IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v174y2022ics0040162521007009.html
   My bibliography  Save this article

Converting consumer-generated content into an innovation resource: A user ideas processing framework in online user innovation communities

Author

Listed:
  • Lin, Jie
  • Wang, Chao
  • Zhou, Lixin
  • Jiang, Xiaoyan

Abstract

An Online User Innovation Community (OUIC) is a space for consumers to share product usage experiences and put forward product improvement suggestions. However, as an increasing number of consumers post content in OUICs, companies face information processing challenges. Based on Organizational Information Processing Theory (OIPT), this study proposes a User Ideas Processing Framework (UIPF) to help enterprises efficiently process user ideas in OUICs and then applies it to a sample of 5,889 ideas from the Salesforce Idea Exchange. The case study results show that a UIPF can solve the information overload problem. Specifically, in Part 1 of the UIPF, we propose a new IDEA vectorization method and use it to cluster user ideas. Then, theme analysis is conducted on clusters to summarize the idea content in OUICs. This step gives us an overview of the information in OUICs. Compared with the standardized methods, our IDEA vectorization method can obtain better clustering results. Then, Part 2 of the UIPF builds a logistic regression model to identify innovative ideas from clusters. Compared with the famous “3C” method, the innovative ideas selected by the UIPF are more suitable for consumer requirements. In conclusion, the UIPF can help enterprises process information efficiently in OUICs.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521007009
    DOI: 10.1016/j.techfore.2021.121266
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521007009
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121266?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. Sarah Zelt & Jan Recker & Theresa Schmiedel & Jan vom Brocke, 2018. "Development and validation of an instrument to measure and manage organizational process variety," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-25, October.
    2. Robert W. Zmud, 1979. "Individual Differences and MIS Success: A Review of the Empirical Literature," Management Science, INFORMS, vol. 25(10), pages 966-979, October.
    3. Guy Parmentier, 2015. "How to innovate with a brand community," Post-Print halshs-01344680, HAL.
    4. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    5. Olmedilla, M. & Send, H. & Toral, S.L., 2019. "Identification of the unique attributes and topics within Smart Things Open Innovation Communities," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 133-147.
    6. 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.
    7. 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.
    8. 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.
    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. Liu, Jialing & Wei, Jiang & Liu, Yang & Jin, Duo, 2022. "How to channel knowledge coproduction behavior in an online community: Combining machine learning and narrative analysis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

    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. Liao, Junyun & Chen, Jiawen & Mou, Jian, 2021. "Examining the antecedents of idea contribution in online innovation communities: A perspective of creative self-efficacy," Technology in Society, Elsevier, vol. 66(C).
    2. Lars Hornuf & Sabrina Jeworrek, 2018. "How Community Managers Affect Online Idea Crowdsourcing Activities," CESifo Working Paper Series 7153, CESifo.
    3. Boons, Mark & Stam, Daan, 2019. "Crowdsourcing for innovation: How related and unrelated perspectives interact to increase creative performance," Research Policy, Elsevier, vol. 48(7), pages 1758-1770.
    4. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    5. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2022. "Open and Crowd-Based Platforms: Impact on Organizational and Market Performance," Sustainability, MDPI, vol. 14(4), pages 1-26, February.
    6. Hornuf, Lars & Jeworrek, Sabrina, 2018. "Crowdsourced innovation: How community managers affect crowd activities," IWH Discussion Papers 13/2018, Halle Institute for Economic Research (IWH).
    7. Yang, Mu & Ooi, Yat Ming & Han, Chunjia, 2022. "Lead users as idea supplier in online community platform: How to choose the right ideas to implement?," International Journal of Production Economics, Elsevier, vol. 244(C).
    8. Dahlander, Linus & Beretta, Michela & Thomas, Arne & Kazemi, Shahab & Fenger, Morten H.J. & Frederiksen, Lars, 2023. "Weeding out or picking winners in open innovation? Factors driving multi-stage crowd selection on LEGO ideas," Research Policy, Elsevier, vol. 52(10).
    9. Elia, Gianluca & Messeni Petruzzelli, Antonio & Urbinati, Andrea, 2020. "Implementing open innovation through virtual brand communities: A case study analysis in the semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    10. Ghasemzadeh, Khatereh & Bortoluzzi, Guido & Yordanova, Zornitsa, 2022. "Collaborating with users to innovate: A systematic literature review," Technovation, Elsevier, vol. 116(C).
    11. 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.
    12. Foege, J. Nils & Lauritzen, Ghita Dragsdahl & Tietze, Frank & Salge, Torsten Oliver, 2019. "Reconceptualizing the paradox of openness: How solvers navigate sharing-protecting tensions in crowdsourcing," Research Policy, Elsevier, vol. 48(6), pages 1323-1339.
    13. Yang, Mu & Han, Chunjia, 2021. "Stimulating innovation: Managing peer interaction for idea generation on digital innovation platforms," Journal of Business Research, Elsevier, vol. 125(C), pages 456-465.
    14. Olmedilla, M. & Send, H. & Toral, S.L., 2019. "Identification of the unique attributes and topics within Smart Things Open Innovation Communities," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 133-147.
    15. 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).
    16. 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.
    17. 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.
    18. Francesco Cappa & Federica Rosso & Darren Hayes, 2019. "Monetary and Social Rewards for Crowdsourcing," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    19. Cappa, Francesco & Oriani, Raffaele & Pinelli, Michele & De Massis, Alfredo, 2019. "When does crowdsourcing benefit firm stock market performance?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    20. Jiatong Yu & Jiajue Wang & Taesoo Moon, 2022. "Influence of Digital Transformation Capability on Operational Performance," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    21. Douglas Cumming & Lars Hornuf & Moein Karami & Denis Schweizer, 2023. "Disentangling Crowdfunding from Fraudfunding," Journal of Business Ethics, Springer, vol. 182(4), pages 1103-1128, February.

    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:tefoso:v:174:y:2022:i:c:s0040162521007009. 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: http://www.sciencedirect.com/science/journal/00401625 .

    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.