Inhibitors of online augmented reality shopping adoption for high-involvement products

Authors

DOI:

https://doi.org/10.36096/ijbes.v7i4.879

Keywords:

Augmented reality, Online shopping, Adoption, Inhibiting factors, South Africa

Abstract

The retail industry has seen a significant transformation since augmented reality (AR) technology was introduced into online shopping. However, several barriers continue to hinder the global adoption of online AR shopping, particularly for high-involvement products. This study investigates these barriers in the South African context, adopting a quantitative research approach. Data were collected through online self-administered questionnaires from a sample of 664 South African consumers. Multiple regression analysis was conducted to achieve the research objectives. The findings revealed that image barrier strongly inhibits AR adoption. Although insecurity and tradition barrier were not statistically significant, their negative effect suggests they may act as barriers to adoption. Surprisingly, discomfort and risk barrier yielded positive but non-significant results, leading to the rejection of these hypotheses.

This research provides insights that are vital for retailers, technology developers, and policymakers striving to leverage AR technology effectively in online retail. The study offers practical strategies to address these barriers and facilitate wider adoption of AR technology. Additionally, it contributes to the broader discourse on the intersection of technology adoption, consumer behavior, and retail marketing strategies, particularly within the socio-economic and cultural complexities of South Africa.

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References

Ajina, A. S., Islam, D. M. Z., Zamil, A. M., & Khan, K. (2024). Understanding green IT adoption: TAM and dual-lens of innovation resistance. Cogent Business & Management, 11(1), 2403646. https://doi.org/10.1080/23311975.2024.2403646 DOI: https://doi.org/10.1080/23311975.2024.2403646

Akhtar, N., Sun, J., Akhtar, M. N., & Chen, J. (2019). How attitude ambivalence from conflicting online hotel reviews affects consumers’ behavioural responses: The moderating role of dialecticism. Journal of Hospitality and Tourism Management, 41, 28–40. https://doi.org/10.1016/j.jhtm.2019.09.003 DOI: https://doi.org/10.1016/j.jhtm.2019.09.003

Albishri, B., & Blackmore, K. L. (2025). Duality in barriers and enablers of augmented reality adoption in education: A systematic review of reviews. Interactive Technology and Smart Education, 22(2), 167–191. https://doi.org/10.1108/ITSE-10-2023-0194 DOI: https://doi.org/10.1108/ITSE-10-2023-0194

Alimamy, S., Deans, K., & Gnoth, J. (2018). An empirical investigation of augmented reality to reduce customer perceived risk. In Academy of Marketing Science World Marketing Congress (pp. 127–135). Springer. DOI: https://doi.org/10.1007/978-3-319-68750-6_42

Alimamy, S., Gnoth, J., & Deans, K. R. (2021). The impact of co-creating through AR in retail stores on purchase intentions: The mediating role of customer trust and risk. International Journal of Technology and Human Interaction, 17(3), 16–33. https://doi.org/10.4018/ijthi.2021070102 DOI: https://doi.org/10.4018/IJTHI.2021070102

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 DOI: https://doi.org/10.1016/j.jretconser.2019.101938

Borraz-Mora, J., Bordonaba-Juste, V., & Polo-Redondo, Y. (2017). Functional barriers to the adoption of electronic banking: The moderating effect of gender. Revista de Economía Aplicada, 25(75), 87–107. https://www.redalyc.org/articulo.oa?id=96954075004

Calvo-Porral, C., Orosa-González, J., & Viejo-Fernández, N. (2024). Barriers to online second-hand purchase behavior. Marketing Intelligence & Planning, 42(2), 213–233. https://doi.org/10.1108/MIP-03-2023-0093 DOI: https://doi.org/10.1108/MIP-03-2023-0093

Chen, J. V., Ruangsri, S., Ha, Q. A., & Widjaja, A. E. (2022). An experimental study of consumers’ impulse buying behaviour in augmented reality mobile shopping apps. Behaviour & Information Technology, 41(15), 3360–3381. https://doi.org/10.1080/0144929X.2021.1987523 DOI: https://doi.org/10.1080/0144929X.2021.1987523

Chen, K. H., Chang, F. H., Chen, Y. L., & Chen, P. M. (2019). The relationships between corporate credibility, service convenience, and consumers’ use intentions: Toward ticketing apps for low-cost carriers. Sustainability, 11(3), 810. https://doi.org/10.3390/su11030810 DOI: https://doi.org/10.3390/su11030810

Chikarkova, T. (2018). Adoption of augmented and virtual reality in retail: Individual intentions [Master’s thesis, Lappeenranta University of Technology]. LUTPub. https://urn.fi/URN:NBN:fi-fe2018111948416

