IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i3p21582440231182653.html
   My bibliography  Save this article

Consumer Acceptance of Sports Wearables: The Role of Products Attributes

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231182653
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440231182653?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    2. Yoon, Jeewhan & Vonortas, Nicholas S. & Han, SungWon, 2020. "Do-It-Yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    3. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    4. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    5. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    6. Shirazi, Farid & Hajli, Nick & Sims, Julian & Lemke, Fred, 2022. "The role of social factors in purchase journey in the social commerce era," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Kerstin Pezoldt & Jana Schliewe, 2012. "Akzeptanz von Self-Service-Technologien: State of the Art," Schmalenbach Journal of Business Research, Springer, vol. 64(2), pages 205-253, March.
    8. McLean, Graeme & Osei-Frimpong, Kofi, 2019. "Chat now… Examining the variables influencing the use of online live chat," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 55-67.
    9. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    10. Hasan Sadık Tatlı & Tuba Bıyıkbeyi & Gülşah Gençer Çelik & Gökten Öngel, 2024. "Paperless Technologies in Universities: Examination in Terms of Unified Theory of Acceptance and Use of Technology (UTAUT)," Sustainability, MDPI, vol. 16(7), pages 1-20, March.
    11. Mihaela Moca & Alina Badulescu, 2023. "Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    12. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    13. Nguyen Thi Tuyet Mai & Takahashi Yoshi & Nham Phong Tuan, 2013. "Technology acceptance model and the paths to online customer loyalty in an emerging market," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(2), pages 231-248.
    14. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    15. Yujing Zhang & Yilin Luo & Xinjing Zhang & Jing Zhao, 2019. "How Green Human Resource Management Can Promote Green Employee Behavior in China: A Technology Acceptance Model Perspective," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    16. Rese, Alexandra & Baier, Daniel & Geyer-Schulz, Andreas & Schreiber, Stefanie, 2017. "How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 306-319.
    17. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    18. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    19. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    20. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231182653. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.