Yang, Mu 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.
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: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Depositing User: | Chunjia Han |
| Date Deposited: | 14 Mar 2022 14:05 |
| Last Modified: | 02 Aug 2023 18:15 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/47580 |
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