IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p15156-d975302.html
   My bibliography  Save this article

Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model

Author

Listed:
  • Jianfei Cao

    (Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan)

  • Karin Kurata

    (Graduate School of Corporate Business, Ritsumeikan University, Ibaraki 567-8570, Japan)

  • Yeongjoo Lim

    (Graduate School of Corporate Business, Ritsumeikan University, Ibaraki 567-8570, Japan)

  • Shintaro Sengoku

    (School of Environment and Society, Tokyo Institute of Technology, Tokyo 152-8550, Japan)

  • Kota Kodama

    (Graduate School of Technology Management, Ritsumeikan University, Ibaraki 567-8570, Japan
    Center for Research and Education on Drug Discovery, The Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan)

Abstract

The unprecedented development of information and communication technologies has opened up immense possibilities in the field of health care. Mobile health (mHealth) is gaining increasing attention as an important technology for solving health-related problems. Although a high rate of smartphone usage among young people in Japan has been identified, smartphone usage for health management is not high. As Japanese youth are important potential users of mHealth, it is necessary to explore theories that influence the behavioral intention of Japanese youth to adopt mHealth. This study conducted a questionnaire survey in a Japanese university and collected 233 valuable responses. This study was adapted and extended from the unified theory of acceptance and use of technology (UTAUT) model to measure eight constructs: health consciousness, social influence, facilitation conditions, perceived risk, trust, performance expectancy, effort expectancy, and behavioral intention. Structural equation modeling was used for hypothesis testing. We found that trust, performance expectancy, and effort expectancy directly influenced the behavioral intention to use mHealth. Health consciousness and social influence indirectly influence behavioral intention through trust and performance expectancy. Facilitation conditions indirectly influenced behavioral intention through effort expectancy. This study makes a vital theoretical contribution to policymakers and product developers for the further diffusion of mHealth among young people in Japan.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15156-:d:975302
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/15156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/15156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jianfei CAO & Yeongjoo Lim & Kota Kodama, 2021. "Smartphone Addiction and Life Satisfaction: Mediating Effects of Sleep Quality and Self-Health," Global Journal of Health Science, Canadian Center of Science and Education, vol. 13(3), pages 1-8, March.
    2. Mohamed Farid & Jianfei Cao & Yeongjoo Lim & Teruyo Arato & Kota Kodama, 2020. "Exploring Factors Affecting the Acceptance of Genetically Edited Food Among Youth in Japan," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
    3. Deng, Zhaohua & Liu, Shan & Hinz, Oliver, 2015. "The Health Information Seeking and Usage Behavior Intention of Chinese Consumers through Mobile Phone," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77133, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    5. Cho, Heetae & Chi, Christina & Chiu, Weisheng, 2020. "Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model," Technology in Society, Elsevier, vol. 63(C).
    6. Yumei Luo & Guiping Wang & Yuwei Li & Qiongwei Ye, 2021. "Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps," IJERPH, MDPI, vol. 18(11), pages 1-17, May.
    7. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    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. Muhammad Azeem Ashraf & Nadia Shabnam & Samson Maekele Tsegay & Guoqin Huang, 2023. "Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students," IJERPH, MDPI, vol. 20(3), pages 1-14, February.

    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. 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.
    2. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    3. Amiruddin Saleh & Johan David Wetik & Sik Sumaedi, 2023. "Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors," SAGE Open, , vol. 13(4), pages 21582440231, November.
    4. Waleed Mansi G Alshammari & Fahad Maiyah M Alshammari & Faiz Mayah M Alshammry, 2021. "Factors Influencing the Adoption of E-Health Management among Saudi Citizens with Moderating Role of E-Health Literacy," Information Management and Business Review, AMH International, vol. 13(3), pages 47-61.
    5. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    6. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    7. Nathanael Johnson & Torsten Reimer, 2023. "The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    8. Bao-Ngoc Tong & Cheng-Ping Cheng & Lien-Wen Liang & Yi-Jun Liu, 2023. "Using Network DEA to Explore the Effect of Mobile Payment on Taiwanese Bank Efficiency," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    9. Abhipsa Pal & Tejaswini Herath & Rahul De’ & H. Raghav Rao, 2021. "Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage," Information Systems Frontiers, Springer, vol. 23(4), pages 941-961, August.
    10. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    11. 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.
    12. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    13. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    14. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    15. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    16. Wasef Mater & Nasim Matar & Omar A. Alismaiel & Moteeb A. Al Moteri & Ibrahim Youssef Al Youssef & Waleed Mugahed Al-Rahmi, 2021. "Factors influencing the intention behind mobile wallet adoption: perceptions of university students," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 447-461, September.
    17. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    18. Ardvin Kester S. Ong, 2022. "A Machine Learning Ensemble Approach for Predicting Factors Affecting STEM Students’ Future Intention to Enroll in Chemistry-Related Courses," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    19. Nattakit Yuduang & Ardvin Kester S. Ong & Yogi Tri Prasetyo & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Waranya Limpasart & Thaninrat Sittiwatethanasiri & Ma. Janice J. Gumasing & Josephine D. , 2022. "Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach," IJERPH, MDPI, vol. 19(9), pages 1-19, May.
    20. Robert Jeyakumar Nathan & Vijay Victor & Melanie Tan & Maria Fekete-Farkas, 0. "Tourists’ use of Airbnb app for visiting a historical city," Information Technology & Tourism, Springer, vol. 0, pages 1-26.

    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:gam:jijerp:v:19:y:2022:i:22:p:15156-:d:975302. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.