Gender in acceptance of augmented reality in e-commerce: An international perspective

Abstract

Objective: The objective of the article is to answer research questions about the role of gender in the significance of factors (motives and risks) affecting the acceptance of augmented reality (AR) technologies by young international e-commerce consumers.

Research Design & Methods: The primary research method was a qualitative study based on six focus groups conducted in three economically, technologically, and culturally diverse countries: Poland, South Korea, and the United States. For the qualitative analysis, we used MAXQDA software.

Findings: Regarding the role of gender in impacting the motives and risks connected with consumers’ use of AR technology in online shopping decisions, gender differentiates both motivation and risks.

Implications & Recommendations: Regarding theoretical application, the findings show the significant role of gender and cultural factors as moderators in models concerning the acceptance of new technologies on the international market. Regarding the practical implications, it should be emphasised that adapting to the preferences of different demographic groups concerning gender can increase the effectiveness of marketing efforts and improve sales performance.

Contribution & Value Added: The study stands out because it analyses a combination of factors that indicate gender, young international consumers, and the acceptance of AR technology.

Keywords

gender, augmented reality, young consumers, e-commerce, international markets

Author Biography

Małgorzata Bartosik-Purgat

Professor, Head of the Department of International Management, Poznań University of Economics and Business, Poland. Her research interests include new technologies in consumer behaviour, cross-cultural communication, and the cultural environment of international business.

Wiktoria Rakowska

PhD Candidate in the Department of International Management at Poznań University of Economics and Business, Poland. Her research delves into understanding how consumers behave within the sharing economy and explores the variations in consumer behaviour influenced by cultural differences.

