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Cited by 327

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Assessing Motivation of Contribution in Online Communities: An Empirical Investigation of an Online Travel Community

YOUCHENG, WANG, FESENMAIER, D. R.·2003·Electronic Markets

Abstract

This study contributes to the understanding of online communities by examining why community members are willing to make active contributions to their community. A model of motivation for such contributions was developed and tested within the context of an online travel community. The results of a factor analysis and a series of reliability tests indicate that the motivation model is valid and can serve as a basis for the understanding of online community members' motivation of contribution. The results of the path analyses show that motivations of efficacy, instrumental, and expectancy have positive effects on level of contribution. In addition, ease of communication, members' personality as well as their level of general involvement in the community are found to have positive relationships with level of active contribution. Discussion and implications are provided based on the study results.

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Metadata

Authors
YOUCHENG, W., & FESENMAIER, D. R.
Venue
Electronic Markets
Published
2003-01-01
Volume
13
Issue
1
Pages
33-45
ISSN
  • 1019-6781 (ISSN-L)
  • 1422-8890
OpenAlex
W2077952013
Cited by
327
References
13
FWCI
19.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Assessing Motivation of Contribution in Online Communities: An Empirical Investigation of an Online Travel Community. https://app.cochat.ai/papers/10.1080/1019678032000052934
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YOUCHENG, W., & FESENMAIER, D. R. (2003). Assessing Motivation of Contribution in Online Communities: An Empirical Investigation of an Online Travel Community. Electronic Markets. https://doi.org/10.1080/1019678032000052934

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.