DECISION TO PURCHASE ONLINE AIRLINE TICKETS OF HO CHI MINH CITY CUSTOMERS

Authors

  • Ha Nam Khanh Giao

DOI:

https://doi.org/10.32461/2226-3209.1.2018.178809

Abstract

Abstract. The study aimed to identify and measure the factors affecting the decision to purchase online airline tickets in Ho Chi Minh City, Vietnam (HCMC) by surveying 536 customers aged 18 and over who bought airline tickets online and live in Ho Chi Minh City. The SPSS 20 tool was used to analyze the reliability of the scale through the Cronbach's Alpha coefficient, EFA exploratory factor analysis, AMOS 22 software to calibrate the scale by CFA confirmatory factor analysis, and evaluated by linear SEM analysis. Research results show that positive impact factors, decreasing by their strength, include: Perceived benefit, Perceived ease of use, Reputation of the airline, Subjective norm, Reliability. Meanwhile, Risk perception has a negative impact on the intention to buy airline tickets of customers. Research also indicates that the intention to purchase airline tickets online has an impact on purchase decisions. The results also help managers recognize the importance of the factors that affect the buying behavior of the consumers, and
consequently make appropriate strategic adjustments and actions in the competitive process for online airline tickets presently.
Keywords: online airline ticket, HCMC consumers, purchase intention, purchase decision

References

Ajzen, I., & Fishbein, M., 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. MA:

Addison-Wesley.

Ajzen, I.,1991. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), pp. 179-211.

Bagozzi, R.P. and P.R. Warshaw, 1990. Trying to Consume. Journal of Consumer Research, 17, pp. 127-140.

Bauer, R. A., 1960. Consumer behavior as risk-taking. In D. Cox (Ed.), Dynamic marketing for a changing world (pp. 389-398).

Chicago: American Marketing Association.

Bollen, K. A., 1989. Structural Equations with Latent Variables (1st ed.). NY: Wiley.

Cunningham, B., Cunningham, M.A. & Saigo B.W., 2005. Environmental Science: A Global Concern (8 th ed.). McGraw Hill,

Boston.

Davis, F. D., 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS

Quarterly, 13(3), pp. 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R., 1989. User Acceptance of Computer Technology: A Comparison of Two

Theoretical Models. Management Science, 35(8), pp. 928-1003.

Gefen, D. and Straub, D. W., 200. The Relative Importance of Perceived Ease-of-Use in IS Adoption: A Study of E-Commerce

Adoption. Journal of the Association for Information Systems, 1(8), pp. 1-30.

Hasslinger Anders, Selma Hodzic, Claudio Opazo, 2007. Customer behaviour in Online Shopping. Kristianstad University,

Master thesis.

Häubl, G. and Trifts, V., 2000. Consumer decision making in online shopping environments: The effects of interactive decision

aids. Marketing Science, 19(1), pp. 4-21.

Hutton, J. G., Goodman, M. B., Alexander, J. B., & Genest, C. M., 2001. Reputation management: the new face of corporate

public relations? Public Relations Review, pp. 247-261.

Kamtarin Milad, 2012. The Effect of Electronic Word of Mouth, Trust and Perceived Value on Behavioral Intention from the

Perspective of Consumers. International Journal of Academic Research in Economics and Management Sciences, 1(4), pp. 56-

Kim, H.-b., Kim, T., & Shin, S. W., 2009. Modeling roles of subjective norms and eTrust in customers' acceptance of airline

B2C eCommerce websites. Tourism Management, pp. 266-277.

Kim, L. H., Kim, D. J., & Leong, J. K., 2005. The Effect of Perceived Risk on Purchase Intention in Purchasing Airline Tickets

Online. Journal of Hospitality & Leisure Marketing, pp. 33-53.

Kline, R. B., 2010. Principles and Practice of Structural Equation Modeling (3rd ed.). NY: The Guilford Press.

Koppius, O., Speelman, W., Stulp, O., Verhoef, B., & Heck, E. V., 2005. Why are customers coming back to buy their airline

tickets online? theoretical explanations and empirical evidence. ICEC '05 Proceedings of the 7th international conference on

Electronic commerce (pp. 319-326). New York: ACM.

Li Na and Zhang Ping, 2002. Consumer online shopping attitudes and behavior: an assessment of research. Eighth Americas

Conference on Information Systems.

Mann Chris & Stewart Fiona, 2000. Internet Communication and Qualitative Research: A Handbook for Researching Online.

London: Sage.

Mathieson, K., 1991. Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned

Behavior. Information Systems Research, 2(3), pp. 173-191.

Mesenbourg,T., 2000. Measuring electronic business, definitions and underlying concepts. United States Census Bureau,

September 2000.

Mohsen Manzari, 2008. Intention to use Internet Reservation Systems by Iranian Airline Passengers, Lulea University of

Technology.

Nguyen Le Phương Thanh, 2013 .Factors affecting customers’intention to buy online. MBA Thesis of University of Economics

HoChiMinh City.

Nguyen, N., & Leblanc, G., 2001. Corporate image and corporate reputation in customers’ retention decisions in services.

Journal of Retailing and Consumer Services, 8(4), pp. 227-236.

Rosen A., 2000. The E-commerce Question and Answer Book. USA, American Management Association.

Tran Tri Dung, 2009. Factors affecting customers’ decision to buy ticket online. MBA Thesis of University of Technology,

Vietnam National University HoChiMinh City.

Venkatesh, V., & Davis, F. D., 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field

Studies. Management Science, 46(2), pp. 186-204.

Venkatesh, V., Morris, M. M., Davis, G. B., & Davis, F. D., 2003. User Acceptance of Information Technology: Toward a

Unified View. MIS Quarterly, 27(3), pp. 425-478.

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