Why Do Consumers Use Ride-Hailing? Evidence from China and Indonesia
DOI:
https://doi.org/10.21512/bbr.v14i1.8371Keywords:
ride-hailing, consumer decision, Importance-Performance Mapping Analysis (IPMA)Abstract
Consumers’ attitudes and preferences in developing countries differ from those in developed countries. The research compared the motivation to use ride-hailing in developing and developed countries to understand consumers better. The research applied a qualitative survey with 52 drivers, followed by a quantitative survey with 741 passengers. It was finalized by one quantitative survey of 818 respondents to answer the research questions. The passengers in both quantitative surveys were from Indonesia and China who were Chinese, Indonesian, and Expatriates in China. Indicators in Partial Least Square-Structural Equation Modelling (PLS-SEM) were used to capture ride-hailing phenomena closer to actual business situations and made more robust measurements for future testing of consumers’ decisions in sharing economy setting. The results show that the habit factor influences the decision to use ride-hailing among Indonesian, Chinese, and Expatriate respondents. Meanwhile, the financial factor only influences Indonesian respondents. Safety factor affects Expatriate respondents, and utility and convenience factors influence the decision of Chinese respondents. Innovation and social factors are significant when the significance level is reduced to the exploratory level. In conclusion, managers of sharing economy companies in developing and developed countries can use Importance-Performance Mapping Analysis (IPMA) result in the research to identify important but weak factors that can be improved.
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References
Alemi, F., Circella, G., Mokhtarian, P., & Handy, S. (2019). What drives the use of ridehailing in California? Ordered probit models of the usage frequency of Uber and Lyft. Transportation Research Part C: Emerging Technologies, 102(May), 233–248. https://doi.org/10.1016/j.trc.2018.12.016
Almunawar, M. N., Anshari, M., & Lim, S. A. (2020). Customer acceptance of ride-hailing in Indonesia. Journal of Science and Technology Policy Management, 12(3), 443–462. https://doi.org/10.1108/JSTPM-09-2019-0082
Álvarez-García, J., González-Vázquez, E., Del Río-Rama, M. D. L. C., & Durán-Sánchez, A. (2019). Quality in customer service and its relationship with satisfaction: An innovation and competitiveness tool in sport and health centers. International Journal of Environmental Research and Public Health, 16(20), 1–17. https://doi.org/10.3390/ijerph16203942
Amalberti, R. (2017). The paradoxes of almost totally safe transportation systems. In R. K. Dismukes (Ed.), Human error in aviation (pp. 101–118). Routledge.
Aranda, D. A., & Molina‐Fernández, L. M. (2002). Determinants of innovation through a knowledge‐based theory lens. Industrial Management & Data Systems, 102(5), 289–296. https://doi.org/10.1108/02635570210428320
Awad, E., Levine, S., Kleiman-Weiner, M., Dsouza, S., Tenenbaum, J. B., Shariff, A., Bonnefon, J. F., & Rahwan, I. (2020). Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behaviour, 4, 134–143. https://doi.org/10.1038/s41562-019-0762-8
Benoit, S., Baker, T. L., Bolton, R. N., Gruber, T., & Kandampully, J. (2017). A triadic framework for Collaborative Consumption (CC): Motives, activities and resources & capabilities of actors. Journal of Business Research, 79(October), 219–227. https://doi.org/10.1016/j.jbusres.2017.05.004
Benoit, S., Klose, S., & Ettinger, A. (2017). Linking service convenience to satisfaction: Dimensions and key moderators. Journal of Services Marketing, 31(6), 527–538. https://doi.org/10.1108/JSM-10-2016-0353
Blau, P. M. (2017). Exchange and power in social life. Routledge.
