FACTORS INFLUENCING ONLINE PURCHASING BEHAVIOR OF GEN Y IN MALAYSIA

Teddy Lian Kok Fei

Abstract


Generation Y are already the biggest group of consumers in the world, with 2 billion people or 25 per cent of the world’s population. There is therefore, a need to understand their spending habits. Most of the Gen Y live in Asia, with 400 million in Chine, more than five times the number in the United States. As such, they will shape the global economy in the years to come. In Malaysia, 29 per cent of the population are Gen Y and they spend 1.4 times more than other age groups and they buy mainly online. In this research, the impact of various factors on the online purchasing behavior of Gen Y in Malaysia is assessed. Perceived ease of use, perceived usefulness, self-efficacy, perceived value, trust, price consciousness, flow and habit are included in our framework to explain online purchase intentions. Both direct and mediated relationships are examined using partial least squares structural equation modeling. Our framework satisfies convergent and discriminant validity, and has satisfactory R2, effect size and predictive ability.

 

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generation Y, online purchasing intentions, mediation, Malaysia

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Amin, M., Rezaei, S., and Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review, 5 (3), 258-274.

Amoroso, D., and Lim, R. (2017). The mediating effect of habit on continuance intention. International Journal of Information Management, 37, 693-702.

Chang, H. H., and Chen, S. W. (2008). The impact of online store environment cues on purchase intention. Online Information Review, 32 (6), 818-841.

Chen, Y-H., and Barnes, S. (2007). Initial trust and online buyer behavior. Industrial Management and Data Systems, 107 (1), 21-36.

Chin, C. (2016 October 23). Malaysians not buying into online shopping. The Star, accessed at www.thestar.com.my.

Chiu, C-M., Hsu, M-H., Lai, H., and Chang, C-M. (2010). Exploring online repeat purchase intentions: The role of habit. Conference Paper presented at 2010 Pacific Asia Conference on Information System, accessed at www.aisel.aisnet.org.

Chiu, C-M., Hsu, M-H., Lai, H., and Chang, C-M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53, 835-845.

Chou, T. J., and Ting, C. C. (2004). The role of flow experience in cyber-game addiction. Cyber Psychology and Behavior, 6 (6), accessed at https://doi.org/10-1089/109493103322725469.

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Mahwah, NJ: Lawrence Erlbaum.

Diamantopoulos, A., and Siguaw, A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17 (4), 263-282.

Faqih, K.M.S. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions: Perspective of Technology Acceptance Model. International Management Review, 9 (1), 67-77.

Gan, C., and Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, 27 (4), 772-785.

Gao, L., and Bai, X. (2014). Online consumer behavior and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21, 653-665.

Gefen, D., and Straub, Straub, D.W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. Omega, 32 (6), 407-424.

Gefen, D., Karahanna, E., and Straub, D.W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27 (1), 51-90.

Gao, L., and Bai, X. (2014). Online consumer behavior and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21, 653-665.

George, J. F. (2004). The theory of planned behavior and internet purchasing. Internet Research, 14 (3), 198-212.

Hair, J. F., Hult, G. T. M, Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles: Sage.

Hajli, N., Sims, J., Zadeh, A. H., and Richard, M-O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141.

Hausman, A. V., and Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62 (1), 5-13.

Hoffman, D. L., and Novak, T. P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing, 23, 23-34.

Hull, D. C., Williams, G. A., and Griffiths, M. D. (2013). Video game characteristics, happiness and flow as predictors of addiction among video game players: A pilot study. Journal of Behavioral Addictions, 2 (3), 145-152.

Jeng, S. P., and Lo, M. F. (2019). Lowest price guarantees on airline websites: perceived believability, perceived value and purchase intentions. Journal of Air Transport Management, 75, 85-91.

Jung, K. W., Cho, Y. C., and Lee, S. (2014). Online shoppers’ response to price comparison sites. Journal of Business Research, 67 (10), 2079-2087.

Khalifa, M., Limayen, M., and Liu, V. (2002). Online customer stickiness: A longitudinal study. Journal of Global Information Management, !0 (3), 1-14.

Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling. New York: The Guilford Press.

Kim, M., and Thapa, B. (2018). Perceived value and flow experience: Application in a nature-based tourism context. Journal of Destination Marketing & Management, 8, 373-384.

Kuo, Y-F., Wu, C.-M., and Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25, 887–896

Lee, K-F., Haque, A., and Maulan, S. (2018). Understanding the effect of consumer perceptions on buying intention for air tickets online in Malaysia. International Journal of Academic Research in Business & Social Sciences, 8 (2), 424-439.

Lee, M. K. O., and Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6 (1), 75-91.

Lee, S. M., and Chen, L. (2010). The impact of flow on online consumer behavior. Journal of Computer Information Systems, 50 (4), 1-10.

Liao, C., Palvia, P., and Lin, H-N. (2006). The roles of habit and web site quality in e-commerce. International Journal of Information Management, 26 (6), 469-483.

