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

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, 244 . Article Number 108366. ISSN 0925-5273. (doi:10.1016/j.ijpe.2021.108366) (KAR id:91995)

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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.

Item Type: Article
DOI/Identification number: 10.1016/j.ijpe.2021.108366
Uncontrolled keywords: User community, lead user, idea selection, crowdsourcing, platform
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Mu Yang
Date Deposited: 03 Dec 2021 15:50 UTC
Last Modified: 01 Jun 2023 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91995 (The current URI for this page, for reference purposes)

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