Influence of augmented reality technology on online shopping intention: Case study of the cosmetic industry in Vietnam

Keywords

AR technology
shopping intention
online cosmetics công nghệ AR
ý định mua
mỹ phẩm
trực tuyến

Abstract

Online shopping for cosmetics is booming as technology advances rapidly. This study explores the impact of factors influencing customers purchase intentions in Vietnam through augmented reality (AR) technology features. The study uses a quantitative method to analyze data from 238 customers who have used AR technology while shopping. The data is then analyzed using the PLS-SEM method. The research shows that the novelty, interactivity, and attractiveness of AR technology affect technology acceptance attributes, such as ease of use, usefulness, enjoyment, and subjective norms. However, regarding purchase intention, the role of AR's usefulness and enjoyment does not show statistical significance. Therefore, in the current context, businesses should focus on researching, applying, and enhancing the new and attractive features of AR technology so that customers can easily access and use it, leading to a better shopping experience when purchasing cosmetics online.

https://doi.org/10.26459/hueunijed.v134i5A.7592

References

  1. Statista Research Department (2023), E-commerce in Vietnam - statistics & facts, Statista.
  2. Kim, J. and Forsythe, S. (2008), Adoption of Virtual Try-on technology for online apparel shopping, Journal of Interactive Marketing, 22(2), 45–59, doi: 10.1002/dir.20113.
  3. Whang, J. B., Song, J. H., Choi, B., and Lee, J.-H. (2021), The effect of Augmented Reality on purchase intention of beauty products: The roles of consumers’ control, Journal of Business Research, 133, 275–284, doi: 10.1016/j.jbusres.2021.04.057.
  4. Nikhashemi, S. R., Knight, H. H., Nusair, K., and Liat, C. B. (2021), Augmented reality in smart retailing: A (n) (A) Symmetric Approach to continuous intention to use retail brands’ mobile AR apps, Journal of Retailing and Consumer Services, 60, 102464, doi: 10.1016/j.jretconser.2021.102464.
  5. Vieira, V. A., Rafael, D. N., and Agnihotri, R. (2022), Augmented reality generalizations: A meta-analytical review on consumer-related outcomes and the mediating role of hedonic and utilitarian values, Journal of Business Research, 151, 170–184, doi: 10.1016/j.jbusres.2022.06.030.
  6. Võ Kim Nhạn (2022), Công nghệ thực tế ảo tăng cường có phải là một công cụ hiệu quả trong bối cảnh hiện nay không? Vai trò của sự trải nghiệm đắm chìm, Tạp chí nghiên cứu Kinh tế và Kinh doanh Châu Á, 33(3), [Online]. Available: http://digital.lib.ueh.edu.vn/handle/UEH/63253.
  7. Zhou, F., Duh, H. B.-L., and Billinghurst, M. (2008), Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR, in 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, 193–202. doi: 10.1109/ISMAR.2008.4637362.
  8. Dacko, S. G. (2017), Enabling smart retail settings via mobile augmented reality shopping apps, Technological Forecasting and Social Change, 124, 243–256, doi: 10.1016/j.techfore.2016.09.032.
  9. Pearson, J., Naselaris, T., Holmes, E. A., and Kosslyn, S. M. (2015), Mental Imagery: Functional Mechanisms and Clinical Applications, Trends in Cognitive Sciences, 19(10), 590–602, doi: 10.1016/j.tics.2015.08.003.
  10. Azuma, R. T. (1997), A Survey of Augmented Reality, Presence: Teleoperators & Virtual Environments, 6(4), 355–385, doi: 10.1162/pres.1997.6.4.355.
  11. McLean, G. and Wilson, A. (2019), Shopping in the digital world: Examining customer engagement through augmented reality mobile applications, Computers in Human Behavior, 101, 210–224, doi: 10.1016/j.chb.2019.07.002.
