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    Lead users as idea supplier in online community platform: How to choose the right ideas to implement?

    Yang, M. and Ooi, Y.M. and 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 244 , p. 108366. ISSN 0925-5273.

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    Abstract

    Crowdsourcing ideas from users in online communities are becoming common practice in the development of high-tech products. While most studies focus on sourcing ideas from ordinary users (i.e., non-experts), high-tech firms commonly rely more on ‘lead users’. Despite the importance of lead users' peer-evaluation activities on a firm's user community platform, research on the relationship between these activities and a firm's actual implementation decision is scarce. We draw on lead user theory and a large dataset from a high-tech firm's platform to examine whether an idea's popularity, the comments it receives and sentiment are good predictors of a firm's consideration and implementation decisions. We find that in addition to the number of votes and comments, sentiment is a predictor of an idea's further development and implementation. Furthermore, implementing a lead user's ideas decreases the user's motivation marginally to contribute continuously to the platform. These findings have implications for the design and operations management of user community platforms.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): User community, Lead user, Idea selection, Crowdsourcing Platform
    School: School of Business, Economics & Informatics > Management
    Depositing User: Chunjia Han
    Date Deposited: 14 Mar 2022 14:05
    Last Modified: 07 Jun 2022 09:10
    URI: https://eprints.bbk.ac.uk/id/eprint/47580

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