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Ideation through Online Open Innovation Platform: Dell IdeaStorm

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  • Mokter Hossain
  • K. Islam

Abstract

The objective of this study is to identify factors associated with idea selection and implementation through online open innovation platforms. Analyzing data of implemented ideas from Dell IdeaStorm platform, we found that only a small fraction of the submitted ideas is implementable. Consequently, firms tend to adopt targeted open innovation for idea generation on online platforms. The number of implementable ideas increases steadily overtime; whereas, the number of community members grows very fast. Sole ideas get implemented quicker than those of linked with other ideas. However, sole ideas need longer time, more comments, and points for implementation. Higher number of idea submissions from a member increases his/her chance to achieve more implementable ideas. Active members are involved not only with idea submission but also in various other tasks such as commenting and voting. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Mokter Hossain & K. Islam, 2015. "Ideation through Online Open Innovation Platform: Dell IdeaStorm," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(3), pages 611-624, September.
    • Handle: RePEc:spr:jknowl:v:6:y:2015:i:3:p:611-624
    DOI: 10.1007/s13132-015-0262-7
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    Cited by:

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    5. Jari Kolehmainen & Joe Irvine & Linda Stewart & Zoltan Karacsonyi & Tünde Szabó & Juha Alarinta & Anders Norberg, 2016. "Quadruple Helix, Innovation and the Knowledge-Based Development: Lessons from Remote, Rural and Less-Favoured Regions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 23-42, March.
    6. Lin, Jie & Wang, Chao & Zhou, Lixin & Jiang, Xiaoyan, 2022. "Converting consumer-generated content into an innovation resource: A user ideas processing framework in online user innovation communities," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    8. Mohammad Daradkeh, 2022. "The Relationship Between Persuasion Cues and Idea Adoption in Virtual Crowdsourcing Communities: Evidence From a Business Analytics Community," International Journal of Knowledge Management (IJKM), IGI Global, vol. 18(1), pages 1-34, January.

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