Brown, A., & LaValle, W. (2021). Hailing a change: Comparing taxi and ridehail service quality in Los Angeles. Transportation, 48, 1007–1031. https://doi.org/10.1007/s11116-020-10086-z
Cai, Y., Wang, H., Ong, G. P., Meng, Q., & Lee, D. H. (2019). Investigating user perception on Autonomous Vehicle (AV) based Mobility-on-Demand (MOD) services in Singapore using the logit kernel approach. Transportation, 46(6), 2063–2080. https://doi.org/10.1007/s11116-019-10032-8
Camilleri, J., & Neuhofer, B. (2017). Value co-creation and co-destruction in the Airbnb sharing economy. International Journal of Contemporary Hospitality Management, 29(9), 2322–2340. https://doi.org/10.1108/IJCHM-09-2016-0492
Chaudhry, B., Yasar, A. U. H., El-Amine, S., & Shakshuki, E. (2018). Passenger safety in ride-sharing services. Procedia Computer Science, 130, 1044–1050. https://doi.org/10.1016/j.procs.2018.04.146
Chen, W., Chan, T. W., Wong, L. H., Looi, C. K., Liao, C. C. Y., Cheng, H. N., ... & Pi, Z. (2020). IDC theory: Habit and the habit loop. Research and Practice in Technology Enhanced Learning, 15, 1–19. https://doi.org/10.1186/s41039-020-00127-7
Chen, Z., Liu, S., Yu, Y., Bwanali, T. R., & Douangdara, V. (2020). Community satisfaction, sense of community, and social well-being in China. Social Behavior and Personality: An International Journal, 48(11), 1–9. https://doi.org/10.2224/sbp.8648
Cheng, M., & Foley, C. (2019). Algorithmic management: The case of Airbnb. International Journal of Hospitality Management, 83(October), 33–36. https://doi.org/10.1016/j.ijhm.2019.04.009
Cheng, X., Fu, S., & Yin, G. (2017). Does subsidy work? An investigation of post-adoption switching on car-hailing apps. Journal of Electronic Commerce Research, 18(4), 317–329.
Cheng, X., Fu, S., & De Vreede, G. J. (2018). A mixed method investigation of sharing economy driven car-hailing services: Online and offline perspectives. International Journal of Information Management, 41(August), 57–64. https://doi.org/10.1016/j.ijinfomgt.2018.03.005
Choi, Y., Wen, H., Chen, M., & Yang, F. (2021). Sustainable determinants influencing habit formation among mobile short-video platform users. Sustainability, 13(6), 1–16. https://doi.org/10.3390/su13063216
Clewlow, R. R., & Mishra, G. S. (2017). Disruptive transportation: The adoption, utilization, and impacts of ride-hailing in the United States (Research report). UC Davis Institute of Transportation Studies.
Cojanu, V. (2017). Self-interest and the modernity of homo economicus. International Journal of Social Economics, 44(5), 673–682. https://doi.org/10.1108/IJSE-07-2015-0192
Cronholm, S., Göbel, H., & Åkesson, M. (2020). ITIL compliance with service-dominant logic. e-Service Journal, 11(2), 74-97.
Curley, M., & Salmelin, B. (2018). Open innovation 2.0 - The new mode of digital innovation for prosperity and sustainability. Springer.
Dare, J., Wilkinson, C., Donovan, R., Lo, J., McDermott, M. L., O’Sullivan, H., & Marquis, R. (2019). Guidance for research on social isolation, loneliness, and participation among older people: Lessons from a mixed methods study. International Journal of Qualitative Methods, 18, 1-9. https://doi.org/10.1177/1609406919872914
Davlembayeva, D., Papagiannidis, S., & Alamanos, E. (2020). Mapping the economics, social and technological attributes of the sharing economy. Information Technology & People, 33(3), 841–872. https://doi.org/10.1108/ITP-02-2018-0085
De Souza Silva, L. A., De Andrade, M. O., & Maia, M. L. A. (2018). How does the ride-hailing systems demand affect individual transport regulation? Research in Transportation Economics, 69(September), 600–606. https://doi.org/10.1016/j.retrec.2018.06.010
DeTienne, K. B., Ellertson, C. F., Ingerson, M. C., & Dudley, W. R. (2021). Moral development in business ethics: An examination and critique. Journal of Business Ethics, 170(3), 429–448. https://doi.org/10.1007/s10551-019-04351-0
Devaraj, S., & Patel, P. C. (2017). Taxicab tipping and sunlight. PLOS ONE, 12(6), 1–16. https://doi.org/10.1371/journal.pone.0179193
