Nothing Special   »   [go: up one dir, main page]

skip to main content
article

Determinants of Intention to Use Ride-Hailing Services in Vietnam: : An Integrated Model of Perceived Value and Trust Transfer Theory

Published: 26 October 2022 Publication History

Abstract

The rise of ride-hailing services—a unique transportation technology that has recently been progressively popular worldwide—has revolutionized the transportation business. They currently make up the majority of platform economy activities and are crucial to the functioning of our cities. Because it is crucial to the long-term financial performance and widespread service promotion of ride-hailing service firms, it is vital to comprehend the intention to use ride-hailing services. This study aims to investigate the factors influencing people's intentions to use ride-hailing services in Vietnam using the value-based adoption model (VAM). It will also look at the impact of the network effect and the trust transfer process in ride-hailing services to determine how these factors interact.

References

[1]
Chu, C. W., & Lu, H. P. (2007). Factors influencing online music purchase intention in Taiwan: An empirical study based on the value‐intention framework. Internet Research, 17(2), 139–155.
[2]
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 18(1), 39–50.
[3]
Google, Temasek, & Bain. (2019). e-Conomy SEA 2019 Report. Author.
[4]
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis. Academic Press.
[5]
Hsu, C. L., & Lin, J. C. C. (2018). Exploring factors affecting the adoption of internet of things services. Journal of Computer Information Systems, 58(1), 49–57.
[6]
Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424–440.
[7]
Kim, B., & Han, I. (2009). What drives the adoption of mobile data services? An approach from a value perspective. Journal of Information Technology, 24(1), 35–45.
[8]
Kim, D., Chun, H., & Lee, H. (2014). Determining the factors that influence college students’ adoption of smartphones. Journal of the Association for Information Science and Technology, 65(3), 578–588.
[9]
Kim, D. J. (2008). Self-perception-based versus transference-based trust determinants in computer-mediated transactions: A cross-cultural comparison study. Journal of Management Information Systems, 24(4), 13–45.
[10]
Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
[11]
Kim, Y., Park, Y., & Choi, J. (2017). A study on the adoption of IoT smart home service: Using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149–1165.
[12]
Kwon, H. K., & Seo, K. K. (2013). Application of value-based adoption model to analyze SaaS adoption behavior in Korean B2B cloud market. International Journal of Advancements in Computing Technology, 5(12), 368.
[13]
Lee, J., Ryu, M. H., & Lee, D. (2019). A study on the reciprocal relationship between user perception and retailer perception on platform-based mobile payment service. Journal of Retailing and Consumer Services, 48, 7–15.
[14]
Lee, K. C., Kang, I., & McKnight, D. H. (2007). Transfer from offline trust to key online perceptions: An empirical study. IEEE Transactions on Engineering Management, 54(4), 729–741.
[15]
Lee, Z. W., Chan, T. K., 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.
[16]
Li, B., Zhang, D., Sun, L., Chen, C., Li, S., Qi, G., & Yang, Q. (2011, March). Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. In 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) (pp. 63-68). IEEE.
[17]
Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85–108.
[18]
Lin, J., Lu, Y., Wang, B., & Wei, K. K. (2011). The role of inter-channel trust transfer in establishing mobile commerce trust. Electronic Commerce Research and Applications, 10(6), 615–625.
[19]
Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.
[20]
LinT. C.LeeC. K.LinJ. C. C. (2010, June). Determinants of Enterprise 2.0 adoption: A value-based adoption model approach. In 2010 International Conference on Information Society (pp. 12-18). IEEE. 10.1109/i-Society16502.2010.6018756
[21]
Lin, T. C., Wu, S., Hsu, J. S. C., & Chou, Y. C. (2012). The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1), 63–75.
[22]
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, 2020.
[23]
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, 459–470.
[24]
MittendorfC. (2018, January). Trust and distrust in two-sided markets: an example in the sharing economy. Proceedings of the 51st Hawaii International Conference on System Sciences. 10.24251/HICSS.2018.673
[25]
Nguyen-Phuoc, D. Q., Su, D. N., Tran, P. T. K., Le, D. T. T., & Johnson, L. W. (2020). Factors influencing customer’s loyalty towards ride-hailing taxi services–A case study of Vietnam. Transportation Research Part A, Policy and Practice, 134, 96–112.
[26]
Park, K., Kwak, C., Lee, J., & Ahn, J. H. (2018). The effect of platform characteristics on the adoption of smart speakers: Empirical evidence in South Korea. Telematics and Informatics, 35(8), 2118–2132.
[27]
Shao, Z., & Yin, H. (2019). Building customers’ trust in the ridesharing platform with institutional mechanisms: An empirical study in China. Internet Research, 29(5), 1040–1063.
[28]
SiriborvornratanakulT. (2022). A New Human Factor Study in Developing Practical Vision-Based Applications with the Transformer-Based Deep Learning Model. In International Conference on Human-Computer Interaction (pp. 436-447). Springer. 10.1007/978-3-031-05643-7_28
[29]
Siriborvornratanakul, T. (2022). Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML. Journal of Big Data, 9(1), 1–17. 35879937.
[30]
Stewart, K. J. (2003). Trust transfer on the world wide web. Organization Science, 14(1), 5–17.
[31]
Sullivan, Y. W., & Kim, D. J. (2018). Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments. International Journal of Information Management, 39, 199–219.
[32]
Tirachini, A. (2020). Ride-hailing, travel behaviour and sustainable mobility: An international review. Transportation, 47(4), 2011–2047.
[33]
Wang, Y. S., Yeh, C. H., & Liao, Y. W. (2013). What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy. International Journal of Information Management, 33(1), 199–208.
[34]
Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139–153.
[35]
Xiao, L., Fu, B., & Liu, W. (2018). Understanding consumer repurchase intention on O2O platforms: An integrated model of network externalities and trust transfer theory. Service Business, 12(4), 731–756.
[36]
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.
[37]
Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., & Zhang, W. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C, Emerging Technologies, 98, 207–220.
[38]
Zhao, L., & Lu, Y. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems, 53(4), 825–834.
[39]
Zhu, G., So, K. K. F., & Hudson, S. (2017). Inside the sharing economy: Understanding consumer motivations behind the adoption of mobile applications. International Journal of Contemporary Hospitality Management.

Index Terms

  1. Determinants of Intention to Use Ride-Hailing Services in Vietnam: An Integrated Model of Perceived Value and Trust Transfer Theory
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image International Journal of Software Innovation
    International Journal of Software Innovation  Volume 10, Issue 1
    Sep 2022
    2247 pages
    ISSN:2166-7160
    EISSN:2166-7179
    Issue’s Table of Contents

    Publisher

    IGI Global

    United States

    Publication History

    Published: 26 October 2022

    Author Tags

    1. Network Effect
    2. Perceived Benefit
    3. Perceived Enjoyment
    4. Perceived Fee
    5. Perceived Risk
    6. Perceived Sacrifice
    7. Perceived Usefulness
    8. Technicality
    9. Trust
    10. VAM

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 0
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 15 Jan 2025

    Other Metrics

    Citations

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media