Exploring factors affecting the adoption of users' adoption intention: an integration of information intervention and cognition of internet logistic information platform
by Liang Xiao; Ye-Ping Pan; Yu-Wen Xu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 13, No. 1, 2017

Abstract: This study develops and empirically tests a user adoption model of internet logistic information platform. From the perspective of information intervention, through questionnaire of logistics enterprises, influence mechanism that different types of information intervention on user adoption intention of internet logistic information platform have been systematically studied. In particular, this study is based on systematic definition and measurement of four independent information intervention variables (i.e., news propaganda, platform training, platform open source, and information input) and three intermediate variables (i.e., strategic value perception, operational value perception and implementation cost perception). The results indicate that the impacts of different types of the information intervention on the logistics enterprises in the adoption intention of logistics information platform have significant differences. Furthermore, information input has a much stronger impact than platform training and platform open source, news propaganda has the minimum impact.

Online publication date: Fri, 13-Oct-2017

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