References

1. Abed, S.S. (2021). Examining augmented reality adoption by consumers with highlights on gender and educational-level differences. Review of International Business and Strategy, 31(3), 397-415. https://doi.org/10.1108/RIBS-08-2020-0100
2. Alesanco-Llorente, M., Reinares-Lara, E., Pelegrín-Borondo, J., & Olarte-Pascual, C. (2023). Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality. Technological Forecasting & Social Change, 191, 122514. https://doi.org/10.1016/j.techfore.2023.122514
3. Al Halbusi, H., Al-Sulaiti, K., Abdelfattah, F., Ahmad, A.B., & Hassan, S. (2024). Understanding consumers’ adoption of e-pharmacy in Qatar: applying the unified theory of acceptance and use of technology. Journal of Science and Technology Policy Management, Vol./No. ahead-of-print. https://doi.org/10.1108/JSTPM-03-2023-0042
4. Andrzejewski, M., & Dunal, P. (2021). Artificial intelligence in the curricula of postgraduate studies in financial management: Survey results. International Entrepreneurship Review, 7(4), 89-93. https://doi.org/10.15678/IER.2021.0704.07
5. Arghashi, V. (2022). Shopping with augmented reality: how wow-effect changes the equations!. Electronic Commerce Research and Applications, 54, 101166 https://doi.org/10.1016/j.elerap.2022.101166
6. Bartosik-Purgat, M., Jankowska, B., & Mińska-Struzik, E. (2022). Does Generation Matter for the Use of I4.0 Technologies? In M. Latukha (Ed.), Diversity in action: managing diverse talent in a global economy (pp. 97-120), Emerald Publ. https://doi.org/10.1108/978-1-80117-226-420221007
7. Bonnin, G. (2020). The roles of perceived risk, attractiveness of the online store and familiarity with AR in the influence of AR on patronage intention. Journal of Retailing and Consumer Services, 52, 101938. https://doi.org/10.1016/j.jretconser.2019.101938
8. Borges, A.P., Vieira, E., Rodrigues, P., & Sousa, A. (2023). Influence of COVID-19 on online shopping behaviour, leisure and socialization. Management Research, 21(2), 122-144. https://doi.org/10.1108/MRJIAM-09-2021-1229
9. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
10. Chen, H., Li, H., & Pirkkalainen, H. (2024). How extended reality influences e-commerce consumers: A literature review. Electronic Commerce Research and Applications, 65, 101404. https://doi.org/10.1016/j.elerap.2024.101404
11. Çalışkan, G., Yayla, İ., & Pamukçu, H. (2023). The use of augmented reality technologies in tourism businesses from the perspective of UTAUT2. European Journal of Innovation Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EJIM-04-2023-0271
12. Davis, F.D. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology.
13. Dacko, S.G. (2017). Enabling smart retail settings via mobile augmented reality shopping apps. Technological Forecasting and Social Change, 124, 243-256. https://doi.org/10.1016/j.techfore.2016.09.032
14. Dogra, P., Kaushik, A.K., Kalia, P., & Kaushal, A. (2023). Influence of augmented reality on shopping behavior. Management Decision, 61(7), 2073-2098. https://doi.org/10.1108/MD-02-2022-0136
15. D'Souza, C. (2022). Game meats: consumption values, theory of planned behavior, and the moderating role of food neophobia/neophiliac behavior. Journal of Retailing and Consumer Services, 66, 102953. https://doi.org/10.1016/j.jretconser.2022.102953
16. Ebrahimabad, F.Z., Yazdani, H., Hakim, A., & Asarian, M. (2024). Augmented Reality Versus Web-Based Shopping: How Does AR Improve User Experience and Online Purchase Intention. Telematics and Informatics Reports, 15, 100152. https://doi.org/10.1016/j.teler.2024.100152
17. Fishbein, M. (1967). A behavior theory approach to the relations between beliefs about an object and the attitude toward the object. In M. Fishbein (Ed.), Readings in attitude theory and measurement (pp. 389-400). New York: John Wiley & Sons.
18. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
19. Gao, Y., Li, H., & Luo, Y. (2015). An empirical study of wearable technology acceptance in healthcare. Industrial Management & Data Systems, 115(9), 1704-1723. https://doi.org/10.1108/IMDS-03-2015-0087
20. Hofstede, G., Hofstede, G.J., & Minkov, M. (2010). Cultures and Organizations; Software of the Mind. New York: McGraw-Hill.
21. Huang, Y.C. (2023). Integrated concepts of the UTAUT and TPB in virtual reality behavioral intention. Journal of Retailing and Consumer Services, 70, 103127. https://doi.org/10.1016/j.jretconser.2022.103127
22. Iisnawati, I., Marwa, T., Wahab, Z., & Shihab, M.S. (2022). The Rise of Online Shopping with Augmented Reality, for the New Hope of Indonesian Economics Rebound. Advances in Economics, Business and Management Research, 210, 355-359. https://doi.org/10.2991/aebmr.k.220304.046
23. Javornik, A. (2016). It’s an illusion, but it looks real!’ consumer affective, cognitive and behavioral responses to augmented reality applications. Journal of Marketing Management, 32(9/10), 987-1011. https://doi.org/10.1080/0267257X.2016.1174726
24. Jayaswal, P., & Parida, B. (2023). Past, present and future of augmented reality marketing research: a bibliometric and thematic analysis approach. European Journal of Marketing, 57(9), 2237-2289. https://doi.org/10.1108/EJM-05-2022-0397
25. Jiang, Q., Gu, C., Feng, Y., Wei, W., & Tsai, W.-C. (2023). Study on the continuance intention in using virtual shoe-try-on function in mobile online shopping. Kybernetes, 52(10), 4551-4575. https://doi.org/10.1108/K-12-2021-1346.
26. Korzynski, P., Kozminski, A.K., & Baczynska, A. (2023). Navigating leadership challenges with technology: Uncovering the potential of ChatGPT, virtual reality, human capital management systems, robotic process automation, and social media. International Entrepreneurship Review, 9(2), 7-18. https://doi.org/10.15678/IER.2023.0902.01
