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The Role of Feedback in Managing the Internet-Based Volunteer Work Force

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  • Jae Yun Moon

    (Business School, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong)

  • Lee S. Sproull

    (Stern School of Business, New York University, New York, New York 10012)

Abstract

This paper explores a new phenomenon at the intersection of digital networks and organizations---the Internet-based volunteer work force---people who use Internet applications to pursue a personal interest through volunteering contributions of time and talent that may create value for organizations and their customers or members. This work force is not centrally organized, managed, or measured. It is an emergent phenomenon resulting from discretionary small actions taken by large numbers of people, enabled by technology and human initiative. This paper proposes a general framework for understanding the phenomenon and offers an empirical investigation of one component of it---the role of feedback in producing and sustaining high-quality contributions from this work force. In a comparative study of Internet-based voluntary technical support groups for software problems, we found that in groups who implement systematic quality feedback systems (compared to those that do not), question askers return over a longer duration, answer providers contribute more often, and technical problem resolution is more effective. We also found that with systematic feedback, volunteers who produce higher quality contributions have longer participation duration, and participation duration is positively associated with community maintenance contributions.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:orisre:v:19:y:2008:i:4:p:494-515
    DOI: 10.1287/isre.1080.0208
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    Cited by:

    1. Slivko, Olga, 2014. "Peer effects in collaborative content generation: The evidence from German Wikipedia," ZEW Discussion Papers 14-128, ZEW - Leibniz Centre for European Economic Research.
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    3. Chaïma Siala & Abdelmajid Amine & Kaouther Saied Benrached, 2020. "Exploring the role of feedback source and timing at crowdsourcing campaigns [Exploration du rôle joué par la source et le moment du Feedback durant les campagnes de crowdsourcing]," Post-Print hal-02952176, HAL.
    4. Yue Jin & Yong Tan & Jinghua Huang, 2022. "Managing contributor performance in knowledge‐sharing communities: A dynamic perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 3945-3962, November.
    5. Xiaohua Zeng & Liyuan Wei, 2013. "Social Ties and User Content Generation: Evidence from Flickr," Information Systems Research, INFORMS, vol. 24(1), pages 71-87, March.
    6. Filipa Silva & Teresa Proença & Marisa R. Ferreira, 2018. "Volunteers’ perspective on online volunteering - a qualitative approach," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 15(4), pages 531-552, December.
    7. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
    8. Smirnova, Inna & Reitzig, Markus & Alexy, Oliver, 2022. "What makes the right OSS contributor tick? Treatments to motivate high-skilled developers," Research Policy, Elsevier, vol. 51(1).
    9. Gloria Urrea & Eunae Yoo, 2023. "The role of volunteer experience on performance on online volunteering platforms," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 416-433, February.
    10. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.
    11. Hung-Pin Shih & Echo Huang, 2014. "Influences of Web interactivity and social identity and bonds on the quality of online discussion in a virtual community," Information Systems Frontiers, Springer, vol. 16(4), pages 627-641, September.
    12. Xiaoqing Wang & Brian S. Butler & Yuqing Ren, 2013. "The Impact of Membership Overlap on Growth: An Ecological Competition View of Online Groups," Organization Science, INFORMS, vol. 24(2), pages 414-431, April.
    13. Lihua Wang & Xin Luo, 2021. "Understanding the Interplay Between Government Microblogs and Citizen Engagement: Evidence from China," Electronic Commerce Research, Springer, vol. 21(2), pages 487-520, June.
    14. Natalia Levina & Manuel Arriaga, 2014. "Distinction and Status Production on User-Generated Content Platforms: Using Bourdieu’s Theory of Cultural Production to Understand Social Dynamics in Online Fields," Information Systems Research, INFORMS, vol. 25(3), pages 468-488, September.
    15. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
    16. Shane Greenstein & Grace Gu & Feng Zhu, 2021. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians," Management Science, INFORMS, vol. 67(5), pages 3067-3086, May.
    17. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    18. Chen, Xiaomeng & Forman, Christopher & Kummer, Michael E., 2021. "Chat more and contribute better: An empirical study of a knowledge-sharing community," ZEW Discussion Papers 21-061, ZEW - Leibniz Centre for European Economic Research.
    19. Hsieh, Jung-Kuei & Hsieh, Yi-Ching, 2013. "Appealing to Internet-based freelance developers in smartphone application marketplaces," International Journal of Information Management, Elsevier, vol. 33(2), pages 308-317.
    20. Patrick J. Bateman & Peter H. Gray & Brian S. Butler, 2011. "Research Note ---The Impact of Community Commitment on Participation in Online Communities," Information Systems Research, INFORMS, vol. 22(4), pages 841-854, December.
    21. Linus Dahlander & Lars Frederiksen, 2012. "The Core and Cosmopolitans: A Relational View of Innovation in User Communities," Organization Science, INFORMS, vol. 23(4), pages 988-1007, August.
    22. Lerner, Jürgen & Kenis, Patrick & Raaij, Denise van & Brandes, Ulrik, 2011. "Will they stay or will they go? How network properties of WebICs predict dropout rates of valuable Wikipedians," European Management Journal, Elsevier, vol. 29(5), pages 404-413.
    23. Mingfeng Lin & Henry C. Lucas & Galit Shmueli, 2013. "Research Commentary ---Too Big to Fail: Large Samples and the p -Value Problem," Information Systems Research, INFORMS, vol. 24(4), pages 906-917, December.

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