Dias, F. F., Lavieri, P. S., Garikapati, V. M., Astroza, S., Pendyala, R. M., & Bhat, C. R. (2017). A behavioral choice model of the use of car-sharing and ride-sourcing services. Transportation, 44, 1307–1323. https://doi.org/10.1007/s11116-017-9797-8
Fauzi, A. A., & Sheng, M. L. (2020). Ride-hailing apps' continuance intention among different consumer groups in Indonesia: The role of personal innovativeness and perceived utilitarian and hedonic value. Asia Pacific Journal of Marketing and Logistics, 33(5), 1195–1219. https://doi.org/10.1108/APJML-05-2019-0332
Fayard, G. (2019). Road injury prevention in China: Current state and future challenges. Journal of Public Health Policy, 40, 292–307. https://doi.org/10.1057/s41271-019-00164-7
Garben, S. (2017). Protecting workers in the online platform economy : An overview of regulatory and policy developments in the EU (European Risk Observatory discussion paper). European Agency for Safety and Health at Work. https://doi.org/10.2802/918187
Gault, F. (2019). User innovation in the digital economy. Foresight and STI Governance, 13(3), 6–12. https://doi.org/10.17323/2500-2597.2019.3.6.12
Goel, P., & Haldar, P. (2020). Shared ride-hailing service in India: An analysis of consumers’ intention to adopt. International Journal of Business and Emerging Markets, 12(3), 336–353.
Gunarso, G. (2022). Game theory of regulator, companies, and cooperation in Indonesian financial technology industry. Jinnah Business Review, 10(1), 74–86.
Gunarso, G., & Kembaren, J. (2019). An entrepreneur point-of-view about policies to support innovation in sharing economy era. In Leveraging Region with economy, social and technology collaboration (pp. 65–76). Lembaga Pendidikan Sukarno Pressindo.
Gunarso, G., Mokorowu, Y., Boy Saragih, D., & Perangin Angin, P. (2022). Artificial intelligence in a Christian perspective of humanity and personhood. International Dialogues on Education Journal, 9(1), 176–191. https://doi.org/10.53308/ide.v9i1.279
Habibi, M. R., Davidson, A., & Laroche, M. (2017). What managers should know about the sharing economy. Business Horizons, 60(1), 113–121. https://doi.org/10.1016/j.bushor.2016.09.007
Hair, Jr., J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). SAGE Publications Inc.
Hamenda, A. (2018). An integrated model of service quality, price fairness, ethical practice and customer perceived values for customer satisfaction of sharing economy platform. International Journal of Business and Society, 19(3), 709–724.
Hamerska, M., Ziółko, M., & Stawiarski, P. (2022). A sustainable transport system—The MMQUAL model of shared micromobility service quality assessment. Sustainability, 14(7), 1–18. https://doi.org/10.3390/su14074168
Hanafizadeh, P., & Mehrabioun, M. (2020). A systemic framework for business model design and development-Part B: Practical perspective. Systemic Practice and Action Research, 33, 639–674. https://doi.org/10.1007/s11213-019-09501-z
Hanh, R., & Metcalfe, R. (2017). The ridesharing Revolution: Economic survey and synthesis. In S. D. Kominers & A. Teytelboym (Eds.), Volume IV: More equal by design: Economic design responses to inequality. Oxford University Press.
Hausemer, P., Dragulin, M., Chewpreecha, U., Pollitt, H., Boonen, K., Verscalsteren, A., & Gillabel, J. (2017). Environmental potential of the collaborative economy: Final report and annexes. European Commission.
Havlíčková, D., & Zámečník, P. (2020). Considering habit in research on travel mode choice: A literature review with a two-level methodology. Transactions on Transport Sciences, 11(1), 18–32.
He, F., Wang, X., Lin, X., & Tang, X. (2018). Pricing and penalty/compensation strategies of a taxi-hailing platform. Transportation Research Part C: Emerging Technologies, 86(January), 263–279. https://doi.org/10.1016/j.trc.2017.11.003
Huarng, K. H., & Yu, T. H. K. (2020). A comparative study of online consumer behavior: A tale of two research methods. International Journal of Emerging Markets, 15(4), 716–727. https://doi.org/10.1108/IJOEM-06-2019-0417
Ilavarasan, P. V., Verma, R. K., & Kar, A. K. (2018). Sharing economy platforms as enablers of urban transport in the global south: Case of digital taxi aggregators in New Delhi, India. In Urban transport in the sharing economy era (pp. 128–158). CIPPEC.