Dai, H., & Chen, Y. (2015). Effects of exchange benefits, security concerns and situational privacy concerns on mobile commerce adoption. Journal of International Technology and Information Management, 24(3), 3. https://scholarworks.lib.csusb.edu/jitim/vol24/iss3/3 DOI: https://doi.org/10.58729/1941-6679.1046

De Amorim, I. P., Guerreiro, J., Eloy, S., & Loureiro, S. M. C. (2022). How augmented reality media richness influences consumer behaviour. International Journal of Consumer Studies, 46(6), 2351–2366. https://doi.org/10.1111/ijcs.12790 DOI: https://doi.org/10.1111/ijcs.12790

Dehghani, M., Acikgoz, F., Mashatan, A., & Lee, S. H. (2022). A holistic analysis towards understanding consumer perceptions of virtual reality devices in the post-adoption phase. Behaviour & Information Technology, 41(7), 1453–1471. https://doi.org/10.1080/0144929X.2021.1876767 DOI: https://doi.org/10.1080/0144929X.2021.1876767

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 DOI: https://doi.org/10.1108/MD-02-2022-0136

Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, 29(3), 430–447. https://doi.org/10.1108/IntR-12-2017-0515 DOI: https://doi.org/10.1108/IntR-12-2017-0515

Francis, J. (2023, June 21). Augmented reality: The next big thing in retail? Vodacom Now! https://now.vodacom.co.za/article/augmented-reality-the-next-big-thing-in-retail

Gupta, A., & Arora, N. (2017). Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. Journal of Retailing and Consumer Services, 36, 1–7. https://doi.org/10.1016/j.jretconser.2016.12.012 DOI: https://doi.org/10.1016/j.jretconser.2016.12.012

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective. Pearson.

Hair, J. F., Black, W. C., Babin, B., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage. DOI: https://doi.org/10.1007/978-3-030-80519-7

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202 DOI: https://doi.org/10.2753/MTP1069-6679190202

Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424 DOI: https://doi.org/10.1037//1082-989X.3.4.424

Iyer, E. K., Unnikrishnan, S., Philip, P., & Sundararajan, M. (2015). Extending technology adoption model by addition of cognitive inhibitors. Proceedings of International Conference on Business Management & Information Systems, 89–95.

Jansukpum, K., & Kettem, S. (2015, August). Applying innovation resistance theory to understand consumer resistance of using online travel in Thailand. 2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), 139–142. https://doi.org/10.1109/DCABES.2015.42 DOI: https://doi.org/10.1109/DCABES.2015.42

Jayaswal, P., & Parida, B. (2023). The role of augmented reality in redefining e-tailing: A review and research agenda. Journal of Business Research, 160, 113765. https://doi.org/10.1016/j.jbusres.2023.113765 DOI: https://doi.org/10.1016/j.jbusres.2023.113765

Joachim, V., Spieth, P., & Heidenreich, S. (2018). Active innovation resistance: An empirical study on functional and psychological barriers to innovation adoption in different contexts. Industrial Marketing Management, 71, 95–107. https://doi.org/10.1016/j.indmarman.2017.12.011 DOI: https://doi.org/10.1016/j.indmarman.2017.12.011

Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of m-payment services: Understanding the impact of privacy risk on m-payment services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035 DOI: https://doi.org/10.1016/j.chb.2017.10.035

Kalantari, M., & Rauschnabel, P. (2018). Exploring the early adopters of augmented reality smart glasses: The case of Microsoft HoloLens. In Augmented Reality and Virtual Reality (pp. 209–221). Springer. https://doi.org/10.1007/978-3-319-64027-3_16 DOI: https://doi.org/10.1007/978-3-319-64027-3_16

Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020). An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55, 102059. https://doi.org/10.1016/j.jretconser.2020.102059 DOI: https://doi.org/10.1016/j.jretconser.2020.102059

Khanra, S., Dhir, A., Kaur, P., & Joseph, R. P. (2021). Factors influencing the adoption postponement of mobile payment services in the hospitality sector during a pandemic. Journal of Hospitality and Tourism Management, 46, 26–39. https://doi.org/10.1016/j.jhtm.2020.11.004 DOI: https://doi.org/10.1016/j.jhtm.2020.11.004

Krasonikolakis, I., & Chen, C. H. S. (2023). Unlocking the shopping myth: Can smartphone dependency relieve shopping anxiety? A mixed-methods approach in UK Omnichannel retail. Information & Management, 60(5), 103818. https://doi.org/10.1016/j.im.2023.103818 DOI: https://doi.org/10.1016/j.im.2023.103818

Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432–2439. https://doi.org/10.1016/j.jbusres.2016.01.013 DOI: https://doi.org/10.1016/j.jbusres.2016.01.013

Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing, 24(7), 419–427. https://doi.org/10.1108/07363760710834834 DOI: https://doi.org/10.1108/07363760710834834

Lian, J. W., & Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. https://doi.org/10.1016/j.chb.2014.04.028 DOI: https://doi.org/10.1016/j.chb.2014.04.028

Lyu, T., Huang, K., & Chen, H. (2024). Exploring the impact of technology readiness and innovation resistance on user adoption of autonomous delivery vehicles. International Journal of Human–Computer Interaction, 1–21. https://doi.org/10.1080/10447318.2024.2400387 DOI: https://doi.org/10.1080/10447318.2024.2400387

Malhotra, N. K. (2010). Marketing research: An applied orientation (6th ed.). Pearson Education.

