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The Influence of Continuous Improvement of Public Car-Sharing Platforms on Passenger Loyalty: A Mediation and Moderation Analysis

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  • Fei Ma

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Youth Innovation Team of Shaanxi Universities, Chang’an University, Xi’an 710064, China)

  • Dan Guo

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Youth Innovation Team of Shaanxi Universities, Chang’an University, Xi’an 710064, China)

  • Kum Fai Yuen

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Qipeng Sun

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Youth Innovation Team of Shaanxi Universities, Chang’an University, Xi’an 710064, China)

  • Fuxia Ren

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Youth Innovation Team of Shaanxi Universities, Chang’an University, Xi’an 710064, China)

  • Xiaobo Xu

    (School of Business Administration, American University of Sharjah, Sharjah 26666, UAE)

  • Chengyong Zhao

    (School of Economics and Management, Chang’an University, Xi’an 710064, China
    Youth Innovation Team of Shaanxi Universities, Chang’an University, Xi’an 710064, China)

Abstract

Public car-sharing is a growing business model that contributes to sustainable transportation and urban development. The continuous improvement of public car-sharing platform to garner passenger loyalty is vital for a car-sharing platform’s success. This study applied perceived value theory, trust theory, and transaction cost theory to construct a structural equation model in order to explain passenger loyalty. Data from 755 surveys were collected using stratified sampling in mainland China. The estimated results of the theoretical model show that the relationship between continuous improvement and passenger loyalty is mediated by passenger perceived value, passenger trust, and transaction costs. Consequently, a multi-group analysis is conducted to analyze the moderation effects of passenger’s license and car-sharing experience on the theoretical model. The results show that some of the path coefficients are significantly different between these sub-groups. This indicates that platforms should provide differentiate services for passengers based on the purpose of using car-sharing and usage experience. This study provides new theoretical insights into understanding passenger loyalty with respect to public car-sharing and provides policy recommendations for the sustainable development of public car-sharing.

Suggested Citation

  • Fei Ma & Dan Guo & Kum Fai Yuen & Qipeng Sun & Fuxia Ren & Xiaobo Xu & Chengyong Zhao, 2020. "The Influence of Continuous Improvement of Public Car-Sharing Platforms on Passenger Loyalty: A Mediation and Moderation Analysis," IJERPH, MDPI, vol. 17(8), pages 1-21, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2756-:d:346273
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    References listed on IDEAS

    as
    1. Prieto, Marc & Baltas, George & Stan, Valentina, 2017. "Car sharing adoption intention in urban areas: What are the key sociodemographic drivers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 218-227.
    2. Steininger, Karl & Vogl, Caroline & Zettl, Ralph, 1996. "Car-sharing organizations : The size of the market segment and revealed change in mobility behavior," Transport Policy, Elsevier, vol. 3(4), pages 177-185, October.
    3. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2016. "The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 62-75.
    4. Qiuyue Sai & Jun Bi & Dongfan Xie & Wei Guan, 2019. "Identifying and Predicting the Expenditure Level Characteristics of Car-Sharing Users Based on the Empirical Data," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    5. Yuen, Kum Fai & Wang, Xueqin & Wong, Yiik Diew & Zhou, Qingji, 2018. "The effect of sustainable shipping practices on shippers’ loyalty: The mediating role of perceived value, trust and transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 123-135.
    6. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.
    7. Perboli, Guido & Ferrero, Francesco & Musso, Stefano & Vesco, Andrea, 2018. "Business models and tariff simulation in car-sharing services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 32-48.
    8. Li, Xiaopeng & Ma, Jiaqi & Cui, Jianxun & Ghiasi, Amir & Zhou, Fang, 2016. "Design framework of large-scale one-way electric vehicle sharing systems: A continuum approximation model," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 21-45.
    9. Wu, Lei-Yu & Chen, Kuan-Yang & Chen, Po-Yuan & Cheng, Shu-Ling, 2014. "Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective," Journal of Business Research, Elsevier, vol. 67(1), pages 2768-2776.
    10. Anil Kumar, 2017. "Removing the problem of locking not good in assembly of lever combination switch using continuous improvement process," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 31(5), pages 424-435.
    11. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    12. Xiaowen Huang & Joseph C Rode & Roger G Schroeder, 2011. "Organizational structure and continuous improvement and learning: Moderating effects of cultural endorsement of participative leadership," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 42(9), pages 1103-1120, December.
    13. Jagdeep Singh & Harwinder Singh, 2014. "Performance enhancement of a manufacturing industry by using continuous improvement strategies - a case study," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 14(1), pages 36-65.
    14. Wiyada Thitimajshima & Vatcharaporn Esichaikul & Donyaprueth Krairit, 2018. "A framework to identify factors affecting the performance of third-party B2B e-marketplaces: A seller’s perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 129-147, May.
    15. Ying-Chih Chang & Tsu-Ming Yeh & Fan-Yun Pai & Tai-Peng Huang, 2018. "Sport Activity for Health!! The Effects of Karate Participants’ Involvement, Perceived Value, and Leisure Benefits on Recommendation Intention," IJERPH, MDPI, vol. 15(5), pages 1-16, May.
    16. Jörg Firnkorn & Martin Müller, 2012. "Selling Mobility instead of Cars: New Business Strategies of Automakers and the Impact on Private Vehicle Holding," Business Strategy and the Environment, Wiley Blackwell, vol. 21(4), pages 264-280, May.
    17. Shaheen, Susan A & Cohen, Adam P, 2007. "Growth in Worldwide Carsharing: An International Comparison," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2zv240pp, Institute of Transportation Studies, UC Berkeley.
    18. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    19. Georgina Santos, 2018. "Sustainability and Shared Mobility Models," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    20. Jiyeon Jung & Yoonmo Koo, 2018. "Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    21. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue & Li Sun, 2017. "Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China," IJERPH, MDPI, vol. 14(5), pages 1-24, May.
    22. Di Pietro, Laura & Guglielmetti Mugion, Roberta & Musella, Flaminia & Renzi, Maria Francesca & Vicard, Paola, 2017. "Monitoring an airport check-in process by using Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 235-247.
    23. Vanduy Tran & Shengchuan Zhao & El Bachir Diop & Weiya Song, 2019. "Travelers’ Acceptance of Electric Carsharing Systems in Developing Countries: The Case of China," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
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