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Crowdsourcing Intermediaries And Problem Typologies: An Explorative Study

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  • GABRIELE COLOMBO

    (Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Via Lambruschini 4/b – 20156, Milano, Italy)

  • TOMMASO BUGANZA

    (Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Via Lambruschini 4/b – 20156, Milano, Italy)

  • ILSE-MARIA KLANNER

    (Institute for Entrepreneurship and Innovation and Vienna User Innovation Research Initiative, WU Wirtschaftsuniversität Wien, Vienna University of Economics and Business, Nordbergstr. 15, A-1090 Vienna, Austria)

  • SUSANNE ROISER

    (Institute for Entrepreneurship and Innovation and Vienna User Innovation Research Initiative, WU Wirtschaftsuniversität Wien, Vienna University of Economics and Business, Nordbergstr. 15, A-1090 Vienna, Austria)

Abstract

Web-based intermediaries that offer crowdsourcing services represent a new and promising way through which firms can leverage the power of a crowd to sustain their innovation performance. However, limited attention has been devoted thus far to understanding the relationship between the intermediaries architecture, i.e., how they deliver their service, and the innovation problems they are designed to solve. Based on an empirical base of 7 in-depth case studies, two distinct architectures, namely competition and competence searching, will be described in the paper; it will be demonstrated that each type is designed to solve specific classes of innovation problems. The paper presents important implications both for firms and web-based intermediaries. On the one hand, firms should collaborate with the web-based intermediary which presents the architecture that best fits the innovation problem to be solved. On the other hand, web-based intermediaries should be designed in coherence with the problems at hand.

Suggested Citation

  • Gabriele Colombo & Tommaso Buganza & Ilse-Maria Klanner & Susanne Roiser, 2013. "Crowdsourcing Intermediaries And Problem Typologies: An Explorative Study," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-24.
    • Handle: RePEc:wsi:ijimxx:v:17:y:2013:i:02:n:s1363919613500059
    DOI: 10.1142/S1363919613500059
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    References listed on IDEAS

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    1. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, April.
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    Cited by:

    1. Schenk, Eric & Guittard, Claude & Pénin, Julien, 2019. "Open or proprietary? Choosing the right crowdsourcing platform for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 303-310.
    2. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    3. Gabriele Colombo & Claudio Dell’Era & Federico Frattini & Paolo Landoni, 2016. "Understanding Virtual Knowledge Brokers And Their Differences With Traditional Ones," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-23, January.
    4. Julia Troll & Ivo Blohm & Jan Marco Leimeister, 2019. "Why Incorporating a Platform-Intermediary can Increase Crowdsourcees’ Engagement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 433-450, August.

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