人气
说服
用户创新
精化可能性模型
现象
开放式创新
知识管理
逻辑回归
介绍(产科)
计算机科学
业务
营销
心理学
放射科
物理
机器学习
社会心理学
医学
量子力学
作者
LI Ming-guo,Atreyi Kankanhalli,Seung Hyun Kim
标识
DOI:10.1016/j.dss.2016.01.004
摘要
Online user innovation communities are increasingly being deployed by firms to garner innovation ideas from customers or users. However, very few ideas from such communities are successful in getting selected for implementation by the host firm. Given the limited understanding of the phenomenon, this study examines the determinants of firms' implementation of customers' ideas from user innovation communities. Drawing on theories of message persuasion and cognitive overload, we develop a conceptual model to explain how the likelihood of idea implementation is affected by the characteristics of its contributor as well as the characteristics of a submitted idea and its presentation. Specifically, we study the effects of the contributor's prior participation and prior implementation rate, as well as the idea's popularity, length, and supporting evidence on the idea's implementation likelihood. Our model is validated through logistic regression on a secondary dataset of 19,964 user ideas collected from two large user innovation websites, Salesforce.com IdeaExchange and Dell IdeaStorm. The results show significant impacts of these characteristics on idea implementation likelihood and also reveal important differences in their effects for hybrid (i.e., Dell IdeaStorm) versus professional (i.e., Salesforce.com IdeaExchange) user innovation communities.
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