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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Authors: Fu, Haiwei; *
Affiliations: Ningbo University of Technology, International Port and Logistics Research Center, Ningbo, China
Correspondence: [*] Corresponding author. Haiwei Fu, International Port and Logistics Research Center, Ningbo University of Technology, Ningbo, China. E-mail: [email protected].
Abstract: The application of an intelligent logistics information platform has promoted the development of logistics informatization, and how user usage intention can be improved is an important link for accelerating the promotion of the intelligent logistics information platform. The influencing factor model of user usage intention on an intelligent logistics information platform was developed based on the technology acceptance model, and empirical verification was performed for research hypotheses based on a questionnaire survey to identify the key factors that influence user usage intention and the influencing paths. Results show that information resource, management service, and platform technology have significantly positive influences on user perceived usefulness (PU); management service, platform technology, and application effect have significantly positive influences on perceived ease of use (PEOU); PEOU has a prominently positive influence on PU; and PEOU and PU have significantly positive influences on user usage intention. On this basis, suggestions for optimizing intelligent logistics information platform were proposed.
Keywords: Intelligent logistics information platform, user usage intention, influencing factors, technology acceptance model
DOI: 10.3233/JIFS-169623
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2711-2720, 2018
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