27. Kumar, H. (2022). Augmented reality in online retailing: a systematic review and research agenda. International Journal of Retail & Distribution Management, 50(4), 537-559. https://doi.org/10.1108/IJRDM-06-2021-0287
28. Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
29. Mombeuil, C. (2020). An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets. Journal of Retailing and Consumer Services, 55, 102127. https://doi.org/10.1016/j.jretconser.2020.102127
30. Nadeem, W., Alimamy, S., & Ashraf, A.R. (2024). Unraveling the factors that influence connectedness and relationship performance with augmented reality apps. Information Technology & People, Vol./No. ahead-of-print. https://doi.org/10.1108/ITP-06-2023-0596
31. Oyman, M., Bal, D., & Ozer, S. (2022). Extending the technology acceptance model to explain how perceived augmented reality affects consumers’ perceptions. Computers in Human Behavior, 128, 107127. https://doi.org/10.1016/j.chb.2021.107127%20Get%20rights%20and%20content
32. Quinlan, C., Babin, B., Carr, J., Griffin, M., & Zikmund, W. (2019). Business Research Methods (2nd ed.). UK: Cengage Learning.
33. Pathak, K., & Prakash, G. (2023). Exploring the role of augmented reality in purchase intention: Through flow and immersive experience. Technological Forecasting & Social Change, 196, 122833. https://doi.org/10.1016/j.techfore.2023.122833
34. Paulo, M.M., Rita, P., Oliveira, T., & Moro, S. (2018). Understanding mobile augmented reality adoption in a consumer context. Journal of Hospitality and Tourism Technology, 9(2), 142-157. https://doi.org/10.1108/JHTT-01-2017-0006
35. Poushneh, A. (2018). Augmented reality in retail: a trade-off between user’s control of access to personal information and augmentation quality. Journal of Retailing and Consumer Services, 41, 169-176. https://doi.org/10.1016/j.jretconser.2017.12.010
36. Qin, H., David, A., Harun, A., Mamun, M.R.A., Peak, D., & Prybutok, V. (2024). Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps. Industrial Management & Data Systems, 124(1), 442-482. https://doi.org/10.1108/IMDS-02-2023-0097
37. Rauschnabel, P.A. (2021). Augmented reality is eating the real-world! The substitution of physical products by holograms. International Journal of Information Management, 57(4), 102279, https://doi.org/10.1016/j.ijinfomgt.2020.102279
38. Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting & Social Change, 124, 306-319. https://doi.org/10.1016/j.techfore.2016.10.010
39. Riar, M., Xi, N., Korbel, J.J., Zarnekow, R., & Hamari, J. (2023). Using augmented reality for shopping: a framework for AR induced consumer behavior, literature review and future agenda. Internet Research, 33(1), 242-279. https://doi.org/10.1108/INTR-08-2021-0611
40. Rogers, E.M., Singhal, A., & Quinlan, M.M. (2014). Diffusion of innovations. In Stacks, D.W., Salwen, M.B., Eichhorn, K.C. (Eds.) An Integrated Approach to Communication Theory and Research (pp. 432-448). London: Routledge. https://doi.org/10.4324/9780203710753-35
41. Sahli, A., & Lichy, J. (2024). The role of augmented reality in the customer shopping experience. International Journal of Organizational Analysis, Vol./No. ahead-of-print. https://doi.org/10.1108/IJOA-02-2024-4300
42. Slyke, C.V., Bélanger, F., Johnson, R.D., & Hightower, R.T. (2010). Gender-Based Differences in Consumer E-Commerce Adoption. Communications of the Association for Information Systems, 26, 17-34. https://doi.org/ 10.17705/1CAIS.02602
43. Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900, https://doi.org/10.1016/j.jretconser.2021.102900
44. Wang, G., Tan, G.W.H., Yuan, Y., Ooi, K.B., & Dwivedi, Y.K. (2022). Revisiting TAM2 in behavioral targeting advertising: a deep learning-based dual-stage SEM-ANN analysis. Technological Forecasting and Social Change, 175, 121345. https://doi.org/10.1016/j.techfore.2021.121345
45. Wu, X., & Lai, I.K.W. (2021). The acceptance of augmented reality tour app for promoting film-induced tourism: the effect of celebrity involvement and personal innovativeness. Journal of Hospitality and Tourism Technology, 12(3), 454-470. https://doi.org/10.1108/JHTT-03-2020-0054
46. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
47. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
48. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
49. Venkatesh, V., Thong, J.Y.L., & Xin, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
50. Wei, Y., Syahrivar, J., & Widyanto, H.A. (2023). Using facial enhancement technology (FET) in online sales of branded color cosmetics. Journal of Systems and Information Technology, 25(4), 502-530. https://doi.org/10.1108/JSIT-12-2022-0282
51. Xu, X., Jia, Q., & Tayyab, S.M.U. (2024). Exploring the dual routes in influencing sales and adoption in augmented reality retailing: a mixed approach of SEM and FsQCA. Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-06-2023-0438
52. Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269. https://doi.org/10.1016/j.tele.2015.08.007
53. Zhang, D., & Yao, H. (2023). Research on Consumers’ Intention to Use and Promote Augmented Reality. In M.F. Sedon et al. (Eds.). Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA), 752, (pp. 1245-1253). https://doi.org/10.2991/978-2-38476-062-6_160
54. Zheng, S., & Li, D. (2023). The dark side of AR usage on customers’ online purchase. Nankai Business Review International, 14(1), 128-160. https://doi.org/10.1108/NBRI-03-2022-0023