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Understanding bike sharing use over time by employing extended technology continuance theory

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  • Cheng, Peng
  • OuYang, Zhe
  • Liu, Yang

Abstract

The wide acceptance of bike sharing services depends on the consumers’ continuing use of bike sharing services. Facilitating users’ continuance intentions and retaining consumers are important to bike sharing service providers and governments. Following extended technology continuance theory and incorporating perceived risk, we aim to identify factors that affect bike sharing services’ continuance intentions in this study. We use a questionnaire survey involving 559 respondents to conduct data analysis with structural equation modeling. Our empirical results demonstrate that the extended technology continuance theory could provide a strong rationale in the investigation of continuance intention to adopt bike sharing services. Perceived usefulness, satisfaction, and attitude are positively associated with continuance intention. Perceived usefulness also positively impacts satisfaction and attitude. Perceived risk tends to be negatively related to satisfaction. Additionally, confirmation can positively impact perceived usefulness and perceived ease of use. Perceived ease of use is positively associated with perceived usefulness and attitude.

Suggested Citation

  • Cheng, Peng & OuYang, Zhe & Liu, Yang, 2019. "Understanding bike sharing use over time by employing extended technology continuance theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 433-443.
  • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:433-443
    DOI: 10.1016/j.tra.2019.04.013
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    1. Cohen, Adam & Shaheen, Susan PhD, 2018. "Planning for Shared Mobility," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0dk3h89p, Institute of Transportation Studies, UC Berkeley.
    2. Ma, Liang & Zhang, Xin & Ding, Xiaoyan & Wang, Gaoshan, 2018. "Bike sharing and users’ subjective well-being: An empirical study in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 14-24.
    3. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    4. Xuefeng Li & Yong Zhang & Li Sun & Qiyang Liu, 2018. "Free-Floating Bike Sharing in Jiangsu: Users’ Behaviors and Influencing Factors," Energies, MDPI, vol. 11(7), pages 1-18, June.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Shaheen, Susan & Guzman, Stacey, 2011. "Worldwide Bikesharing," University of California Transportation Center, Working Papers qt6f16b7sv, University of California Transportation Center.
    8. Oliver, Richard L, 1993. "Cognitive, Affective, and Attribute BAses of the Satisfaction Response," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 418-430, December.
    9. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    10. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    11. Park, Chan-Kook & Kim, Hyun-Jae & Kim, Yang-Soo, 2014. "A study of factors enhancing smart grid consumer engagement," Energy Policy, Elsevier, vol. 72(C), pages 211-218.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    13. Juho Hamari & Mimmi Sjöklint & Antti Ukkonen, 2016. "The sharing economy: Why people participate in collaborative consumption," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2047-2059, September.
    14. Schneider, Robert J., 2013. "Theory of routine mode choice decisions: An operational framework to increase sustainable transportation," Transport Policy, Elsevier, vol. 25(C), pages 128-137.
    15. Minseok Choi & Kyeongseok Han & Jeongil Choi, 2015. "The effects of product attributes and service quality of transportation card solutions on service user’s continuance and word-of-mouth intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 463-490, September.
    16. Shaheen, Susan PhD & Cohen, Adam & Martin, Elliot PhD, 2013. "Public Bikesharing in North America: Early Operator Understanding and Emerging Trends," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1x26m6z7, Institute of Transportation Studies, UC Berkeley.
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    19. Ting Wang & Chien-Liang Lin & Yu-Sheng Su, 2021. "Continuance Intention of University Students and Online Learning during the COVID-19 Pandemic: A Modified Expectation Confirmation Model Perspective," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    20. Si, Hongyun & Su, Yangyue & Wu, Guangdong & Liu, Bingsheng & Zhao, Xianbo, 2020. "Understanding bike-sharing users’ willingness to participate in repairing damaged bicycles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 203-220.
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