Service quality, perceived price fairness, and users’ continuous usage intentions regarding shared bike service

References

• Ananda, S., & Devesh, S. (2019). Service quality dimensions and customer satisfaction: Empirical evidence from retail banking sector in Oman. Total Quality Management & Business Excellence, 30(15–16), 1616–1629. https://doi.org/10.1080/14783363.2017.1393330
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation confirmation model. Mis Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
   Web of Science ®Google Scholar
• Böcker, L., & Anderson, E. (2020). Interest-adoption discrepancies, mechanisms of mediation and socio-spatial inclusiveness in bike-sharing: The case of nine urban regions in Norway. Transportation Research Part A: Policy and Practice, 140, 266–277. https://doi.org/10.1016/j.tra.2020.08.020
   Web of Science ®Google Scholar
• Bolton, L. E., Keh, H. T., & Alba, J. W. (2010). How do price fairness perceptions differ across culture? Journal of Marketing Research, 47(3), 564–576. https://doi.org/10.1509/jmkr.47.3.564
   Web of Science ®Google Scholar
• Bolton, L. E., Warlop, L., & Alba, J. W. (2003). Consumer perceptions of price (un) fairness. Journal of Consumer Research, 29(4), 474–491. https://doi.org/10.1086/346244
   Web of Science ®Google Scholar
• Campbell, A. A., Cherry, C. R., Ryerson, M. S., & Yang, X. (2016). Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C Emerging Technologies, 67, 399–414. https://doi.org/10.1016/j.trc.2016.03.004
   Web of Science ®Google Scholar
• Chang, W. J., Liao, S. H., Chung, Y. C., & Chen, H. P. (2020). Service quality, experiential value and repurchase intention for medical cosmetology clinic: Moderating effect of generation. Total Quality Management & Business Excellence, 31(9–10), 1077–1097. https://doi.org/10.1080/14783363.2018.1463156
   Web of Science ®Google Scholar
• Chatman, D. G. (2008). Deconstructing development density: Quality, quantity and price effects on household non-work travel. Transportation Research Part A: Policy and Practice, 42(7), 1008–1030. https://doi.org/10.1016/j.tra.2008.02.003
   Web of Science ®Google Scholar
• Chen, C.-F., & Chen, F.-S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29–35. https://doi.org/10.1016/j.tourman.2009.02.008
   Web of Science ®Google Scholar
• Chen, L., Li, Y.-Q., & Liu, C.-H. (2019). How airline service quality determines the quantity of repurchase intention-mediate and moderate effects of brand quality and perceived value. Journal of Air Transport Management, 75, 185–197. https://doi.org/10.1016/j.jairtraman.2018.11.002
   Web of Science ®Google Scholar
• DeMaio, P. (2009). Bike-sharing: History, impacts, models of provision, and future. Journal of Public Transportation, 12(4), 41–56. https://doi.org/10.5038/2375-0901.12.4.3
   Google Scholar
• Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, 29(3), 430–447. https://doi.org/10.1108/IntR-12-2017-0515
   Web of Science ®Google Scholar
• Goldsmith, R. E., Kim, D., Flynn, L. R., & Kim, W.-M. (2005). Price sensitivity and innovativeness for fashion among Korean consumers. The Journal of Social Psychology, 145(5), 501–508. https://doi.org/10.3200/SOCP.145.5.501-508
   PubMed Web of Science ®Google Scholar
• Graciola, A. P., De Toni, D., de Lima, V. Z., & Milan, G. S. (2018). Does price sensitivity and price level influence store price image and repurchase intention in retail markets? Journal of Retailing and Consumer Services, 44, 201–213. https://doi.org/10.1016/j.jretconser.2018.06.014
   Web of Science ®Google Scholar
• Hahnel, U. J., Ortmann, C., Korcaj, L., & Spada, H. (2014). What is green worth to you? Activating environmental values lowers price sensitivity towards electric vehicles. Journal of Environmental Psychology, 40, 306–319. https://doi.org/10.1016/j.jenvp.2014.08.002
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7th Edition). Prentice Hall.
   Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hsu, C.-L., Chang, C.-Y., & Yansritakul, C. (2017). Exploring purchase intention of green skincare products using the theory of planned behavior: Testing the moderating effects of country of origin and price sensitivity. Journal of Retailing and Consumer Services, 34, 145–152. https://doi.org/10.1016/j.jretconser.2016.10.006
   Web of Science ®Google Scholar
• Hu, H.-H., Kandampully, J., & Juwaheer, T. D. (2009). Relationships and impacts of service quality, perceived value, customer satisfaction, and image: An empirical study. The Service Industries Journal, 29(2), 111–125. https://doi.org/10.1080/02642060802292932
   Web of Science ®Google Scholar
• Jen, W., Tu, R., & Lu, T. (2011). Managing passenger behavioral intention: An integrated framework for service quality, satisfaction, perceived value, and switching barriers. Transportation, 38(2), 321–342. https://doi.org/10.1007/s11116-010-9306-9
   Web of Science ®Google Scholar
• Jia, N., Li, L., Ling, S., Ma, S., & Yao, W. (2018). Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China. Transportation Research Part A Policy & Practice, 111, 108–118. https://doi.org/10.1016/j.tra.2018.03.010
   Web of Science ®Google Scholar
• Jiang, L., Jun, M., & Yang, Z. (2016). Customer-perceived value and loyalty: How do key service quality dimensions matter in the context of B2C e-commerce? Service Business, 10(2), 301–317. https://doi.org/10.1007/s11628-015-0269-y
   Web of Science ®Google Scholar
• Keil, M., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. Mis Quarterly, 24(2), 299–325. https://doi.org/10.2307/3250940
   Web of Science ®Google Scholar
• Khordagui, N. (2019). Parking prices and the decision to drive to work: Evidence from California. Transportation Research Part A: Policy and Practice, 130, 479–495. https://doi.org/10.1016/j.tra.2019.09.064
   Web of Science ®Google Scholar
• Konuk, F. A. (2018). Price fairness, satisfaction, and trust as antecedents of purchase intentions towards organic food. Journal of Consumer Behaviour, 17(2), 141–148. https://doi.org/10.1002/cb.1697
   Web of Science ®Google Scholar
• Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887–896. https://doi.org/10.1016/j.chb.2009.03.003
   Web of Science ®Google Scholar
• Lai, W.-T., & Chen, C.-F. (2011). Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement. Transport Policy, 18(2), 318–325. https://doi.org/10.1016/j.tranpol.2010.09.003
   Web of Science ®Google Scholar
• Lu, K., & Wang, X. (2020). Analysis of perceived value and travelers’ behavioral intention to adopt ride-hailing services: Case of Nanjing, China. Journal of Advanced Transportation, 2020, 4380610. https://doi.org/10.1155/2020/4380610
   Web of Science ®Google Scholar
• Ma, L., Zhang, X., & Ding, X. (2020). Enterprise social media usage and knowledge hiding: A motivation theory perspective. Journal of Knowledge Management, 24(9), 2149–2169. https://doi.org/10.1108/JKM-03-2020-0234
   Web of Science ®Google Scholar
• Ma, L., Zhang, X., Ding, X., & Fei, J. (2021b). How to improve employee satisfaction and efficiency through different enterprise social media use. Journal of Enterprise Information Management, 34(3), 922–947. https://doi.org/10.1108/JEIM-10-2019-0321
   Web of Science ®Google Scholar
• Ma, L., Zhang, X., Ding, X. Y., & Wang, G. S. (2018). Bike sharing and users’ subjective well-being: An empirical study in China. Transportation Research Part A: Policy and Practice, 118, 14–24. https://doi.org/10.1016/j.tra.2018.08.040
   Web of Science ®Google Scholar
• Ma, L., Zhang, X., Wang, G., & Zhang, G. (2021a). How to build employees' relationship capital through different enterprise social media platform use: The moderating role of innovation culture. Internet Research, 31(5), 1823–1848. https://doi.org/10.1108/INTR-01-2020-0022
   Web of Science ®Google Scholar
• Ma, L., Zhang, X., & Wang, G. S. (2017). Identifying the reasons why users in China recommend bike apps. International Journal of Market Research, 59(6), 767–786. https://doi.org/10.2501/IJMR-2017-053
   Web of Science ®Google Scholar
• Malc, D., Mumel, D., & Pisnik, A. (2016). Exploring price fairness perceptions and their influence on consumer behavior. Journal of Business Research, 69(9), 3693–3697. https://doi.org/10.1016/j.jbusres.2016.03.031
   Web of Science ®Google Scholar
• Malik, G., & Rao, A. S. (2019). Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: Role of perceived value and self-efficacy. Information Technology & Tourism, 21(4), 461–482. https://doi.org/10.1007/s40558-019-00152-3
   Web of Science ®Google Scholar
• Markos, E., Labrecque, L. I., & Milne, G. R. (2018). A new information lens: The self-concept and exchange context as a means to understand information sensitivity of anonymous and personal identifying information. Journal of Interactive Marketing, 42, 46–62. https://doi.org/10.1016/j.intmar.2018.01.004
   Web of Science ®Google Scholar
• Morton, C. (2018). Appraising the market for bicycle sharing schemes: Perceived service quality, satisfaction, and behavioural intention in London. Case Studies on Transport Policy, 6(1), 102–111. https://doi.org/10.1016/j.cstp.2017.11.003
   Web of Science ®Google Scholar
• Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8–22. https://doi.org/10.1016/j.jretconser.2017.02.010
   Web of Science ®Google Scholar
• Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics & Informatics, 33(1), 34–47. https://doi.org/10.1016/j.tele.2015.05.006
   Web of Science ®Google Scholar
• Oppong, E., Hinson, R. E., Adeola, O., Muritala, O., & Kosiba, J. P. (2021). The effect of mobile health service quality on user satisfaction and continual usage. Total Quality Management & Business Excellence, 32(1–2), 177–198. https://doi.org/10.1080/14783363.2018.1541734
   Web of Science ®Google Scholar
• Peng, C., OuYang, Z., & Liu, Y. (2019). Understanding bike sharing use over time by employing extended technology continuance theory. Transportation Research Part A: Policy and Practice, 124, 433–443. https://doi.org/10.1016/j.tra.2019.04.013
   Web of Science ®Google Scholar
• Ruch, C., Warrington, J., & Morari, M. (2014). Rule-based price control for bike sharing systems. 2014 European Control Conference. https://doi.org/10.1109/ECC.2014.6862386.
