PACIS 2020 Proceedings
Abstract
In this in-progress paper, we theoretically analyzed the antecedents of the user’s intention to share big data with firms. Specifically, apart from the existing influences from extrinsic incentives, enjoyment, community recognition and trust to platform, this study makes an argument of the moderating effects of user type, in which a lead user will be more likely to share the data with firms. A research model is proposed.
Recommended Citation
Xie, Kang; Hu, Yangsong; and Xiao, Jinghua, "Antecedents of User’s Intention to Share Big Data The influence of User Type1" (2020). PACIS 2020 Proceedings. 20.
https://aisel.aisnet.org/pacis2020/20
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