  12. Riar, Marc, Korbe Jakob, Xi, Nannan, Zarnekow, Ruediger, and Hamari, Juho (2021), The Use of Augmented Reality in Retail: A Review of Literature, presented at the The 54th Hawaii International Conference on System Sciences.
  13. Hoffman, D. L. and Novak, T. P. (2009), Flow Online: Lessons Learned and Future Prospects, Journal of Interactive Marketing, 23(1), 23–34, doi: 10.1016/j.intmar.2008.10.003.
  14. Massetti, B. (1996), An Empirical Examination of the Value of Creativity Support Systems on Idea Generation, MIS Quarterly, 20(1), 83, doi: 10.2307/249543.
  15. Pavlou, P. A. (2003), Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model, International Journal of Electronic Commerce, 7(3), 101–134, doi: 10.1080/10864415.2003.11044275.
  16. Javornik, A. (2016), Augmented reality: Research agenda for studying the impact of its media characteristics on consumer behaviour, Journal of Retailing and Consumer Services, 30, 252–261, doi: 10.1016/j.jretconser.2016.02.004.
  17. Davis, F. D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319, doi: 10.2307/249008.
  18. Legris, P., Ingham, J., and Collerette, P. (2003), Why do people use information technology? A critical review of the technology acceptance model, Information & Management, 40(3), 191–204, doi: 10.1016/S0378-7206(01)00143-4.
  19. Venkatesh, Thong, and Xu (2012), Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, MIS Quarterly, 36(1), 157, doi: 10.2307/41410412.
  20. Venkatesh, V. and Bala, H. (2008), Technology Acceptance Model 3 and a Research Agenda on Interventions, Decision Sciences, 39(2), 273–315, doi: 10.1111/j.1540-5915.2008.00192.x.
  21. Ajzen, I. (1991), The theory of planned behavior, Organizational behavior and human decision processes, 50(2), 179–211.
  22. Zhu, B., Kowatthanakul, S., and Satanasavapak, P. (2019), Generation Y consumer online repurchase intention in Bangkok: Based on Stimulus-Organism-Response (SOR) model, IJRDM, 48(1), 53–69, doi: 10.1108/IJRDM-04-2018-0071.
  23. Fu S., Yan Q., and Feng G. C. (2018), Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context, International Journal of Information Management, 40, 88–102, doi: 10.1016/j.ijinfomgt.2018.01.013.
  24. Yim, M. Y.-C., Chu, S.-C., and Sauer, P. L. (2017), Is Augmented Reality Technology an Effective Tool for E-commerce? An Interactivity and Vividness Perspective, Journal of Interactive Marketing, 39(1), 89–103, doi: 10.1016/j.intmar.2017.04.001.
  25. Ariely, D. (2000), Controlling the Information Flow: Effects on Consumers’ Decision Making and Preferences, J Consum Res, 27(2), 233–248, doi: 10.1086/314322.
  26. Van Noort, G., Voorveld, H. A. M., and Van Reijmersdal, E. A. (2012), Interactivity in Brand Web Sites: Cognitive, Affective, and Behavioral Responses Explained by Consumers’ Online Flow Experience, Journal of Interactive Marketing, 26(4), 223–234, doi: 10.1016/j.intmar.2011.11.002.
  27. Pantano, E., Rese, A., and Baier, D. (2017), Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets, Journal of Retailing and Consumer Services, 38, 81–95, doi: 10.1016/j.jretconser.2017.05.011.
  28. AbuShanab, E. and Pearson, J. M. (2007), Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective, Journal of Systems and Information Technology, 9(1), 78–97, doi: 10.1108/13287260710817700.
  29. Easterbrook J. A. (1959), The effect of emotion on cue utilization and the organization of behavior., Psychological Review, 66(3), 183–201, doi: 10.1037/h0047707.
  30. Rose, S., Clark, M., Samouel, P., and Hair, N. (2012), Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes, Journal of Retailing, 88(2), 308–322, doi: 10.1016/j.jretai.2012.03.001.