   Google Scholar
• Shao, P., & Liang, J. (2019). An analysis of the factors influencing the sustainable Use intention of urban shared bicycles in China. Sustainability, 11(10), 2721. https://doi.org/10.3390/su11102721
   Web of Science ®Google Scholar
• Shao, Z., & Ge, C. (2018). Impact of Service Quality on Individuals’ Continuance Intention of the Bicycle-Sharing Application. Twenty-Second Pacific Asia Conference on Information Systems. Paper 6.
   Google Scholar
• Shao, Z., Guo, Y., & Ge, C. (2019). Impact of Perceived Value on Customer Satisfaction and Continuance Intention of Bicycle Sharing Service. Proceedings of the 52nd Hawaii International Conference on System Sciences. Paper 3.
   Google Scholar
• Si, H., Shi, J.-g., Tang, D., Wu, G., & Lan, J. (2020). Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior. Resources, Conservation and Recycling, 152, 104513. https://doi.org/10.1016/j.resconrec.2019.104513
   Web of Science ®Google Scholar
• Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0
   Web of Science ®Google Scholar
• Tam, J. L. (2004). Customer satisfaction, service quality and perceived value: An integrative model. Journal of Marketing Management, 20(7–8), 897–917. https://doi.org/10.1362/0267257041838719
   Google Scholar
• Ubillos, J. B., & Sainz, A. F. (2004). The influence of quality and price on the demand for urban transport: The case of university students. Transportation Research Part A: Policy and Practice, 38(8), 607–614. https://doi.org/10.1016/j.tra.2004.04.004
   Web of Science ®Google Scholar
• Wang, C. (2014). Antecedents and consequences of perceived value in mobile government continuance use: An empirical research in China. Computers in Human Behavior, 34(5), 140–147. https://doi.org/10.1016/j.chb.2014.01.034
   Google Scholar
• Wang, Y., Douglas, M. A., Hazen, B. T., & Dresner, M. (2018a). Be green and clearly be seen: How consumer values and attitudes affect adoption of bicycle sharing. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 730–742. https://doi.org/10.1016/j.trf.2018.06.043
   Web of Science ®Google Scholar
• Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C. (2018b). An empirical study of consumers’ intention to use ride-sharing services: Using an extended technology acceptance model. Transportation, 45(5), 1–19. https://doi.org/10.1007/s11116-018-9893-4
   PubMedGoogle Scholar
• Wang, Z. Y., Han, D. M., & Zhao, Y. P. (2020). How to improve users’ intentions to continued usage of shared bicycles: A mixed method approach. PloS One, 15, e0229458. https://doi.org/10.1371/journal.pone.0229458
   PubMed Web of Science ®Google Scholar
• Wu, R., Wu, Z., Wen, J., Cai, Y., & Li, Y. (2019). Extrinsic and intrinsic motivations as predictors of bicycle sharing usage intention: An empirical study for Tianjin, China. Journal of Cleaner Production, 225, 451–458. https://doi.org/10.1016/j.jclepro.2019.04.016
   Web of Science ®Google Scholar
• Xia, L., Monroe, K. B., & Cox, J. L. (2004). The price is unfair! A conceptual framework of price fairness perceptions. Journal of Marketing, 68(4), 1–15. https://doi.org/10.1509/jmkg.68.4.1.42733
   Web of Science ®Google Scholar
• Xin, Z., Liang, M., Zhanyou, W., & Hua, X. (2019). Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior. Plos One, 14(1), e0210964. https://doi.org/10.1371/journal.pone.0210964
   PubMed Web of Science ®Google Scholar
• Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302
   Web of Science ®Google Scholar
• Zeng, F., Yang, Z., Li, Y., & Fam, K.-S. (2011). Small business industrial buyers’ price sensitivity: Do service quality dimensions matter in business markets? Industrial Marketing Management, 40(3), 395–404. https://doi.org/10.1016/j.indmarman.2010.08.008
   Web of Science ®Google Scholar
• Zhang, T. C., Jahromi, M. F., & Kizildag, M. (2018). Value co-creation in a sharing economy: The end of price wars? International Journal of Hospitality Management, 71, 51–58. https://doi.org/10.1016/j.ijhm.2017.11.010
   Web of Science ®Google Scholar
• Zhang, X., Ma, L., Xu, B., & Xu, F. (2019). How social media usage affects employees’ job satisfaction and turnover intention: An empirical study in China. Information & Management, 56(6), 103136. https://doi.org/10.1016/j.im.2018.12.004
   Web of Science ®Google Scholar
• Zhao, L., Lu, Y. B., Zhang, L., & Chau, P. Y. K. (2012). Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: An empirical test of a multidimensional model. Decision Support Systems, 52(3), 645–656. https://doi.org/10.1016/j.dss.2011.10.022
   Web of Science ®Google Scholar