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Enhancing Crowdsourcing Success: the Role of Creative and Deliberate Problem-Solving Styles

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  • Dominik Mahr
  • Aric Rindfleisch
  • Rebecca Slotegraaf

Abstract

A growing number of firms are using crowdsourcing platforms to actively solicit the skills of external entities to help them solve innovation-related problems. Despite its increasing popularity, crowdsourcing has produced mixed success, because few external experts provide helpful solutions. The current research examines this issue by exploring why some external solvers are more successful than others. Grounded in dual-processing theory, this study combines survey and archival data to assess the impact of creative versus deliberate problem-solving styles on solving success. The results indicate that both styles can be effective, but their relative success depends on the amount of time a solver invests in a solution and his or her degree of contextual familiarity with the problem. Specifically, creative (deliberate) styles are more effective under conditions of high (low) contextual familiarity and shorter (longer) time investments. When solvers employ both styles, overall problem-solving success declines. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Dominik Mahr & Aric Rindfleisch & Rebecca Slotegraaf, 2015. "Enhancing Crowdsourcing Success: the Role of Creative and Deliberate Problem-Solving Styles," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(3), pages 209-221, September.
    • Handle: RePEc:spr:custns:v:2:y:2015:i:3:p:209-221
    DOI: 10.1007/s40547-015-0038-z
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    Cited by:

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    2. Yiwei Gong, 2017. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 19(2), pages 301-319, April.
    3. Xu, Yanjing & Zhu, Jianming & Mou, Jian, 2021. "Factors influencing bid-winning performance in mixed crowdsourcing: The persuasive effect of credible information sources," Technology in Society, Elsevier, vol. 65(C).
    4. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    5. Yiwei Gong, 0. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    6. Dong Kunxiang & Sun Yan & Xie Zongxiao & Zhen Jie, 2020. "How to Bid Success in Crowdsourcing Contest? ― Evidence from the Translation Tasks of Tripadvisor," Journal of Systems Science and Information, De Gruyter, vol. 8(2), pages 170-184, April.

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