Optimal Information Acquisition and Sharing Decisions
Author:
Affiliation:
1. Wuhan University of Science and Technology, China
2. Huazhong University of Science and Technology, China
3. University of North Florida, USA
4. Fudan University, China
Abstract
The acquisition and sharing of reviews have significant ramifications for the selection of crowdsourcing designs before mass production. This article studies the optimal decision of a brand enterprise regarding the acquisition/sharing of crowdsourcing design reviews in a supply chain. The authors consider an analytical model where the brand enterprise can privately acquire the manufacturer's review (MR) of crowdsourcing product designs and choose one of two information-sharing schemes—optional or mandatory sharing—to disclose MR to the key opinion leaders (KOLs), which help them to produce fans' reviews (FR). MR and FR integrate into the joint reviews (JR) that impact prospective consumers' purchase intention. The authors find that mandatory sharing significantly harms the brand enterprise's motivation to obtain MR, yet optional sharing is conducive to boosting JR on crowdsourcing designs. In addition, JR has a ceiling value, implying that excessively high FR and MR could not always enhance the effect of JR on crowdsourcing designs.
Publisher
IGI Global
Reference48 articles.
1. The Acquisition of Quality Information in a Supply Chain with Voluntary vs. Mandatory Disclosure
2. What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation
3. Effect of Crowd Voting on Participation in Crowdsourcing Contests
4. Costly Information Disclosure in Oligopoly
5. Selection of crowdsourcing formats: simultaneous contest vs sequential contest
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