Task-Individual-Social Software Fit in Knowledge Creation Performance

Task-Individual-Social Software Fit in Knowledge Creation Performance

Didi Sundiman (Universitas Universal, Batam, Indonesia), Chien Hsing Wu (National University of Kaohsiung, Kaohsiung, Taiwan), Andi Mursidi (STKIP Singkawang (Sekolah Tinggi Keguruan dan Ilmu Pendidikan Singkawang), Indonesia) and I-Hsien Ting (Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan)
Copyright: © 2019 |Pages: 19
DOI: 10.4018/IJKM.2019040103

Abstract

The present article aims to disclose the role of task–individual–social software fit (TISF) in knowledge creation in the context of the manufacturing and service industries and research institutes. The methodology used is an empirical study that proposes and examines the proposed research model. The mediation effect of structural social exchange is also explored. Results of the data analysis of 279 valid samples reveal the following findings. First, the effect of TISF is confirmed. Second, structural exchanges do not mediate the role of TISF toward creation performance. Third, TISF is significantly associated with the social software, creation task, and individual cognition variables. Lastly, goal-free and goal-frame creation modes and analytical and intuitive cognition styles significantly influence the fit of features of creation task, individual cognition, and social software. The article provides domain scholars and practitioners with value of the task–individual–social software fit in the context of knowledge creation. Discussion and implications are also presented in this article.
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The global competition requires individuals and organizations with all the limited resources to be effective. Systems and technologies built aims to simplify all human activities. Technology supports human and organizational activities to be more efficient and effective (Liao et al., 2014). As a creator and a technology user there must be a good reciprocal relationship between users and the technology itself (Zahra &Nielsen, 2002). Effectiveness and efficiency of the system built are determined by the sophistication of existing technology. The role of humans as individuals and within organizations has a very significant impact on system effectiveness.

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