Intention to use bike-booking application: the case of students in Ho Chi Minh City

Main Article Content

Phuong Viet Le-Hoang


This study aims to determine the factors that influence the intention to use the bike-booking application and measure the influence of the elements on the behavior intention to use the bike-booking application for university students in Ho Chi Minh City. Based on the research results, the author gives some managerial implications to increase customers' choice of bike-booking applications to increase the attractiveness of customers to choose apps. With the number of surveyed questionnaires is 200, the author collected 177 valid respondents, and the study results showed that the scales used in the model meet the requirement about reliability and validity. Research has shown that factors such as trust, perceived ease of use, subjective norm, perceived usefulness, perceived price level positively influence the intention to use a bike-booking application for university students in Ho Chi Minh City. In which the perceived usefulness has the most substantial impact, the subjective norm has the lowest effect on behavior intention. The second most effective one is the perceived price level; the third most effective is the ease of use; the fourth most effect is trust.


Download data is not yet available.


Metrics Loading ...

Article Details



AGARWAL, R.; PRASAD, J. (1999) Are Individual Differences Germane to the Acceptance of New information Technologies. Decision sciences, v. 30, n. 2, p. 361-391.

AJZEN, I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, v. 50, n. 2, p. 179-211.

CLARKE III, I. (2001) Emerging value propositions for m-commerce. Journal of Business Strategies, v. 18, n. 2, p. 133-148.

DAVIS, F. D.; BOGOZZI, R. P.; WARSHAW, P. R. (1989) User acceptance of computer technology: A comparison of two theoretical models. Management Science, v. 35, p. 982-1003.

DAVIS, F. D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, v. 13, p. 39-319.

DODDS, W. B.; MONROE, K. B.; GREWAL, D. (1991) The effects of price, brand and store information on buyers' product evaluations. Journal of Marketing Research, v. 28, n. 3, p. 307–319.

FAN, Y.; SALIBA, A.; KENDALL, E. A.; NEWMARCH, J. (2005) Speech interface: an enhancer to the acceptance of m-commerce application. Sydney, Australia: Proceedings of the International Conference on Mobile Business.

FARIN, N. J.; RIMON, M. N. A. A.; MOMEN, S.; UDDIN, M. S.; MANSOOR, N. (2016) A framework for dynamic vehicle pooling and ridesharing system. In Computational Intelligence (IWCI, p. International Workshop on IEEE, 204-208.

FERRIS, S. P.; HAUGEN, R. A.; MAKHIJA, A. K. (1988) Predicting contemporary volume with historic volume at differential price levels: evidence supporting the disposition effect. Journal of Finance, v. 43, n. 3, p. 677–697.

FISHBEIN, M.; AJZEN, I. (1975) Belief, attitude, intention, and behavior: An introduction to theory and research. MA: Addison-Wesley.

GATIGNON, H.; XUEREB, J. M. (1997) Strategic orientation of the firm and new product performance. Journal of Marketing Research, v. 34, p. 77-90.

GODEY, B.; PEDERZOLI, D.; AIELLO, G.; DONVITO, R.; CHAN, P.; OH, H.; WEITZ, B. (2012) Brand and country-of-origin effect on consumers' decision to purchase luxury products. Journal of Bussiness Research, v. 65, n. 10, p. 1461–1470.

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, v. 44, p. 201–213.

HAIR, F. J.; BACK, C. W.; BABIN, J. B.; ANDERSON, E. R. (2014) Multivariate Data Analysis, London, Pearson.

HOLSAPPLE, C. W.; SASIDHARAN, S. (2005) The dynamics of trust in online B2C e-commerce: a research model and agenda. Information Systems and E-business Management, v. 3, n. 4, p. 377-403.

HONG, J. C.; LIN, P. H.; HSIEH, P. C. (2017) The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computer in Human Behavior, v. 67, p. 264-272.

HSU, C.-L.; LU, H.-P. (2004) Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management, v. 41, n. 7, p. 853–868.

KIM, J. (2019) The impact of different price promotions on customer retention. Journal of Retailing and Consumer Services, v. 46, p. 95–102.

KOTLER, P.; ARMSTRONG, G. (2017) Principle of Marketing, 17th edition. Boston, MA: Pearson Education.

KOUFARIS, M.; HAMPTON-SOSA, W. (2004) The development of initial trust in an online company by new customers. Information and Management, v. 41, n. 3, p. 377–397.

LEE, W. O.; WONG, L. S. (2016) Determinants of Mobile Commerce Customer Loyalty in Malaysia. Procedia-Social and Behavioral Sciences, v. 224, p. 60-67.

LICHTENSTEIN, D. R.; BLOCK, P. H.; BLACK, W. C. (1988) Correlates of price acceptability. Journal of Consumer Research, v. 15, n. 2, p. 243–252.

MATHIESON, K. (1991) Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, v. 2, n. 3, p. 173–191.

MOHAMAD, W. N. A. A. B. W.; FUAD A. F. M.; SHAHIB N. S.; AZMI A.; KAMAL S. B. M.; ABDULLAH, D. (2016) A Framework of Customer's Intention to use Uber Service in Tourism Destination. International Academic Research Journal of Business and Technology, v. 2, n. 2, p. 102-106.

NUNNALLY, J. C.; BERNSTEIN, I. H. (1994) The Assessment of Reliability. Psychometric Theory, v. 3, p. 248-292.

RAMAYAH, T.; JAAFAR, M. (2008) Technology usage among construction students: the moderating role of gender. Journal of Construction in Developing Countries, v. 13, n. 1, p. 63–77.

RENKO, S.; DRUZIJANIC, M. (2014) Perceived usefulness of innovative technology in retailing: consumers׳ and retailers׳ point of view. Journal of Retailing and Consumer Services, v. 21, n. 5, p. 836–843.

ROGERS, E. M. (1995) Diffusion of Innovations. 4th Edition, the Free Press, New York.

SEPTIANI, R.; HANDAYANI, P. W.; AZZAHRO, F. (2017) Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK. Indonesia: Faculty of Computer Science, Universitas Indonesia.

TABACHNICK, B. G.; FIDELL, L. S. (2014) Using Multivariate Statistics, 6th edition, Pearson publisher.

TANIMUKTIA, I. P.; WIBISONOA, C.; WARDHONOA, V. J. W.; ANGGAWIJAYA, A. H. P. (2016) The effect of perceived usefulness, perceived ease of use, and trustworthiness on the consumer’s intention to use (a case study of go-jek indonesia) Indonesia: Parahyangan Catholic Unversity.

THAICHON, P.; QUACH, T. N. (2015) The relationship between service quality, satisfaction, trust, value, commitment and loyalty of Internet service providers' customers. Journal of Global Scholars of Marketing Science, v. 25, n. 4, p. 295–313.

THAICHON, P.; SHARMA, K.; RAINA, K.; KAPOOR, S. (2016) Analysis of consumers' intention values in the choice of a mobile service provider. Journal of Retailing and Consumer Services, v. 51, p. 67–82.

VENKATESH, V.; MORRIS, M. G. (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, v. 24, n. 1, p. 115–139.

WATANABE, C.; NAVEED, K.; NEITTAANMÄKI, P. (2016) Co-evolution of three mega-trends nurtures un-captured GDP–Uber’s ride-sharing revolution. Technology in Society, v. 46, p. 164-185.

WENG, G. S.; ZAILANI, S.; IRANMANESHB, M.; HYUN, S. (2017) Mobile taxi booking application service’s continuance usageintention by users. Transportation Research Part D: Transport and Environment, v. 57, p. 207-216.

Most read articles by the same author(s)