  31. Muñoz-Leiva, F., Climent-Climent, S., and Liébana-Cabanillas, F. (2017), Determinants of intention to use the mobile banking apps: An extension of the classic TAM model, Spanish Journal of Marketing - ESIC, 21(1), 25–38, doi: 10.1016/j.sjme.2016.12.001.
  32. Verhagen, T. and Van Dolen, W. (2011), The influence of online store beliefs on consumer online impulse buying: A model and empirical application, Information & Management, 48(8), 320–327, doi: 10.1016/j.im.2011.08.001.
  33. Olsson, T., Lagerstam, E., Kärkkäinen, T., and Väänänen-Vainio-Mattila, K. (2013), Expected user experience of mobile augmented reality services: a user study in the context of shopping centres, Pers Ubiquit Comput, 17(2), 287–304, doi: 10.1007/s00779-011-0494-x.
  34. Hsin-Hun Liou, Stephen J. H. Yang, Sherry Y. Chen, and Wernhuar Tarng (2017), The Influences of the 2D Image-Based Augmented Reality and Virtual Reality on Student Learning, Journal of Educational Technology & Society, 20(3), 110–121.
  35. Hair, J. F., Risher, J. J., Sarstedt, M., and Ringle, C. M. (2019), When to use and how to report the results of PLS-SEM, EBR, 31(1), 2–24, doi: 10.1108/EBR-11-2018-0203.
  36. Kock, N. (2015), Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach, International Journal of e-Collaboration, 11(4), 1–10, doi: 10.4018/ijec.2015100101.
  37. Davis, F. D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319, doi: 10.2307/249008.
  38. David, A., Buchanan, A., Reed, A., and Almeida, O. (1992), The Assessment of Insight in Psychosis, Br J Psychiatry, 161(5), 599–602, doi: 10.1192/bjp.161.5.599.
  39. Zeithaml, V. A., Berry, L. L., and Parasuraman, A. (1996), The Behavioral Consequences of Service Quality, Journal of Marketing, 60(2), 31–46, doi: 10.1177/002224299606000203.
  40. Burton, S., Garretson, J. A., and Velliquette, A. M. (1999), Implications of Accurate Usage of Nutrition Facts Panel Information for Food Product Evaluations and Purchase Intentions, Journal of the Academy of Marketing Science, 27(4), 470–480, doi: 10.1177/0092070399274006.
  41. Franke, G. and Sarstedt, M. (2019), Heuristics versus statistics in discriminant validity testing: a comparison of four procedures, INTR, 29(3), 430–447, doi: 10.1108/IntR-12-2017-0515.
  42. Henseler, J., Ringle, C. M., and Sarstedt, M. (2015), A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. of the Acad. Mark. Sci., 43(1), 115–135, doi: 10.1007/s11747-014-0403-8.
  43. Streukens, S. and Leroi-Werelds, S. (2016), Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results, European Management Journal, 34(6), 618–632, doi: 10.1016/j.emj.2016.06.003.
  44. Cheng, C. F. and Lee, A. H. (2011), The influences of relationship marketing strategy and transaction cost on customer satisfaction, perceived risk, and customer loyalty, African Journal of Business Management, 5(13), doi: https://doi.org/ 10.5897/AJBM10.1432.
  45. Chung, N., Han, H., and Joun, Y. (2015), Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site, Computers in Human Behavior, 50, 588–599, doi: 10.1016/j.chb.2015.02.068.
  46. Kogan, L., Hellyer, P., Duncan, C., and Schoenfeld-Tacher, R. (2017), A pilot investigation of the physical and psychological benefits of playing Pokémon GO for dog owners, Computers in Human Behavior, 76, 431–437, doi: 10.1016/j.chb.2017.07.043.
  47. Fortin, D. R. and Dholakia, R. R. (2005), Interactivity and vividness effects on social presence and involvement with a web-based advertisement, Journal of Business Research, 58(3), 387–396, doi: 10.1016/S0148-2963(03)00106-1.
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