Irawan, Z. M., Belgiawan, P. F., Tarigan, A. K. M., & Wijanarko, F. (2020). To compete or not compete: Exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area. Transportation, 47, 2367–2389. https://doi.org/10.1007/s11116-019-10019-5
Isabelle, R. C., Carole, R., Pierre, V. E., & Jian, Z. (2021). Assessing self-reported risky behavior among two-wheeled vehicle users: An exploratory analysis comparing e-bikers to other riders. European Transport Research Review, 13, 1–10. https://doi.org/10.1186/s12544-021-00508-z
Jia, F., Li, D., Liu, G., Sun, H., & Hernandez, J. E. (2020). Achieving loyalty for sharing economy platforms: An expectation–confirmation perspective. International Journal of Operations & Production Management, 40(7/8), 1067–1094. https://doi.org/10.1108/IJOPM-06-2019-0450
Joewono, T. B., Rizki, M., Dharmowijoyo, D. E., & Prasetyanto, D. (2021). Investigating the ride-hailing users and their perception of the usefulness of its services: A case from Bandung, Indonesia. In Proceedings of the International Conference on Civil, Offshore and Environmental Engineering (pp. 852–860). Springer.
Kakar, A., & Kakar, A. K. (2020). Identifying the determinant dimensions of shopper convenience for online versus instore shopping in the pre and post COVID-19 eras. Pacific Asia Journal of the Association for Information Systems, 12(4), 1–18.
Kim, K., Baek, C., & Lee, J. D. (2018). Creative destruction of the sharing economy in action: The case of Uber. Transportation Research Part A: Policy and Practice, 110(April), 118–127. https://doi.org/10.1016/j.tra.2018.01.014
Kim, Y., & Crowston, K. (2011). Technology adoption and use theory review for studying scientists’ continued use of cyber‐infrastructure. Proceedings of the American Society for Information Science and Technology, 48(1), 1–10. https://doi.org/10.1002/meet.2011.14504801197
Kotze, M., Nel, P., & Smit, P. (2022). Psychometric properties of a workplace spirituality measure. SA Journal of Industrial Psychology, 48, 1–14. https://doi.org/10.4102/sajip.v48i0.1923
Kraft, H., Munk, C., Seifried, F. T., & Wagner, S. (2017). Consumption habits and humps. Economic Theory, 64, 305–330. https://doi.org/10.1007/s00199-016-0984-1
Kumar, R., Sachan, A., & Dutta, T. (2020). Examining the impact of e-retailing convenience dimensions on behavioral intention: The mediating role of satisfaction. Journal of Internet Commerce, 19(4), 466–494. https://doi.org/10.1080/15332861.2020.1788367
Ladipo, P. K. A., Lyiegbuniwe, P. I., Ighomereho, S. O., & Ganiyu, R. A. (2014). A review and integration of the partial models of consumer behaviour. European Journal of Business and Management, 6(6), 2222–2839.
Lai, I. K. W., Hitchcock, M., Yang, T., & Lu, T. W. (2018). Literature review on service quality in hospitality and tourism (1984-2014): Future directions and trends. International Journal of Contemporary Hospitality Management, 30(1), 114–159. https://doi.org/10.1108/IJCHM-08-2016-0408
Law, R., Fong, D. K. C., Chan, I. C. C., & Fong, L. H. N. (2018). Systematic review of hospitality CRM research. International Journal of Contemporary Hospitality Management, 30(3), 1686–1704. https://doi.org/10.1108/IJCHM-06-2017-0333
Lee, S., Lee, W., Vogt, C. A., & Zhang, Y. (2021). A comparative analysis of factors influencing millennial travellers’ intentions to use ride-hailing. Information Technology & Tourism, 23, 133–157. https://doi.org/10.1007/s40558-021-00194-6
Lee, Z. W. Y., Chan, T. K. H., Balaji, M. S., & Chong, A. Y. L. (2018). Why people participate in the sharing economy: An empirical investigation of Uber. Internet Research, 28(3), 829–850. https://doi.org/10.1108/IntR-01-2017-0037
Leung, E., Paolacci, G., & Puntoni, S. (2018). Man versus machine: Resisting automation in identity-based consumer behavior. Journal of Marketing Research, 55(6), 818–831. https://doi.org/10.1177/0022243718818423
Limpin, L. (2018). Investigating the factors influencing the participation in ride-sharing: The case of the Philippines. In Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering (WCSE 2018) (pp. 374–379).
