IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v43y2018icp52-68.html
   My bibliography  Save this article

Good to Be Novel? Understanding How Idea Feasibility Affects Idea Adoption Decision Making in Crowdsourcing

Author

Listed:
  • Chan, Kimmy Wa
  • Li, Stella Yiyan
  • Zhu, John Jianjun

Abstract

Soliciting novel ideas from the crowd is a paradigm shift for innovation that gains increasing attention from researchers and practitioners. However, studies examining the relationship between the novelty of crowdsourced ideas and firms' idea adoption decisions are surprisingly rare. This research adopts the path-of-least-resistance (POLR) theory as a new theoretical angle to examine the role of idea feasibility as a key heuristic cue mediating the effect of idea novelty on adoption decisions. We further explore factors that may amplify or mitigate this mediation. Using data collected from a laboratory experiment and a firm-sponsored crowdsourcing community, we reveal that firms tend to follow the POLR by using idea feasibility as meta-information to evaluate novel ideas in their idea adoption decisions. However, this tendency depends on external stimuli and constraints, such that the mediation of idea feasibility exists only when idea favorability from the crowd is low or when an ideator's prior ideation participation is high. Our supplementary study further offers preliminary insights on the extension of our proposed effects to the ultimate success of adopted ideas. These findings illuminate a better understanding of firms' idea adoption decisions and suggest ways to manage idea crowdsourcing effectively for new product/service development and improvements.