Marques, M. M., & Pombo, L. (2021). Teachers’ experiences and perceptions regarding mobile augmented reality games: A case study of a teacher training. INTED2021 Proceedings, 1, 8938–8947. https://doi.org/10.21125/inted.2021.1837 DOI: https://doi.org/10.21125/inted.2021.1865

Massa, E., & Ladhari, R. (2023). Augmented reality in marketing: Conceptualization and systematic review. International Journal of Consumer Studies, 47(6), 2335–2366. https://doi.org/10.1111/ijcs.12930 DOI: https://doi.org/10.1111/ijcs.12930

Mishra, S., Malhotra, G., & Tiwari, S. R. (2021). Moderating effect of cognitive conflict on the relationship between value consciousness and online shopping cart abandonment. The International Review of Retail, Distribution and Consumer Research, 31(5), 511–530. https://doi.org/10.1080/09593969.2021.2002386 DOI: https://doi.org/10.1080/09593969.2021.2002386

Moorthy, K., Ling, C. S., Fatt, Y. W., Yee, C. M., Yin, E. C. K., Yee, K. S., & Wei, L. K. (2017). Barriers of mobile commerce adoption intention: Perceptions of Generation X in Malaysia. Journal of Theoretical and Applied Electronic Commerce Research, 12(2), 37–53. https://doi.org/10.4067/S0718-18762017000200004 DOI: https://doi.org/10.4067/S0718-18762017000200004

Mupfunya, F., Roodt, S., & Mwapwele, S. (2018, July 9–10). Readiness analysis of teachers in townships for the use of Augmented Reality in education [Conference presentation]. 4th African Conference on Information Systems & Technology (ACIST), Cape Town, South Africa.

Narang, S., & Jain, M. K. (2024). Acceptance of innovative cashless payment technologies: A qualitative exploration. Hans Shodh Sudha. https://www.hansshodhsudha.com/volume5-issue1/3.pdf

Nedbank. (2024). South African online retail: Marketplace game-changer? https://personal.nedbank.co.za/learn/blog/south-african-online-retail-outlook.html

Ntsafack, F. W., Kamdjoug, J. R. K., & Wamba, S. F. (2018). Exploring factors affecting mobile services adoption by young consumers in Cameroon. In Trends and Advances in Information Systems and Technologies (pp. 46–57). Springer International Publishing. https://doi.org/10.1007/978-3-319-77712-2_5 DOI: https://doi.org/10.1007/978-3-319-77712-2_5

Oktavianus, J., Oviedo, H., Gonzalez, W., Putri, A. P., & Lin, T. T. (2017). Why do Taiwanese young adults not jump on the bandwagon of Pokémon Go? Exploring barriers of innovation resistance. 14th International Telecommunications Society (ITS) Asia-Pacific Regional Conference, Kyoto, Japan. https://hdl.handle.net/10419/168529

Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001 DOI: https://doi.org/10.1177/109467050024001

Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730 DOI: https://doi.org/10.1177/1094670514539730

Payflex. (2022). Most-bought online items in South Africa: Are you stocking them? https://payflex.co.za/merchant-hub/ecommerce-tips/most-bought-online-items-in-south-africa-are-you-stocking-them/

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 DOI: https://doi.org/10.1016/j.jretconser.2017.12.010

Rahman, M. A., Islam, M. A., Esha, B. H., Sultana, N., & Chakravorty, S. (2018). Consumer buying behavior towards online shopping: An empirical study on Dhaka City, Bangladesh. Cogent Business & Management, 5(1), 1514940. https://doi.org/10.1080/23311975.2018.1514940 DOI: https://doi.org/10.1080/23311975.2018.1514940

Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5–14. https://doi.org/10.1108/EUM0000000002542 DOI: https://doi.org/10.1108/EUM0000000002542

Rammile, N., & Nel, J. (2012). Understanding resistance to cell phone banking adoption through the application of the technology acceptance model (TAM). African Journal of Business Management, 6(1), 86–96. https://doi.org/10.5897/AJBM11.635 DOI: https://doi.org/10.5897/AJBM11.635

Rauschnabel, P. A., He, J., & Ro, Y. K. (2018). Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks. Journal of Business Research, 92, 374–384. https://doi.org/10.1016/j.jbusres.2018.08.008 DOI: https://doi.org/10.1016/j.jbusres.2018.08.008

