온라인 지식 커뮤니티에서의 지식기여 의도의 동기요인 (The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities)

김종애 (Jong-Ae Kim)

doi:10.4275/KSLIS.2009.43.3.297

The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities

Journal of the Korean Society for Library and Information Science
2009, 43(3), pp.297-312
DOI : 10.4275/KSLIS.2009.43.3.297
Publisher : 한국문헌정보학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 20, 2009
Accepted : September 14, 2009

Jong-Ae Kim ¹

¹경기대학교

Accredited

ABSTRACT

This study examined the intrinsic and extrinsic motivational factors affecting the intention to contribute knowledge to online communities. It examined enjoyment, knowledge self-efficacy, and commitment as the intrinsic motivational factors, and anticipated reciprocity, image, and subjective norm as the extrinsic motivational factors. The results showed that intrinsic motivational factors, enjoyment and knowledge self-efficacy were found to have significant influences on attitudes towards knowledge contribution to online communities, but commitment was not. Of the extrinsic motivational factors, anticipated reciprocity was found to have a significant influence on attitudes toward knowledge contribution to online communities, but image and subjective norm were not.

KEYWORDS

Online Community, Knowledge Contribution, Intrinsic Motivation, Extrinsic Motivation

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.