021 *

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