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Stimulating innovation by user feedback on social media: The case of an online user innovation community

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  • Ogink, Timko
  • Dong, John Qi

Abstract

With firms' increasing use of social media platforms, such as online user innovation communities (OUICs), customers are actively participating in firm-sponsored innovation activity by posting and commenting on new ideas for improving the firms' products and services, or to develop new ones. While it has been suggested that OUICs promote user interactions, it is largely unclear how other users' feedback may stimulate a focal user's contribution to such OUICs. Drawing on a media usage theory, we identify multifaceted benefits from user feedback that are cognitive, integrative and affective in the archival comments received by a focal user, and examine their individual and joint impacts on the user's future contribution in terms of both ideating and commenting behavior. We conduct a longitudinal study by collecting a large-scale, quantitative data set from a leading OUIC between 2008 and 2015, which reveals novel findings on the nuanced role of user feedback on social media in stimulating innovation.

Suggested Citation

  • Ogink, Timko & Dong, John Qi, 2019. "Stimulating innovation by user feedback on social media: The case of an online user innovation community," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 295-302.
    • Handle: RePEc:eee:tefoso:v:144:y:2019:i:c:p:295-302
    DOI: 10.1016/j.techfore.2017.07.029
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    1. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    2. Joel West & Karim Lakhani, 2008. "Getting Clear About Communities in Open Innovation," Industry and Innovation, Taylor & Francis Journals, vol. 15(2), pages 223-231.
    3. Satish Nambisan & Robert A. Baron, 2010. "Different Roles, Different Strokes: Organizing Virtual Customer Environments to Promote Two Types of Customer Contributions," Organization Science, INFORMS, vol. 21(2), pages 554-572, April.
    4. Samer Faraj & Sirkka L. Jarvenpaa & Ann Majchrzak, 2011. "Knowledge Collaboration in Online Communities," Organization Science, INFORMS, vol. 22(5), pages 1224-1239, October.
    5. Gebauer, Johannes & Füller, Johann & Pezzei, Roland, 2013. "The dark and the bright side of co-creation: Triggers of member behavior in online innovation communities," Journal of Business Research, Elsevier, vol. 66(9), pages 1516-1527.
    6. Dong, John Qi & Netten, Jork, 2017. "Information technology and external search in the open innovation age: New findings from Germany," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 223-231.
    7. Schemmann, Brita & Herrmann, Andrea M. & Chappin, Maryse M.H. & Heimeriks, Gaston J., 2016. "Crowdsourcing ideas: Involving ordinary users in the ideation phase of new product development," Research Policy, Elsevier, vol. 45(6), pages 1145-1154.
    8. Dong, John Qi & Yang, Chia-Han, 2016. "Being central is a double-edged sword: Knowledge network centrality and new product development in U.S. pharmaceutical industry," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 379-385.
    9. Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
    10. Chrysanthos Dellarocas, 2005. "Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard," Information Systems Research, INFORMS, vol. 16(2), pages 209-230, June.
    11. 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.
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    Cited by:

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    8. Su, Jingqin & Zhang, Yajie & Wu, Xianyun, 2023. "How market pressures and organizational readiness drive digital marketing adoption strategies' evolution in small and medium enterprises," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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