IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v161y2020ics0040162520311549.html
   My bibliography  Save this article

Exploring people's intentions to use the health passbook in self-management: An extension of the technology acceptance and health behavior theoretical perspectives in health literacy

Author

Listed:
  • Hsieh, Pi-Jung
  • Lai, Hui-Min

Abstract

A health passbook is a personal health information system that provides people with access to their medical records, gives them their right to know this information, and makes the management of their own health status more convenient. However, the literature related to people's behavior in terms of using personal health information systems is scant. This study proposes an integrated research model to explain people's intentions to use a health passbook from the perspectives of health behavior, technology acceptance, and health literacy. The sample includes people over the age of 20 who have national health insurance (NHI). The results show that people’s intentions to use the health passbook are positively related to perceived susceptibility, perceived barriers, self-efficacy, cues to action, perceived usefulness (PU), perceived ease of use (PEOU), and health literacy; their intentions to use are negatively related to perceived barriers and rewards for maladaptive behavior. Furthermore, PEOU is positively related to PU, while health literacy has been found to have a positive effect on self-efficacy, PEOU, and PU. The results provide the basis for a model of health technology acceptance that can serve as the starting point for future research in this relatively unexplored, yet potentially fertile, area of research.

Suggested Citation

  • Hsieh, Pi-Jung & Lai, Hui-Min, 2020. "Exploring people's intentions to use the health passbook in self-management: An extension of the technology acceptance and health behavior theoretical perspectives in health literacy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:tefoso:v:161:y:2020:i:c:s0040162520311549
    DOI: 10.1016/j.techfore.2020.120328
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162520311549
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120328?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Smith, Sian K. & Dixon, Ann & Trevena, Lyndal & Nutbeam, Don & McCaffery, Kirsten J., 2009. "Exploring patient involvement in healthcare decision making across different education and functional health literacy groups," Social Science & Medicine, Elsevier, vol. 69(12), pages 1805-1812, December.
    2. Osei-Frimpong, Kofi & Wilson, Alan & Lemke, Fred, 2018. "Patient co-creation activities in healthcare service delivery at the micro level: The influence of online access to healthcare information," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 14-27.
    3. 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).
    4. Radaelli, Giovanni & Lettieri, Emanuele & Frattini, Federico & Luzzini, Davide & Boaretto, Andrea, 2017. "Users' search mechanisms and risks of inappropriateness in healthcare innovations: The role of literacy and trust in professional contexts," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 240-251.
    5. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    6. 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.
    7. Wynne W. Chin & Abhijit Gopal & W. David Salisbury, 1997. "Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation," Information Systems Research, INFORMS, vol. 8(4), pages 342-367, December.
    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. Magni, Domitilla & Scuotto, Veronica & Pezzi, Alberto & Giudice, Manlio Del, 2021. "Employees’ acceptance of wearable devices: Towards a predictive model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Nan, Dongyan & Lee, Haein & Kim, Yerin & Kim, Jang Hyun, 2022. "My video game console is so cool! A coolness theory-based model for intention to use video game consoles," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Cenamor, Javier, 2022. "Use of health self-management platform features: The case of a specialist ehealth app," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    4. Ben Nasr, Imed & Kondrateva, Galina & Khvatova, Tatiana & Ben Arfi, Wissal, 2024. "The role of Contact-Tracing Mobile Apps in pandemic prevention: A multidisciplinary perspective on health beliefs, social, and technological factors," Social Science & Medicine, Elsevier, vol. 358(C).
    5. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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. Andrew Burton-Jones & Detmar W. Straub, 2006. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, INFORMS, vol. 17(3), pages 228-246, September.
    2. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    3. Mohammadbashir Sedighi & Hamideh Parsaeiyan & Yashar Araghi, 2021. "An Empirical Study of Intention to Continue Using of Digital Ride-hailing Platforms," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 489-515, November.
    4. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    5. Carol Hsu & Jae-Nam Lee & Detmar W. Straub, 2012. "Institutional Influences on Information Systems Security Innovations," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 918-939, September.
    6. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    7. Leite, Higor & Hodgkinson, Ian R. & Lachowski Volochtchuk, Ana Vitória & Cavalcante Nascimento, Thiago, 2024. "‘It's not the boogeyman’: How voice assistant technology is bridging the digital divide for older people," Technovation, Elsevier, vol. 136(C).
    8. Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
    9. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    10. Hee-Woong Kim & Hock Chuan Chan & Atreyi Kankanhalli, 2012. "What Motivates People to Purchase Digital Items on Virtual Community Websites? The Desire for Online Self-Presentation," Information Systems Research, INFORMS, vol. 23(4), pages 1232-1245, December.
    11. Osei-Frimpong, Kofi & McLean, Graeme & Wilson, Alan & Lemke, Fred, 2020. "Customer coproduction in healthcare service delivery: Examining the influencing effects of the social context," Journal of Business Research, Elsevier, vol. 120(C), pages 82-93.
    12. Abdul Waheed Siyal & Ding Donghong & Waheed Ali Umrani & Saeed Siyal & Shaharbano Bhand, 2019. "Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers," SAGE Open, , vol. 9(2), pages 21582440198, April.
    13. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).
    14. Faqih, Khaled M.S. & Jaradat, Mohammed-Issa Riad Mousa, 2015. "Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 37-52.
    15. 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).
    16. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    17. 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.
    18. 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.
    19. Zhen Shao & Lin Zhang & Tian Meng & Jing Zhang, 2024. "The paradox of technology quality and ethical concerns in building trust and behavioral intention in the AI-enabled face recognition payment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-20, December.
    20. Yajiong Xue & Huigang Liang & Liansheng Wu, 2011. "Punishment, Justice, and Compliance in Mandatory IT Settings," Information Systems Research, INFORMS, vol. 22(2), pages 400-414, June.

    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:eee:tefoso:v:161:y:2020:i:c:s0040162520311549. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.