Lin, Y. S. (2017). Causal complexity for passengers’ intentions to re-ride. Quality & Quantity, 51, 1925–1937. https://doi.org/10.1007/s11135-016-0339-9
Liu, R. Y. M., Morrison, B. W., Wiggins, M. W., & Perry, N. C. (2021). Using reduced-processing training to improve decision efficiency among perfectionists. Cognition, Technology & Work, 23, 847–861. https://doi.org/10.1007/s10111-021-00672-1
Longoni, C., & Cian, L. (2022). Artificial intelligence in utilitarian vs. hedonic contexts: The “word-of-machine” effect. Journal of Marketing, 86(1), 91–108. https://doi.org/10.1177/0022242920957347
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, 1–13. https://doi.org/10.1155/2020/4380610
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947. https://doi.org/10.1287/mksc.2019.1192
Ma, L., Zhang, X., Ding, X., & Wang, G. (2019). Risk perception and intention to discontinue use of ride-hailing services in China: Taking the example of DiDi Chuxing. Transportation Research Part F: Traffic Psychology and Behaviour, 66(October), 459–470.
Ma, W., Guo, Y., An, K., & Wang, L. (2022). Pricing method of the flexible bus service based on cumulative prospect theory. Journal of Advanced Transportation, 2022, 1–14. https://doi.org/10.1155/2022/1785199
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, 461–482. https://doi.org/10.1007/s40558-019-00152-3
Manuele, F. A. (2022). On the future of the safety profession. Professional Safety, 67(5), 27–30.
Mazambani, L., & Mutambara, E. (2020). Predicting FinTech innovation adoption in South Africa: The case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30–50. https://doi.org/10.1108/AJEMS-04-2019-0152
McElveen, L. (2019). TSSCP: Advancing a transit strategic safety culture paradigm. Professional Safety, 64(7), 32–41.
Mishra, R., Singh, R. K., & Koles, B. (2021). Consumer decision-making in omnichannel retailing: Literature review and future research agenda. International Journal of Consumer Studies, 45(2), 147–174. https://doi.org/10.1111/ijcs.12617
Moksness, L., Olsen, S. O., & Tuu, H. H. (2020). Exploring the effects of habit strength on scholarly publishing. Journal of Documentation, 76(6), 1393–1411. https://doi.org/10.1108/JD-11-2019-0220
Montgomery, N., Squires, G., & Syed, I. (2018). Disruptive potential of real estate crowdfunding in the real estate project finance industry: A literature review. Property Management, 36(5), 597–619. https://doi.org/10.1108/PM-04-2018-0032
Narasimhan, C., Papatla, P., Jiang, B., Kopalle, P. K., Messinger, P. R., Moorthy, S., Proserpio, D., Subramanian, U., Wu, C., & Zhu, T. (2018). Sharing economy: Review of current research and future directions. Customer Needs and Solutions, 5, 93–106. https://doi.org/10.1007/s40547-017-0079-6
Ofstad, H. (1961). An inquiry into the freedom of decision. Les Etudes Philosophiques, 17(2), 275–276.
Ozmete, E., & Hira, T. (2011). Conceptual analysis of behavioral theories/models: Application to financial behavior. European Journal of Social Sciences, 18(3), 386–404.
Palmatier, R. W., Kumar, V., & Harmeling, C. M. (2018). Customer engagement marketing. Springer.
