Consumer Acceptance of Sports Wearables: The Role of Products Attributes
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DOI: 10.1177/21582440231182653
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- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- Jeyaraj, Anand, 2022. "Models of information systems habit: An exploratory meta-analysis," International Journal of Information Management, Elsevier, vol. 62(C).
- 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.
- 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.
- 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.
- 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.
- 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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- 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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Keywords
technology acceptance model; sports wearables; perceived usefulness; perceived ease of use;All these keywords.
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