Study on Users’ Adoption Behavior for Internet Chauffeured Car - Volume 8 Number 2 (Jun. 2018) - IJEEEE
Volume 8 Number 2 (Jun. 2018)
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IJEEEE 2018 Vol.8(2): 82-90 ISSN: 2010-3654
doi: 10.17706/ijeeee.2018.8.2.82-90

Study on Users’ Adoption Behavior for Internet Chauffeured Car

Yongbo Jiang, Wenlong Zhu
Abstract—Internet chauffeured car (abbreviated as ICC) appears under the background of wisdom traffic. It is one of representatives of the closed-loop O2O mode, but research about its users’ adoption behavior is not rich. Our study is based on the user’s view. Firstly, we construct a conceptual model about the influencing factors of ICC users’ adoption behavior by introducing unified theory of acceptance and use of technology (UTAUT) integrating with perceived risk theory and habit theory. Secondly, we use structural equation model (SEM) to analyze the factors’ influencing direct and extent. Results show that performance expectancy, effort expectancy and social influence prompt the formation of ICC users’ adoption intention significantly; perceived risk hampers the formation of adoption intention significantly; but the expected inhibiting effect of perceived cost on adoption intention is not significant. As for adoption behavior, facilitating conditions and adoption intention have markedly prompting effect, and habit has notable moderating effect. The results can provide some reference for platforms to promote their service and make related management policies.

Index Terms—Adoption behavior, influencing factors, internet chauffeured car, UTAUT, habit.

The authors are with School of Business, Qingdao University of Technology, Qingdao, Shandong, China (email: pupple@163.com).

Cite: Yongbo Jiang, Wenlong Zhu, "Study on Users’ Adoption Behavior for Internet Chauffeured Car," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 8, no. 2, pp. 82-90, 2018.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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