THE OUTSTANDING SUCCESS OF GRAB AND IMPLICATIONS TO THE TRADITIONAL TAXI IN VIETNAM
DOI:
https://doi.org/10.61841/cfgjgd56Keywords:
Grab, traditional taxi, consumer behavior, VietnamAbstract
Background: Recently, a new business model with Grab’s smartphone apps is growing stronger and more popular in Vietnam. The new service type brings its consumers benefits that traditional players cannot such as lower price, convenience, luxury, etc. This inherently has changed Vietnamese using the behavior of the Taxi service. Consequently, this modern service leads to rapid declines in the traditional taxi industry.
The context and purpose of the study: For these reasons, this study concentrates on enquiring about factors which have affected and changed the Vietnamese consumer behavior in using taxi services in recent years. As a result, six factors are drawn from the given literature with six hypotheses being built in the research model.
Methods: To achieve the research objective, this article applies the exploratory factor analysis (EFA) and multivariate linear regression to analyze the data collected from 280 participants who answered the survey questionnaires related to the use of Grab's taxi services.
Results: The final findings show that Grab using the behavior of consumers in Vietnam is mostly affected by the value of prices, the attractiveness of personal vehicles, the influence of society and the experiences.
Conclusions: Under the perspective of managers, clearly finding out the factors can helpfully bring them suggestions in building and creating appropriate business strategies and allocating key investment resources. Finally, this article figures out implications in order to improve the traditional taxi industry in Vietnam.
Downloads
References
1. Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Processes, 50: 179–211.
2. Beirao, Gabriela, & Cabral, J. (2007). Understanding attitudes towards public transport and private car: A qualitative study. Transport Policy, 14(6), 478–489.
3. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. doi:10.1007/bf023105
4. Hair, J.F., Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (2014). Multivariate Data Analysis (7th ed.). Pearson New International Edition Macmillan: Harlow, UK.
5. Hoyer, W. D., & MacInnis, D. J. (2008). Consumer Behaviour (5th ed.). NY: Cengage Learning.
6. Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48, 1–8.
7. Jeffrey, I., & Hristina, D. (2017). Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns. Journal of Retailing, 93(March), 7–28.
8. Joshua, A. J., & Koshy, M. P. (2011). Usage patterns of electronic banking services by urban educated customers: Glimpses from India. Journal of Internet Banking and Commerce, 16, 1–12.
9. Kotler, P., Wong, V., Saunders, J., & Armstrong, G. (2005). Principles of Marketing. Essex: Pearson Education Limited.
10. Kotler, P., & Keller, K. L. (2012). Marketing Management. New Jersey: Prentice Hall Inc.
11. Kotler, P., & Armstrong, G. (2013). Principles of Marketing. Upper Saddle River, New Jersey: Pearson Education Inc.
12. Mackett, R., Paulley, N., Preston, J. M., Shires, J., Titheridge, H., Wardman, M., White, P., & Balcombe, R. (2004). The Demand for Public Transport: A Practical Guide. TRL Limited.
13. Norris, M., & Lecavalier, L. (2009). Evaluating the Use of Exploratory Factor Analysis in Developmental Disability Psychological Research. Journal of Autism and Developmental Disorders, 40(1), 8–20. doi:10.1007/s10803-009-0816-2
14. Rencher, A. C., & Christensen, W. F. (2012). Methods of Multivariate Analysis (3rd ed.). Chapter 10: Multivariate regression – Introduction. Wiley Series in Probability and Statistics.
15. Schiffman, L. G., & Kanuk, L. L. (2010). Consumer Behaviour (10th ed.). Upper Saddle River, NJ: Pearson Education.
16. Sheth, J., Newman, B., & Gross, B. (1991a). Why We Buy What We Buy: A Theory of Consumption Values. Journal of Business Research, 22, 159–170.
17. Sheth, J., Newman, B., & Gross, B. (1991b). Consumption Values and Market Choice. Cincinnati, OH: South-Western Publishing.
18. Southey, G. (2011). The Theories of Reasoned Action and Planned Behaviour Applied to Business Decisions: A Selective Annotated Bibliography. Journal of New Business Ideas & Trends, 9(1), 43–50.
19. Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision Making Processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60.
20. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory. MIS Quarterly, 36, 157–178.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
