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ORIGINAL RESEARCH article

Front. Public Health

Sec. Aging and Public Health

This article is part of the Research TopicHarnessing smart technology for lifelong proactive health managementView all articles

Exploring the Determinants of Online Purchase Intention for Aging-Friendly Products: Evidence from Senior Consumers in Urban Chinese Context

Provisionally accepted
  • 1Guangzhou College of Technology and Business, Guangzhou, China
  • 2Puning People's Hospital, Puning, China
  • 3Rajapark Institute , Thailand, Bangkok, Thailand

The final, formatted version of the article will be published soon.

This study investigates the factors influencing older adults' intention to purchase aging-friendly products through online shopping platforms, with focus on senior consumers in Guangzhou, China. Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). Structural model was developed to examine the roles of digital literacy, trusting beliefs in online shopping, technology anxiety, economic cost, and subjective norms. Data were collected through self-administered questionnaire completed by 546 older adults aged 60 and above. Structural equation modeling (SEM) was employed to test the hypothesized relationships. This study contributes to the refinement of older adults' specific technology acceptance models by integrating cognitive, emotional, social, and economic dimensions. Practical implications are proposed for policymakers, online retailers, aging-friendly manufacturers, and family members/caregivers aiming to support the digital inclusion and consumer engagement of older populations. Recommendations include targeted digital literacy programs, trustworthy platform features, perceived value marketing strategies, and age-sensitive digital environment policy development.

Keywords: aging-friendly products, Digital Literacy, older adults, online shopping behavior, Technology anxiety, trusting beliefs in online shopping

Received: 15 Oct 2025; Accepted: 08 Dec 2025.

Copyright: © 2025 Yang, Xie, Zhao, Zheng and She. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ruitian Xie

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