IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i14p6058-d1436044.html
   My bibliography  Save this article

Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services

Author

Listed:
  • Fan Xu

    (Robotics Institute, Ningbo University of Technology, Ningbo 315211, China)

  • Jing Hu

    (Department of Industrial Design, College of Design, Hanyang University, Ansan 15588, Republic of Korea)

  • Duanduan Liu

    (Department of Industrial Design, College of Design, Hanyang University, Ansan 15588, Republic of Korea)

  • Chao Zhou

    (Department of Industrial Design, School of Art and Communication, China Jiliang University, Hangzhou 310018, China)

Abstract

The aging population is placing pressure on the healthcare system, and the private sector is innovating healthcare through digitalization. Mobile applications for medical escort services (MA-MES) could become a sustainable healthcare tool, assisting adult children in scheduling escorts to accompany their elderly parents to medical appointments. This creates new collaborative methods and service processes for healthcare services. This research applies the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model to identify the intentions of adult children to use MA-MES for their elderly parents. Data were gathered from 350 individuals in the age group of 20 to 59 years and analyzed using structural equation modeling (SEM). The findings indicated that the performance expectancy (PE), effort expectancy (EE), social influence (SI), price value (PV), and perceived trust (PT) significantly increased behavioral intentions (BI). Perceived risk (PR) mediated the relationship between PT and BI, while age moderated the effects of PT on BI. Cohabitation with elderly parents moderated the effects of SI and PT on BI. This research proposes a unique model to predict the intentions of adult children to use MA-MES for their aging parents. It provides insights enabling managers to carry out continuous innovation in MA-MES.

Suggested Citation

  • Fan Xu & Jing Hu & Duanduan Liu & Chao Zhou, 2024. "Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6058-:d:1436044
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/14/6058/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/14/6058/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jang, Sung Hee & Kim, Rachel H. & Lee, Chang Won, 2016. "Effect of u-healthcare service quality on usage intention in a healthcare service," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 396-403.
    2. 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.
    3. Bugshan, Hatem & Attar, Razaz Waheeb, 2020. "Social commerce information sharing and their impact on consumers," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    4. Jui-Che Tu & Shi Chen Luo & Yi-Lin Lee & Ming-Feng Shih & Shu-Ping Chiu, 2022. "Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    5. 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.
    6. Tim Schwanen & Martin Dijst & Frans M. Dieleman, 2001. "Leisure trips of senior citizens: determinants of modal choice," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 92(3), pages 347-360, August.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Irianna Futri & Chavis Ketkaew & Phaninee Naruetharadhol, 2024. "Influential Factors Affecting the Intention to Utilize Advance Care Plans (ACPs) in Thailand and Indonesia," Societies, MDPI, vol. 14(8), pages 1-20, July.
    3. Jui-Che Tu & Xi-Hui Jia, 2024. "A Study on Immersion and Intention to Pay in AR Broadcasting: Validating and Expanding the Hedonic Motivation System Adoption Mode," Sustainability, MDPI, vol. 16(5), pages 1-37, February.
    4. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    5. Mou, Jian & Benyoucef, Morad, 2021. "Consumer behavior in social commerce: Results from a meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    6. Tazizur Rahman & Yang Sok Kim & Mijin Noh & Choong Kwon Lee, 2020. "Determinants of social commerce adoption in an emerging economy," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 479-502, December.
    7. Xin Wang & Xingmeng Ma & Ziyi Wang & Yanlong Guo, 2024. "A Study on the Factors Influencing the Sustainable Development of Education in the Context of COVID-19: Tencent Conference Online Platform," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    8. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    9. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    10. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    11. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    12. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    13. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    14. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    15. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    16. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    17. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    18. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    19. Waqar Younas & K. Ramanathan Kalimuthu, 2021. "Telecom microfinance banking versus commercial banking: a battle in the financial services sector," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(2), pages 67-80, June.
    20. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.

    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:jsusta:v:16:y:2024:i:14:p:6058-:d:1436044. 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.