Product design crowdsourcing in a dual‐channel supply chain: joint reviews from manufacturer and consumers

Product design crowdsourcing in a dual‐channel supply chain: joint reviews from manufacturer and consumers
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双渠道供应链中的产品设计众包:制造商和消费者的联合评审

DOI:
10.1111/itor.12749
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发表时间:
2019-12
影响因子:
3.1
通讯作者:
Chunling Liu
Chunling Liu
中科院分区:
管理学3区
文献类型:
--
作者:
Jizi Li;Yue Yu;Chunling Liu

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众包作为一种聚集大众智慧进行新产品开发的有效模式,近年来备受关注。本文研究了一个制造商和一个零售商的双渠道供应链中众包的联合在线评论问题。制造商定制的产品分为众包产品(CPs)和非众包产品(ncp)两种,分别由众包员工和公司内部员工设计。我们制定了一种由一群做出效用最大化选择的消费者组成的实用新型。利用该模型构建了分散和集中两种设置下的联合在线评审相关供应链框架,找出众包方案在投入生产前被接受的联合在线评审条件,推导出众包方案和新众包方案的最优需求、最优价格和评审水平。在此基础上,对没有在线评论、只有消费者在线评论、制造商和消费者共同在线评论三种场景进行对比研究,考察众包、在线评论以及两者的互动对供应链绩效的影响。结果表明,尽管公众舆论认为众包定制程度的增加促进了众包设计的广泛采用,但我们发现一些条件阻碍了企业实施众包设计。同时,在不同的在线评论与决策设置组合中,只有在联合在线评论和集中设置中,选择众包设计的目标才与整个供应链的利润最大化相一致。此外,当定制度比例处于中等水平时,即使CP需求低于NCP,制造商和零售商从CP获得的收益也高于从NCP获得的收益。
As an effective paradigm to aggregate a crowd's wisdom for new product development, crowdsourcing has attracted much attention in recent years. This paper investigates the issue of joint online reviews on crowdsourcing in a dual‐channel supply chain with one manufacturer and one retailer. The manufacturer makes customized products of two types: crowdsourcing products (CPs) and noncrowdsourcing products (NCPs), designed by crowdsourcees and the interfirm employees, respectively. We formulate a utility model composed of a pool of consumers who make utility maximizing choices. Utilizing this model, a supply chain framework related toex antejoint online reviews is developed under the decentralized and centralized setting, to find the joint online review conditions under which the crowdsourcing solutions are accepted prior to putting into production, then derive the CP's and NCP's optimal demand and price and review level. Furthermore, comparison study is conducted concerning the three scenarios: without any online reviews, with only online reviews from consumers, and with joint online reviews from manufacturer and consumers, to examine the impacts of crowdsourcing, online reviews, and both interactions on supply chain performance. The results show, although public opinion suggests that increase in crowdsourcing customized degree facilitates widespread adoption of crowdsourcing design, we find some conditions impede firms from implementing it. Meanwhile, among different combinations of online reviews and decision‐making settings, only in joint online reviews and centralized setting, the objective of selecting crowdsourcing design is aligned to maximizing the total supply chain's profit. Additionally, when the customized degree ratio is at a medium level, even if the CP demand is less than NCP, the manufacturer and the retailer gain more payoffs from CPs than from NCPs.
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