Payyanadan, R. P., & Lee, J. D. (2018). Understanding the ridesharing needs of older adults. Travel Behaviour and Society, 13(October), 155–164. https://doi.org/10.1016/j.tbs.2018.08.002
Penney, C., Vardaman, J., Marler, L., & Antin-Yates, V. (2019). An image theory of strategic decision-making in family businesses. Journal of Family Business Management, 9(4), 451–467. https://doi.org/10.1108/JFBM-05-2019-0032
Perera, B. Y., & Albinsson, P. A. (2018). Introduction: Sharing in modern societies. In P. A. Albinsson & B. Y. Perera (Eds.), The rise of the sharing economy: Exploring the challenges and opportunities of collaborative consumption (pp. 3–8). Praeger.
Phuong, N. N. D., & Trang, T. T. D. (2019). Repurchase intention: The effect of service quality, system quality, information quality, and customer satisfaction as mediating role: A PLS approach of m-commerce ride hailing service in Vietnam. Marketing and Branding Research, 5(2), 78–91.
Plenter, F. (2017). Sharing economy or skimming economy? A review on the sharing economy's impact. AIS Electronic Library (AISeL).
Pokorny, H., Holley, D., & Kane, S. (2017). Commuting, transitions and belonging: The experiences of students living at home in their first year at university. Higher Education, 74, 543–558. https://doi.org/10.1007/s10734-016-0063-3
Rad, M. H., Mojtahedi, M., & Ostwald, M. J. (2021). The integration of lean and resilience paradigms: A systematic review identifying current and future research directions. Sustainability, 13(16), 1–24. https://doi.org/10.3390/su13168893
Say, A. L., Guo, R. S. A., & Chen, C. (2021). Altruism and social utility in consumer sharing behavior. Journal of Consumer Behaviour, 20(6), 1562–1574. https://doi.org/10.1002/cb.1967
Shaheen, S. (2018). Shared mobility: The potential of ridehailing and pooling. In D. Sperling (Ed), Three revolutions (pp. 55–76). Island Press.
Sikder, S. (2019). Who uses ride-hailing services in the United States? Transportation Research Record, 2673(12), 40–54. https://doi.org/10.1177/0361198119859302
Sun, Q., He, Y., Wang, Y., & Ma, F. (2019). Evolutionary game between government and ride-hailing platform: Evidence from China. Discrete Dynamics in Nature and Society, 2019¸1–14.
Tang, B. J., Li, X. Y., Yu, B., & Wei, Y. M. (2020). How app-based ride-hailing services influence travel behavior: An empirical study from China. International Journal of Sustainable Transportation, 14(7), 554–568. https://doi.org/10.1080/15568318.2019.1584932
Tirachini, A. (2020). Ride-hailing, travel behaviour and sustainable mobility: An international review. Transportation, 47, 2011–2047. https://doi.org/10.1007/s11116-019-10070-2
Tirachini, A., & Del Río, M. (2019). Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour. Transport Policy, 82(October), 46–57. https://doi.org/10.1016/j.tranpol.2019.07.008
Tran, H. T. T., & Le, H. T. T. (2021). The impact of financial inclusion on poverty reduction. Asian Journal of Law and Economics, 12(1), 95–119. https://doi.org/10.1515/ajle-2020-0055
Van Tonder, E., & Petzer, D. J. (2021). Affective commitment, service quality and selected sub-dimensions of customer citizenship behaviour: A study of ride-hailing services. The TQM Journal, 33(6), 1263–1280. https://doi.org/10.1108/TQM-08-2020-0185
Vandaele, Y., & Ahmed, S. H. (2021). Habit, choice, and addiction. Neuropsychopharmacology, 46(4), 689–698.
