JOURNAL ARTICLE

Challenge Accepted: The Effects of Contest Participation on a User-Generated Content Community.

  • Published In: Manufacturing & Service Operations Management (M&SOM) (INFORMS), 2026, v. 28, n. 2. P. 421 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Claussen, Jörg; Halbinger, Maria A.; Zalmanson, Lior 3 of 3

Abstract

This article examines the effects of integrating firm-driven contests into established user-generated content (UGC) communities, focusing on the 3D printing platform Thingiverse. Using extensive data from 146,324 users and 589,093 designs over six years, the study finds that contest submissions receive significantly higher community reactions due to a "spotlight effect" and increased contestant effort. However, contest participation shifts users' future contributions away from general community content toward more contest-related submissions, resulting in an overall decline in total content volume. Additionally, contests encourage more exploratory and innovative content creation, suggesting that contests redirect user attention toward novel problem-solving domains. These findings offer nuanced insights for platform managers balancing content quantity and diversity, highlighting contests as tools to foster exploration but potentially at the expense of regular community engagement.

Additional Information

  • Source:Manufacturing & Service Operations Management (M&SOM) (INFORMS). 2026/03, Vol. 28, Issue 2, p421
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2026
  • ISSN:1523-4614
  • DOI:10.1287/msom.2022.0375
  • Accession Number:192159985
  • Copyright Statement:Copyright of Manufacturing & Service Operations Management (M&SOM) (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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