Lim, Y. S., Omar, A., and Ramayah, T. (2015). Online Purchase: A study of Generation Y in Malaysia. International Journal of Business and Management, 10 (6), 1-7.

Lin, C., and Lekhawipat, W. (2014). Factors affecting online repurchase intention. Industrial Management and Data Systems, 114 (4), 597-611.

Lindblom, A., Lindblom, T., and Wechtler, H. (2018). Collaborative consumption as C2C trading: Analyzing the effects of materialism and price consciousness. Journal of Retailing and Consumer Services, 44, 244-252.

Lok, S. Y. P., Vui, C. N., Chuen, S. K., and Wei, L. H. (2019). Modelling perceived value, trust, satisfaction and consumer commitment: An analysis of fast moving consumer goods in Malaysia. Global Business and Management Research, 11 (2), 185-196.

Miao, L., and Mattila, A. S. (2007). How and how much to reveal? The effects of price transparency on consumers’ price perceptions. Journal of Hospitality and Tourism Research, 31 (4), 530-545.

Noh, M., Lee, K., and Garrison, G. (2013). Effects of collectivism on s-commerce use and the moderating effect of price consciousness. Journal of Electronic Commerce Research, 14 (3), 244-260.

Novak, T. P., Hoffman, D. L., and Yung, Y-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science 19 (Winter), 22-42.

Qureshi, I., Fang, Y., Ramsey, E., McCole, P., Ibbotson, P., and Compeau, D. (2007). Understanding online customer repurchasing intention and the mediating role of trust – an empirical investigation in two developed countries. European Journal of Information Systems, 18, 205-222.

Ramayah, T., and Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management, 3 (3), 36-51.

Ramayah, T, Rahman, S. A., and Ling. N. C. (2018). How do Consumption Values Influence Online Purchase Intention among School Leavers in Malaysia? Review of Business Management, 20 (4), 638-654.

Rau, P-L., Peng, S-Y., and Yang, C-C. (2006). Time distortion for expert and novice online game players. Cyber Psychology & Behavior, 9 (4), 396-403.

Ryu, K., Han, H. and Jang, S. S. (2010). Relationships among hedonic and utilitarian values, satisfaction and behavioral intentions in the fast-casual restaurant industry. International Journal of Contemporary Hospitality Management, 22 (3), 416-432.

See-Yan, L. (2018 August 25). Millennial moment: Coming of age of the world’s big spenders. The Star, accessed at www.thestar.com.my.

Tai, C. L. (2013). The impact of utilitarian and hedonic motivation on habit and online brosers’ behaviors. Proceedings of the International Conference on Future Trends in Computing and Communication. Retrieved from https://www.semanticscholar.org.

Tan, F. B., Yan, L., and Urquhart, C. (2007). The effect of cultural differences on attitude, peer influence, external influence and self-efficacy in actual online shopping behavior. Journal of Information Science and Technology, 4 (1), 3-23.

Teoh, W. M-Y., Chong, S. C., Lin, B., and Chua, J. W. (2013). Factors affecting consumers’ perception of electronic payment: an empirical analysis. Internet Research, 23 (4), 465-485.

Van der Heijden, H., Verhagen, T., Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12, 41-48.

Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation and motivation into the Technology Acceptance Model. Information Systems Research, 11 (4), 342-365.

Wang, L. C., and Hsiao, D. F. (2012). Antecedents of flow in retail store shopping. Journal of Retailing and Consumer Services, 19 (4), 381-389.

Wu, J. J., and Chang, Y. S. (2015). Towards understanding members’ interactivity, trust and flow in online travel community. Industrial Management & Data Systems, 105 (7), 935-954.

Vijaindren, A. (2017 July 9). Impulse buying: Gen Y face online shopping debt trap. The Straits Times, accessed at www.nst.com.my.

Vinod, T. A., Subhash, D. A., Tiwari, S. K., and Jawed, M. S. Examining the role of perceived customer value in online shopping. Indian Journal of Economics & Business, 14 (2), 235-244.

Yang, Z., Petersen, R. T. (2004). Customer perceived value, satisfaction and loyalty: The role of switching costs. Psychology and Marketing, 21 (10), 799-822.

Yayla, A., and Hu, Q. (2007). User Acceptance of E-Commerce Technology: A Meta-Analytic Comparison of Competing Models. Proceedings of the 2017 European Conference on Information Systems. Retrieved from https://aisel.aisnet.org/ecis2007/5.

Zamzuri, N. H., Kassim, E. S., Shahrom, M., Humaidi, N., and Zakaria, N. (2018). Entertainment Gratification, Informative Gratification, Web Irritation and Self-Efficacy as Motivational Factors to Online Shopping Intention. Management & Accounting Review, 17 (3), 95-108.

Zhang, S.-N., Li,. Y.-Q., Liu, C.-H., and Ruan, W.-Q. (2019). Journal of Travel & Tourism Marketing, 36 (6), 710-728.


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