Vidhate, D. A., & Kulkarni, P. (2018). Improved decision making in multiagent system for diagnostic application using cooperative learning algorithms. International Journal of Information Technology, 10, 201–209. https://doi.org/10.1007/s41870-017-0079-7
Von Gunten, C. D., & Scherer, L. D. (2019). Self–other differences in multiattribute decision making: Compensatory versus noncompensatory decision strategies. Journal of Behavioral Decision Making, 32(2), 109–123. https://doi.org/10.1002/bdm.2099
Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C. (2020). An empirical study of consumers’ intention to use ride-sharing services: Using an extended technology acceptance model. Transportation, 47, 397–415. https://doi.org/10.1007/s11116-018-9893-4
Wasan, P. (2018). Predicting customer experience and discretionary behaviors of bank customers in India. International Journal of Bank Marketing, 36(4), 701–725. https://doi.org/10.1108/IJBM-06-2017-0121
Wewege, L., Lee, J., & Thomsett, M. C. (2020). Disruptions and digital banking trends. Journal of Applied Finance and Banking, 10(6), 15–56.
Wirtz, J., So, K. K. F., Mody, M. A., Liu, S. Q., & Chun, H. H. (2019). Platforms in the peer-to-peer sharing economy. Journal of Service Management, 30(4), 452–483. https://doi.org/10.1108/JOSM-11-2018-0369
Wolf, V., Dobrucka, R., Przekop, R., & Haubold, S. (2021). Innovation strategies in the context of the paradigm of the five dimensions of innovation strategy. LogForum, 17(2), 205–211. http://doi.org/10.17270/J.LOG.2021.587
Wollenberg, A., & Waty, L. (2017). Perceived value and transportation references: A study of the ride-hailing transportation sector in Jakarta. Journal of Economics, Business and Management, 5(3), 138–142. https://doi.org/10.18178/joebm.2017.5.3.501
Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) model. Computers in Human Behavior, 67(February), 221–232. https://doi.org/10.1016/j.chb.2016.10.028
Xie, Y., Danaf, M., Azevedo, C. L., Akkinepally, A. P., Atasoy, B., Jeong, K., Seshadri, R., & Ben-Akiva, M. (2019). Behavioral modeling of on-demand mobility services: General framework and application to sustainable travel incentives. Transportation, 46, 2017–2039. https://doi.org/10.1007/s11116-019-10011-z
Yadav, A., & Bansal, S. (2021). Viewing marketing through entrepreneurial mindset: A systematic review. International Journal of Emerging Markets, 16(2), 133–153. https://doi.org/10.1108/IJOEM-03-2019-0163
Yang, Z., Van Ngo, Q., Chen, Y., Nguyen, C. X. T., & Hoang, H. T. (2019). Does ethics perception foster consumer repurchase intention? Role of trust, perceived uncertainty, and shopping habit. SAGE Open, 9(2), 1–13. https://doi.org/10.1177/2158244019848844
Yeh, H. (2020). Factors in the ecosystem of mobile payment affecting its use: From the customers' perspective in Taiwan. Journal of Theoretical and Applied Electronic Commerce Research, 15(1), 13–29. https://doi.org/10.4067/S0718-18762020000100103
Young, M., & Farber, S. (2019). The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey. Transportation Research Part A: Policy and Practice, 119(January), 383–392. https://doi.org/10.1016/j.tra.2018.11.018
Yuneline, M. H. (2019). Analysis of cryptocurrency’s characteristics in four perspectives. Journal of Asian Business and Economic Studies, 26(2), 206–219. https://doi.org/10.1108/jabes-12-2018-0107
Zamani, E. D., Choudrie, J., Katechos, G., & Yin, Y. (2019). Trust in the sharing economy: The AirBnB case. Industrial Management & Data Systems, 119(9), 1947–1968. https://doi.org/10.1108/IMDS-04-2019-0207
Zhang, H., Li, Y., Zhang, Q., & Chen, D. (2021). Route selection of multimodal transport based on China railway transportation. Journal of Advanced Transportation, 2021, 1–12. https://doi.org/10.1155/2021/9984659
Zhang, Y., Sun, J., Hu, Z., Wang, W., & Wu, C. (2021). Residents’ satisfaction with cultural services provided by property managers in Chinese housing communities. Social Behavior and Personality: An International Journal, 49(6), 1–15. https://doi.org/10.2224/sbp.9845
Zhou, L., Zhang, Y. Y., Li, S., & Liang, Z. Y. (2018). New paradigms for the old question: Challenging the expectation rule held by risky decision-making theories. Journal of Pacific Rim Psychology, 12, 1–10. https://doi.org/10.1017/prp.2018.4
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