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A Test of the Individual Action Model for Organizational Information Commons

Author

Listed:
  • Janet Fulk

    (Annenberg School for Communication, and Marshall School of Business, University of Southern California, 3502 Watt Way, Los Angeles, California 90089–0281)

  • Rebecca Heino

    (McDonough School of Business, Georgetown University, 37th and O Streets, NW, Washington, D.C. 20057)

  • Andrew J. Flanagin

    (Department of Communication, University of California, Santa Barbara, Santa Barbara, California 93106)

  • Peter R. Monge

    (Annenberg School for Communication, and Marshall School of Business, University of Southern California, 3502 Watt Way, Los Angeles, California 90089–0281)

  • François Bar

    (Annenberg School for Communication, University of Southern California, 3502 Watt Way, Los Angeles, California 90089–0281)

Abstract

This research elaborated and empirically tested the individual action component of the collective action model as applied to individual contributions to organizational information commons. The model extended prior theory and research by making six elaborations on the classic collective action model based on unique characteristics of information goods compared to material collective goods. The structural equation model was tested via LISREL analyses of data provided by 781 respondents in three high-tech firms who had access to corporate intranets as shared information goods. The results were highly similar across organizations and indicated that (a) level of production, information retrieval, and cost predicted the perceived value of information, (b) information value and cost predicted gain, and (c) information retrieval and gain predicted the level of individual contributions to the commons.

Suggested Citation

  • Janet Fulk & Rebecca Heino & Andrew J. Flanagin & Peter R. Monge & François Bar, 2004. "A Test of the Individual Action Model for Organizational Information Commons," Organization Science, INFORMS, vol. 15(5), pages 569-585, October.
    • Handle: RePEc:inm:ororsc:v:15:y:2004:i:5:p:569-585
    DOI: 10.1287/orsc.1040.0081
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    References listed on IDEAS

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    Cited by:

    1. Jae Yun Moon & Lee S. Sproull, 2008. "The Role of Feedback in Managing the Internet-Based Volunteer Work Force," Information Systems Research, INFORMS, vol. 19(4), pages 494-515, December.
    2. Bindu Gupta & Sahil Joshi & Mohit Agarwal, 2012. "The Effect of Expected Benefit and Perceived Cost on Employees’ Knowledge Sharing Behavior: A Study of IT Employees in India," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 3(1).
    3. Gloria Aparicio & Txomin Iturralde & Ana Vilma Rodríguez, 2023. "Developments in the knowledge-based economy research field: a bibliometric literature review," Management Review Quarterly, Springer, vol. 73(1), pages 317-352, February.
    4. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2015. "What Drives Academic Data Sharing?," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-25, February.
    5. Steinel, Wolfgang & Utz, Sonja & Koning, Lukas, 2010. "The good, the bad and the ugly thing to do when sharing information: Revealing, concealing and lying depend on social motivation, distribution and importance of information," Organizational Behavior and Human Decision Processes, Elsevier, vol. 113(2), pages 85-96, November.
    6. Elina H. Hwang & Param Vir Singh & Linda Argote, 2015. "Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries," Organization Science, INFORMS, vol. 26(6), pages 1593-1611, December.
    7. Samer Faraj & Steven L. Johnson, 2011. "Network Exchange Patterns in Online Communities," Organization Science, INFORMS, vol. 22(6), pages 1464-1480, December.
    8. Fujio Toriumi & Hitoshi Yamamoto & Isamu Okada, 2020. "A belief in rewards accelerates cooperation on consumer-generated media," Journal of Computational Social Science, Springer, vol. 3(1), pages 19-31, April.
    9. Sheen S. Levine & Michael J. Prietula, 2012. "How Knowledge Transfer Impacts Performance: A Multilevel Model of Benefits and Liabilities," Organization Science, INFORMS, vol. 23(6), pages 1748-1766, December.
    10. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," RatSWD Working Papers 236, German Data Forum (RatSWD).
    11. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," SOEPpapers on Multidisciplinary Panel Data Research 655, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Matthew J. Robson & Constantine S. Katsikeas & Daniel C. Bello, 2008. "Drivers and Performance Outcomes of Trust in International Strategic Alliances: The Role of Organizational Complexity," Organization Science, INFORMS, vol. 19(4), pages 647-665, August.
    13. Mäntymäki, Matti & Riemer, Kai, 2016. "Enterprise social networking: A knowledge management perspective," International Journal of Information Management, Elsevier, vol. 36(6), pages 1042-1052.

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