Motivators of researchers' knowledge sharing and community promotion in online multi-background community

Siwei Sun, Fangyu Zhang, Victor Chang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

As an essential group in knowledge innovation, researchers are encouraged to exchange ideas with each other for further brainstorm through advanced communication technology. However, efficient online knowledge sharing among researchers is still limited. Although past literature proposes a series of motivators of online knowledge sharing, the differences in the effects of motivators remain in dispute. Thus, it is time to understand how motivators influence each other and inspire scientists to share knowledge and promote virtual communities. Based on the self-determination theory, this study proposes a model with several factors and analyze 301 Chinese researchers' data in an online WeChat cross-disciplinary research community by adopting SmartPls 2.0 and SPSS 22. The results reveal the effects of several antecedents and mediating effects of altruism and knowledge sharing behavior and report the differences of results among different demographic groups. This study enriches the literature in knowledge sharing on social media and proposes further research points to researchers and useful advice to practitioners.

Original languageEnglish
Pages (from-to)23-49
Number of pages27
JournalInternational Journal of Knowledge Management
Volume17
Issue number2
DOIs
Publication statusPublished - 1 Apr 2021

Bibliographical note

Funding Information:
This work is partly supported by VC Research (VCR 0000016).

Publisher Copyright:
© 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

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