"The double-edged sword of inflated help": Unravelling the motivation crowding in community question-answering platforms.

Autor: Krishna V; Yale Institute of Network Science, Yale University, New Haven, Connecticut, United States of America.; Department of Sociology, Yale University, New Haven, Connecticut, United States of America., Shrestha YR; Faculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland., von Krogh G; Department of Management, Technology and Economics, ETH Zürich, Zürich, Switzerland.; ETH AI Center, ETH Zürich, Zürich, Switzerland.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Mar 13; Vol. 19 (3), pp. e0297627. Date of Electronic Publication: 2024 Mar 13 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0297627
Abstrakt: The growth of digital platforms has led to the proliferation of Online Communities, providing individuals with opportunities to seek help and share knowledge. A key challenge of help-related platforms that address technical questions (i.e., utilitarian, rather than opinion or supportive) is to ensure the contributions address seekers' specific information needs. Despite growing academic interest in such platforms, research has mainly focused on factors that influence the quantity of contributions, ignoring whether these contributions effectively helped the seekers. To fill this research gap, this study draws upon theories of self-determination and motivation crowding to examine contributing behaviors that result in successful helping. By analyzing a rich dataset collected from an online Q&A platform, we find that gains in a help provider's past rewards positively influence the success of contribution. Further, while previous studies suggest that external rewards result in a high quantity of contribution, our findings show that an inflated frequency of contribution leads to a crowding-out effect. Specifically, the contribution frequency has a curvilinear relationship with the success of the contribution. Taken together, these findings demonstrate there is a need to revisit the gamification mechanism on help-related platforms to ensure the success of knowledge contribution. This is crucial for the sustainability of these platforms as low-quality answers can lead users to mistrust and eventually leave the platform.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Krishna et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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