INFLUENCING FACTORS AND ROLE MECHANISMS OF OLDER CONSUMERS' VIRTUAL REALITY SHOPPING ACCEPTANCE INTENTION - AN EXTENDED STUDY BASED ON UTAUT THEORY

Authors

  • HU MINGYUE Jiange County Market Supervision Administration, Guangyuan City, Sichuan Province, 62800, China.

Keywords:

Older consumers; Virtual reality shopping; UTAUT model; Technology acceptance; Perceived risk; Digital divide

Abstract

Abstract: With the deep intertwining of population aging and digitalization, virtual reality (VR) shopping is reshaping the consumption scene as an emerging retail mode. However, as a marginalized population in the digital era, the willingness to accept VR shopping and the influence mechanism of the elderly have not yet received sufficient attention. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, this study constructs an extended theoretical model of acceptance of VR shopping among elderly consumers by integrating elderly-specific variables such as perceived risk, trust, and technology anxiety. Through an empirical study of 389 elderly consumers aged 60 and above, structural equation modeling (SEM) analysis reveals that: performance expectation, effort expectation and social influence have a significant positive impact on the behavioral intention of elderly consumers, whereas trust plays a key mediating role in the process of technology acceptance, and perceived risk inhibits the intention to use significantly. The study reveals that older consumers' acceptance of VR shopping is not only driven by technical attributes, but also depends on the establishment of psychological security and social support networks. This finding provides a theoretical basis and a practical path for retailers to develop age-friendly VR shopping platforms and for governments to formulate digital inclusion policies, which is of great significance for bridging the silver-haired digital divide and promoting active aging.

References

Erensoy M, Bakopoulos V. 2024. Consumer behavior in immersive virtual reality retail environments: a systematic literature review using the stimuli- organisms-responses (S-O-R) model[J]. Journal of Consumer Behaviour, 23(4): 1891-1918.

Kenesei Z, Kökény L, Ásványi K, et al. 2025. The central role of trust and perceived risk in the acceptance of autonomous vehicles in an integrated UTAUT model[J]. European Transport Research Review, 17(1): 8.

Li H, Kostka G. 2024. Navigating the digital age: The gray digital divide and digital inclusion in China[J]. Media, Culture & Society, 46(6): 1181-1199.

Li Y M, Liu C, Sun J Q, et al. 2024. The digital divide and cognitive disparities among older adults: Community-based cohort study in China[J]. Journal of Medical Internet Research, 26: e59684.

Mishra S, Mishra A, Dubey A, et al. 2024. Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioral intention of consumers[J]. International Journal of Information Management Data Insights, 4(1): 100220.

Straits Research. 2024. Virtual Reality in Retail Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2024-2032[R]. New York: Straits Research.

Venkatesh V, Morris M G, Davis G B, et al. 2003. User acceptance of information technology: Toward a unified view [J]. MIS Quarterly, 27(3): 425-478.

Venkatesh V, Thong J Y, Xu X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology[J]. Technology[J]. MIS Quarterly, 36(1): 157-178.

Wu C Z, Lim G G. 2024. Investigating older adults users willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory[J]. The Technology Readiness Index theory[J]. Frontiers in Public Health, 12: 1449594.

Yang H J, Lee J H, Lee W J. 2025. Factors influencing health care technology acceptance in older adults based on the technology acceptance model and the unified theory of acceptance and use of technology: Meta-analysis[J]. Journal of Medical Internet Research, 27(1): e652.

Yu Z, Chen Y. 2024. Understanding older adults acceptance of Chatbots in healthcare delivery: an extended UTAUT model[J]. Frontiers in Public Health, 12: 1435329.

Zhang L Q, Wang Y H, Chen X. 2023. Expanding the UTAUT2 framework to determine the drivers of mobile shopping behavior among older adults[J]. PLOS ONE, 18(12): e0295581.

Zhang W, Chen Y, Li M. Exploring the factors influencing the adoption of online medical services by older adults: a modified UTAUT2 based study[J]. Frontiers in Public Health, 12: 1352847.

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Published

2025-12-22