Empirical Analysis of Shared Logistics Platform Users’ Willingness to Consistently Use

Shengyuan Wang and Zhitong Zhu ()
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Shengyuan Wang: Liaoning Technical University, Department of Media and Arts
Zhitong Zhu: Liaoning Technical University, Department of Marketing Management

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 396-412 from Springer

Abstract: Abstract In recent years, the fierce homogenization competition of shared logistics platforms has resulted in a serious loss of users, and users, especially owners, have low stickiness to shared logistics platforms. In this paper, an improved expectation-validation model is established, and two variables, user interface, and perceived safety; are introduced to verify and explain the factors affecting the continuous use of shared logistics platforms by shippers. The empirical analysis was carried out with 312 experienced owners of the shared logistics platform as sample data. The results show that the two variables, user interface, and perceived safety, have a positive moderating effect on users’ satisfaction with using the platform; and then affect their willingness to continue using the platform. Perceived usefulness has a positive moderating effect on users’ willingness to continue using. Based on this, suggestions and countermeasures to improve user stickiness and realize the sustainable development of shared logistics platforms are put forward.

Keywords: Shared logistics platform; Information technology; Expectation Confirmation model; Continued use (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_41

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DOI: 10.2991/978-94-6463-256-9_41

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