Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model
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DOI: 10.1016/j.techsoc.2020.101429
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- Salvador Angosto & Jerónimo García-Fernández & Moisés Grimaldi-Puyana, 2023. "A systematic review of intention to use fitness apps (2020–2023)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
- Perez-Aranda, Javier & González Robles, Eva M. & Alarcón Urbistondo, Pilar, 2023. "Understanding antecedents of continuance and revisit intentions: The case of sport apps," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
- Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
- Souha Al-Geitany & Hasan Yousef Aljuhmani & Okechukwu Lawrence Emeagwali & Elsie Nasr, 2023. "Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
- Poonyawat Kusonwattana & Yogi Tri Prasetyo & Stefanus Vincent & Jefferson Christofelix & Aryadaksa Amudra & Hazel Juan Montgomery & Michael Nayat Young & Reny Nadlifatin & Satria Fadil Persada, 2022. "Determining Factors Affecting Behavioral Intention to Organize an Online Event during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
- Ryan, Mark, 2022. "The ethics of dietary apps: Technology, health, and the capability approach," Technology in Society, Elsevier, vol. 68(C).
- Jianfei Cao & Karin Kurata & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
- Esmonde, Katelyn & Roth, Stephen & Walker, Alexis, 2023. "A social and ethical framework for providing health information obtained from combining genetics and fitness tracking data," Technology in Society, Elsevier, vol. 74(C).
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Keywords
Technology acceptance model; Investment model; Health and fitness apps; Decision-making process; User perception;All these keywords.
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