Adaptive decoupling planning method for the product crowdsourcing design tasks based on knowledge reuse

Gao, Xiaoxie; Feng, Yixiong; Zhang, Hong; Mi, Shanghua; Tan, Jiyuan

doi:10.1016/j.eswa.2022.117525

Cited by 5 publications

(1 citation statement)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Crowdsourcing has been implemented in both business-to-consumer (B2C) and business-tobusiness (B2B) markets (Gao et al, 2022). It helps firms effectively embed potential consumers' ideas into their innovation tasks.…”

Section: Introductionmentioning

confidence: 99%

Optimal Information Acquisition and Sharing Decisions

Li,

Wang,

Zhang

et al. 2024

Journal of Database Management

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%