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The effects of task instructions in crowdsourcing innovative ideas

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  • Gillier, Thomas
  • Chaffois, Cédric
  • Belkhouja, Mustapha
  • Roth, Yannig
  • Bayus, Barry L.

Abstract

The existing literature offers conflicting advice regarding the types of task instructions that increase the quality of ideas during idea generation. Our research examines three types of task instructions: unbounded (participants are asked to generate any ideas they want), suggestive (participants are asked to propose ideas that improve current product benefits), and prohibitive (participants are asked to propose ideas that do not involve current product benefits). We explore the effectiveness of these three types of task instructions in a field study involving 6406 ideas from eYeka, a global crowdsourcing platform. As compared to unbounded task instructions, we find that suggestive task instructions are significantly related to lower idea originality, feasibility, and value. In addition, we find that idea originality and value are statistically equivalent for unbounded and prohibitive task instructions. Together, our results suggest that either unbounded or prohibitive task instructions should be used when crowdsourcing innovative ideas.

Suggested Citation

  • Gillier, Thomas & Chaffois, Cédric & Belkhouja, Mustapha & Roth, Yannig & Bayus, Barry L., 2018. "The effects of task instructions in crowdsourcing innovative ideas," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 35-44.
  • Handle: RePEc:eee:tefoso:v:134:y:2018:i:c:p:35-44
    DOI: 10.1016/j.techfore.2018.05.005
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    References listed on IDEAS

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    Cited by:

    1. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Fu, Shihui & Sun, Yi & Gao, Xue, 2022. "Balancing openness and control to improve the performance of crowdsourcing contests for product innovation: A configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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