Rauschnabel, P. A., Rossmann, A., & Tom Dieck, M. C. (2017). An adoption framework for mobile augmented reality games: The case of Pokémon Go. Computers in Human Behavior, 76, 276–286. https://doi.org/10.1016/j.chb.2017.07.030 DOI: https://doi.org/10.1016/j.chb.2017.07.030

Riar, M., Korbel, J. J., Xi, N., Zarnekow, R., & Hamari, J. (2021). The use of augmented reality in retail: A review of literature. Proceedings of the 54th Hawaii International Conference on System Sciences. http://hdl.handle.net/10125/70689 DOI: https://doi.org/10.24251/HICSS.2021.078

Romano, B., Sands, S., & Pallant, J. I. (2022). Virtual shopping: Segmenting consumer attitudes towards augmented reality as a shopping tool. International Journal of Retail & Distribution Management, 50(10), 1221–1237. https://doi.org/10.1108/IJRDM-10-2021-0493 DOI: https://doi.org/10.1108/IJRDM-10-2021-0493

Roy, S. K., Balaji, M. S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147–160. https://doi.org/10.1016/j.jretconser.2018.02.005 DOI: https://doi.org/10.1016/j.jretconser.2018.02.005

Santulli, M. (2019). The influence of augmented reality on consumers’ online purchase intention: The Sephora Virtual Artist case [Master’s dissertation, Universidade Católica Portuguesa]. UCP Repositório. http://hdl.handle.net/10400.14/26957

Saracchini, R., Catalina-Ortega, C., & Bordoni, L. (2015). A mobile augmented reality assistive technology for the elderly. Comunicar, 23(45), 65–74. https://doi.org/10.3916/C45-2015-07 DOI: https://doi.org/10.3916/C45-2015-07

Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling (3rd ed.). Routledge.

Sihi, D. (2018). Home sweet virtual home: The use of virtual and augmented reality technologies in high involvement purchase decisions. Journal of Research in Interactive Marketing, 12(4), 398–417. https://doi.org/10.1108/JRIM-01-2018-0019 DOI: https://doi.org/10.1108/JRIM-01-2018-0019

SME South Africa. (2017, September 12). How virtual reality is about to change how you market your products. https://smesouthafrica.co.za/17095/All-the-reasons-you-need-to-finally-get-on-the-Virtual-Reality-band-wagon/

Smink, A. R., Van Reijmersdal, E. A., Van Noort, G., & Neijens, P. C. (2020). Shopping in augmented reality: The effects of spatial presence, personalization and intrusiveness on app and brand responses. Journal of Business Research, 118, 474–485. https://doi.org/10.1016/j.jbusres.2020.07.018 DOI: https://doi.org/10.1016/j.jbusres.2020.07.018

Uhlendorf, K., & Uhrich, S. (2021). E-sport, innovation and technology. In Book of abstracts: 29th European Sport Management Virtual Conference EASM 2021 (p. 68).

Van Esch, P., Arli, D., Gheshlaghi, M. H., Andonopoulos, V., Von der Heidt, T., & Northey, G. (2019). Anthropomorphism and augmented reality in the retail environment. Journal of Retailing and Consumer Services, 49, 35–42. https://doi.org/10.1016/j.jretconser.2019.03.002 DOI: https://doi.org/10.1016/j.jretconser.2019.03.002

Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206–215. https://doi.org/10.1016/j.im.2006.12.005 DOI: https://doi.org/10.1016/j.im.2006.12.005

Woolworths Holdings Limited. (2021, October 28). Woolworths launches augmented reality beauty experiences — first of its kind for a SA retailer. https://www.woolworthsholdings.co.za/woolworths-launches-augmented-reality-beauty-experiences-first-of-its-kind-for-a-sa-retailer/

Yadav, R., Sharma, S. K., & Tarhini, A. (2016). A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of Enterprise Information Management, 29(2), 222–237. https://doi.org/10.1108/JEIM-04-2015-0034 DOI: https://doi.org/10.1108/JEIM-04-2015-0034

Zhuang, J., Liu, Y., Jia, Y., & Huang, Y. (2019). User discomfort evaluation research on the weight and wearing mode of head-wearable device. In Advances in Human Factors in Wearable Technologies and Game Design (pp. 98–110). Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-94619-1_10

Zikmund, W. G., & Babin, B. J. (2013). Essentials of marketing research (5th ed.). South-Western Cengage Learning.

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Published

2025-08-13

How to Cite

Ngobeni, K. M. (2025). Inhibitors of online augmented reality shopping adoption for high-involvement products. International Journal of Business Ecosystem & Strategy (2687-2293), 7(4), 31–41. https://doi.org/10.36096/ijbes.v7i4.879

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Business Ecosystem