Suggested Citation

  • Chan, Kimmy Wa & Li, Stella Yiyan & Zhu, John Jianjun, 2018. "Good to Be Novel? Understanding How Idea Feasibility Affects Idea Adoption Decision Making in Crowdsourcing," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 52-68.
    • Handle: RePEc:eee:joinma:v:43:y:2018:i:c:p:52-68
    DOI: 10.1016/j.intmar.2018.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996818300045
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intmar.2018.01.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Margarethe F. Wiersema & Harry P. Bowen, 2009. "The use of limited dependent variable techniques in strategy research: issues and methods," Strategic Management Journal, Wiley Blackwell, vol. 30(6), pages 679-692, June.
    2. Ethan Mollick & Ramana Nanda, 2016. "Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts," Management Science, INFORMS, vol. 62(6), pages 1533-1553, June.
    3. Andrew H. Van de Ven, 1986. "Central Problems in the Management of Innovation," Management Science, INFORMS, vol. 32(5), pages 590-607, May.
    4. Anjana Susarla & Jeong-Ha Oh & Yong Tan, 2012. "Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube," Information Systems Research, INFORMS, vol. 23(1), pages 23-41, March.
    5. Marcelo Ferioli & Elies Dekoninck & Steve Culley & Benoit Roussel & Jean Renaud, 2010. "Understanding the rapid evaluation of innovative ideas in the early stages of design," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 12(1), pages 67-83.
    6. Chan, Kimmy Wa & Li, Stella Yiyan & Zhu, John Jianjun, 2015. "Fostering Customer Ideation in Crowdsourcing Community: The Role of Peer-to-peer and Peer-to-firm Interactions," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 42-62.
    7. Van de Ven, Andrew R., 1986. "Central Problems in the Management of Innovation," Agricultural Research Policy Seminar 139708, University of Minnesota Extension.
    8. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    9. C. Page Moreau & Darren W. Dahl, 2005. "Designing the Solution: The Impact of Constraints on Consumers' Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 13-22, June.
    10. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    11. Bob Kijkuit & Jan Van Den Ende, 2007. "The Organizational Life of an Idea: Integrating Social Network, Creativity and Decision‐Making Perspectives," Journal of Management Studies, Wiley Blackwell, vol. 44(6), pages 863-882, September.
    12. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    13. Li, Quan & Reuveny, Rafael, 2003. "Economic Globalization and Democracy: An Empirical Analysis," British Journal of Political Science, Cambridge University Press, vol. 33(1), pages 29-54, January.
    14. Olivier Toubia & Oded Netzer, 2017. "Idea Generation, Creativity, and Prototypicality," Marketing Science, INFORMS, vol. 36(1), pages 1-20, January.
    15. Laura J. Kornish & Jeremy Hutchison‐Krupat, 2017. "Research on Idea Generation and Selection: Implications for Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 633-651, April.
    16. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    17. Karan Girotra & Christian Terwiesch & Karl T. Ulrich, 2010. "Idea Generation and the Quality of the Best Idea," Management Science, INFORMS, vol. 56(4), pages 591-605, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, John Jianjun & Chang, Yung-Chun & Ku, Chih-Hao & Li, Stella Yiyan & Chen, Chi-Jen, 2021. "Online critical review classification in response strategy and service provider rating: Algorithms from heuristic processing, sentiment analysis to deep learning," Journal of Business Research, Elsevier, vol. 129(C), pages 860-877.
    2. Chen, Qian & Magnusson, Mats & Björk, Jennie, 2023. "Selection bias of ideas for sustainability-oriented innovation in internal crowdsourcing," Technovation, Elsevier, vol. 124(C).
    3. Mourelatos, Evangelos, 2021. "Personality and Ethics on Online Labor Markets: How mood influences ethical perceptions," EconStor Preprints 244735, ZBW - Leibniz Information Centre for Economics.
    4. Deichmann, Dirk & Gillier, Thomas & Tonellato, Marco, 2021. "Getting on board with new ideas: An analysis of idea commitments on a crowdsourcing platform," Research Policy, Elsevier, vol. 50(9).
    5. Piazza, Mariangela & Mazzola, Erica & Perrone, Giovanni, 2022. "How can I signal my quality to emerge from the crowd? A study in the crowdsourcing context," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Yuan-Wei Du & Yu-Kun Shan, 2021. "A Dynamic Intelligent Recommendation Method Based on the Analytical ER Rule for Evaluating Product Ideas in Large-Scale Group Decision-Making," Group Decision and Negotiation, Springer, vol. 30(6), pages 1373-1393, December.
    7. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    8. Qian Liu & Zhengfa Yang & Xiaofang Cai & Qianzhou Du & Weiguo Fan, 2022. "The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 376-392, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Niek Althuizen & Bo Chen, 2022. "Crowdsourcing Ideas Using Product Prototypes: The Joint Effect of Prototype Enhancement and the Product Design Goal on Idea Novelty," Management Science, INFORMS, vol. 68(4), pages 3008-3025, April.
    2. Schweisfurth, Tim G., 2017. "Comparing internal and external lead users as sources of innovation," Research Policy, Elsevier, vol. 46(1), pages 238-248.
    3. Chan, Kimmy Wa & Li, Stella Yiyan & Zhu, John Jianjun, 2015. "Fostering Customer Ideation in Crowdsourcing Community: The Role of Peer-to-peer and Peer-to-firm Interactions," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 42-62.
    4. Sophie Hooge & Milena Klasing Chen & Dominique Laousse, 2019. "Managing the emergence of concepts in fuzzy front end: a framework of strategic performance and emerging process of innovation briefs," Post-Print hal-02167857, HAL.
    5. Thomas Clauss & Thomas Niemand & Sascha Kraus & Patrick Schnetzer & Alexander Brem, 2019. "Increasing Crowdfunding Success Through Social Media: The Importance Of Reach And Utilisation In Reward-Based Crowdfunding," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 1-30, May.
    6. Laura J. Kornish & Jeremy Hutchison‐Krupat, 2017. "Research on Idea Generation and Selection: Implications for Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 633-651, April.
    7. Simon, Fanny & Tellier, Albéric, 2011. "How do actors shape social networks during the process of new product development?," European Management Journal, Elsevier, vol. 29(5), pages 414-430.
    8. Christoph H. Loch, 2017. "Creativity and Risk Taking Aren't Rational: Behavioral Operations in MOT," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 591-604, April.
    9. 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.
    10. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    11. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Tat Koon Koh & Muller Y. M. Cheung, 2022. "Seeker Exemplars and Quantitative Ideation Outcomes in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 33(1), pages 265-284, March.
    13. Sze-Sze Wong & Wai Fong Boh, 2014. "The Contingent Effects of Social Network Sparseness and Centrality on Managerial Innovativeness," Journal of Management Studies, Wiley Blackwell, vol. 51(7), pages 1180-1203, November.
    14. Sophie Hooge & Milena Klasing Chen & Dominique Laousse, 2018. "Dynamics of innovative concepts in exploratory projects: managing consistency between originality, collaboration and strategy," Post-Print hal-01900545, HAL.
    15. Mohan, Mayoor & Voss, Kevin E. & Jiménez, Fernando R., 2017. "Managerial disposition and front-end innovation success," Journal of Business Research, Elsevier, vol. 70(C), pages 193-201.
    16. Dovev Lavie & Israel Drori, 2012. "Collaborating for Knowledge Creation and Application: The Case of Nanotechnology Research Programs," Organization Science, INFORMS, vol. 23(3), pages 704-724, June.
    17. Fanny Simon & Albéric Tellier, 2011. "How do actors shape social networks during the process of new product development?," Post-Print hal-01572294, HAL.
    18. Christina E. Shalley & Lucy L. Gilson, 2017. "Creativity and the Management of Technology: Balancing Creativity and Standardization," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 605-616, April.
    19. Xavier Castañer, 2016. "Redefining Creativity And Innovation In Organisations: Suggestions For Redirecting Research," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-23, May.
    20. Rooderkerk, Robert P. & Pauwels, Koen H., 2016. "No Comment?! The Drivers of Reactions to Online Posts in Professional Groups," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 1-15.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joinma:v:43:y:2018:i:c:p:52-68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.