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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.<\/jats:p>","DOI":"10.3233\/jifs-169623","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T12:01:34Z","timestamp":1530878494000},"page":"2711-2720","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Factors influencing user usage intention on intelligent logistics information platform"],"prefix":"10.1177","volume":"35","author":[{"given":"Haiwei","family":"Fu","sequence":"first","affiliation":[{"name":"Ningbo University of Technology, International Port and Logistics Research Center, Ningbo, China"}]}],"member":"179","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"105","volume":"81","author":"McFarlane D.","year":"2016","unstructured":"D.McFarlane, V.Giannikas and W.Lu, Intelligent logistics: Involving the customer, Computers in 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