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Consumer Acceptance of Sports Wearables: The Role of Products Attributes

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  • Zhigang Wang
  • Dan Fang
  • Xintao Liu
  • Lei Zhang
  • Hongyan Duan
  • Chao Wang
  • Kai Guo

Abstract

Based on the technology acceptance model (TAM), this paper discusses how the functional attributes and design characteristics of sports wearable devices affect users’ attitude and behavior. In order to estimate the relationship between variables, structural equation model (SEM) was used to analyze the data from questionnaire. By analyzing the relationship among data analysis, real-time monitoring, appearance design, simple operation, perceived usefulness, perceived ease of use, use attitude, and use behavior, it is found that data analysis and real-time monitoring has a significant impact on the perceived usefulness of sports wearable devices. The simple operation and appearance design have a significant impact on the perceived ease of use of sports wearable devices. The perceived usefulness and perceived ease of use of sports wearable devices further affect users’ attitude and behavior. The result means all study hypotheses were accepted. Therefore, providing perfect data analysis function, developing accurate real-time monitoring function, introducing friendly appearance design, and simplifying product operation mode can improve the use value and operation convenience of sports wearable devices and enhance the acceptance of users.

Suggested Citation

  • Zhigang Wang & Dan Fang & Xintao Liu & Lei Zhang & Hongyan Duan & Chao Wang & Kai Guo, 2023. "Consumer Acceptance of Sports Wearables: The Role of Products Attributes," SAGE Open, , vol. 13(3), pages 21582440231, July.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231182653
    DOI: 10.1177/21582440231182653
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    1. Anil Gupta & Neeraj Dhiman & Anish Yousaf & Neelika Arora, 2021. "Social comparison and continuance intention of smart fitness wearables: an extended expectation confirmation theory perspective," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(13), pages 1341-1354, October.
    2. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    3. Cruz-Cárdenas, Jorge & Guadalupe-Lanas, Jorge & Ramos-Galarza, Carlos & Palacio-Fierro, Andrés, 2021. "Drivers of technology readiness and motivations for consumption in explaining the tendency of consumers to use technology-based services," Journal of Business Research, Elsevier, vol. 122(C), pages 217-225.
    4. Jie Lyu & Jing Zhang, 2021. "An Empirical Study into Consumer Acceptance of Dockless Bikes Sharing System Based on TAM," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    5. Huan-Ming Chuang & Chien-I Chen, 2022. "Sustaining the Well-Being of Wearable Technology Users: Leveraging SEM-Based IPMA and VIKOR Analyses to Gain Deeper Insights," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    8. Afrin Rifat & Nabila Nisha & Mehree Iqbal, 2019. "Predicting e-Tax Service Adoption: Integrating Perceived Risk, Service Quality and TAM," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 17(3), pages 71-100, July.
    9. Alexander W. Ernst & Claus-Peter H. Ernst, 2016. "Success Comes to Those Who Are Successful: The Influence of Past Product Expectation Confirmation on Smartwatch Usage," Progress in IS, in: Claus-Peter H. Ernst (ed.), The Drivers of Wearable Device Usage, edition 1, pages 49-58, Springer.
    10. Jeyaraj, Anand, 2022. "Models of information systems habit: An exploratory meta-analysis," International Journal of Information Management, Elsevier, vol. 62(C).
    11. Yi He & Qimei Chen & Sakawrat Kitkuakul, 2018. "Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1459006-145, January.
    12. Na Liu & Zuoliang Ye, 2021. "Empirical research on the blockchain adoption – based on TAM," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4263-4275, August.
    13. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    14. Man Lai Cheung & Ka Yin Chau & Michael Huen Sum Lam & Gary Tse & Ka Yan Ho & Stuart W. Flint & David R Broom & Ejoe Kar Ho Tso & Ka Yiu Lee, 2019. "Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes," IJERPH, MDPI, vol. 16(13), pages 1-16, June.
    15. Mostaghel, Rana & Chirumalla, Koteshwar, 2021. "Role of customers in circular business models," Journal of Business Research, Elsevier, vol. 127(C), pages 35-44.
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    1. Chao Wang & Zhigang Wang, 2023. "Influence of Customer Knowledge Management on Mobile Fitness Application Customer Value Cocreation Through Flow Experience and Customer Involvement," SAGE Open, , vol. 13(4), pages 21582440231, December.

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