IDEAS home Printed from https://ideas.repec.org/a/aes/jetimm/v1y2021i1p40-48.html
   My bibliography  Save this article

What is Important for Consumers in Wearable Medical Device (WMD) Usage Intention?

Author

Listed:
  • Idil ATASU

    (Bogazici University)

  • Aslıhan NASIR

    (Bogazici University)

  • Hande TURKER

    (Bogazici University)

Abstract

The global wearable medical device (WMD) sector has been alluring for businesses with a market value of $13 billion in 2019 and is expected to witness an annual growth rate of 27.9% by reaching $93.19 billion in 2027. Rising demand for advanced and continuous monitoring products fueled by health consciousness is encouraging people to adopt wearable medical devices. Due to high pervasiveness of lifestyle-associated disorders, such as diabetes and hypertension; continuous monitoring of several physiological parameters such as blood sugar levels and blood pressure have been required. WMDs allow merging of healthcare data with portable devices, which can be forwarded to physicians for real-time access to data with minimal errors. Furthermore, focus on personalized monitoring and care is demanded, since rising mortality rates due to non-communicable diseases are a major concern. Therefore, it becomes crucial to understand the role of data privacy related issues on the intention to use WMDs. This study aims to explore the impact of perceived benefits of WMDs, data accuracy of WMDs, and trust in the medical provider who has access to the health data collected by the WMD on intention to use WMDs. It is revealed that perceived benefits and data accuracy both have significant impact on usage intention of WMDs while trust in the medical provider does not have such an effect. These findings have crucial implications regarding the relation amongst patients/users, medical providers and WMD producers.

Suggested Citation

  • Idil ATASU & Aslıhan NASIR & Hande TURKER, 2021. "What is Important for Consumers in Wearable Medical Device (WMD) Usage Intention?," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 40-48, August.
    • Handle: RePEc:aes:jetimm:v:1:y:2021:i:1:p:40-48
    as

    Download full text from publisher

    File URL: http://www.etimm.ase.ro/RePEc/aes/jetimm/2021/ETIMM_V01_2021_26.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He Li & Lu Yu & Wu He, 2019. "The Impact of GDPR on Global Technology Development," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 22(1), pages 1-6, January.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    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. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    2. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    3. Zhenhui (Jack) Jiang & Cheng Suang Heng & Ben C. F. Choi, 2013. "Research Note —Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions," Information Systems Research, INFORMS, vol. 24(3), pages 579-595, September.
    4. Lingling Gao & Kerem Aksel Waechter, 0. "Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    5. repec:thr:techub:1009:y:2020:i:1:p:397-404 is not listed on IDEAS
    6. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    7. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    8. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Marymagdaline E. Tarkang & Ruth N. Yunji & Simplice A. Asongu & Uju V. Alola, 2021. "Antecedents of Customer Loyalty (CL) in the Mobile Telecommunication Companies in Cameroon," Working Papers 21/036, European Xtramile Centre of African Studies (EXCAS).
    10. Ying, Shiyi & Huang, Youlin & Qian, Lixian & Song, Jinzhu, 2023. "Privacy paradox for location tracking in mobile social networking apps: The perspectives of behavioral reasoning and regulatory focus," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    11. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    12. Dongxiao Gu & Xuejie Yang & Xingguo Li & Hemant K. Jain & Changyong Liang, 2018. "Understanding the Role of Mobile Internet-Based Health Services on Patient Satisfaction and Word-of-Mouth," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    13. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    14. Nur Diyana Rossiman & Norzaidah Hidayah Rashid & Wardah Annadiah Ahmad Ramzuna & Mohammad Nabil Almunawar, 2021. "The Perception and Usage of Google Drive Among Higher Education Institution Students in Brunei Darussalam," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 222-241, July.
    15. Cheolho Yoon & Dongsup Lim, 2021. "Customers’ Intentions to Switch to Internet-Only Banks: Perspective of the Push-Pull-Mooring Model," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    16. Han, Heejeong & Park, Arum & Chung, Namho & Lee, Kyoung Jun, 2016. "A near field communication adoption and its impact on Expo visitors’ behavior," International Journal of Information Management, Elsevier, vol. 36(6), pages 1328-1339.
    17. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    18. Janice C. Sipior & Burke T. Ward, 2008. "Trust, privacy, and legal protection in the use of software with surreptitiously installed operations: An empirical evaluation," Information Systems Frontiers, Springer, vol. 10(1), pages 3-18, March.
    19. Faulkner, Nicholas & Jorgensen, Bradley & Borg, Kim, 2017. "What encourages citizens to use e-government? A rapid review and comprehensive model," OSF Preprints e58bg, Center for Open Science.
    20. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    21. Julian Schuir & Frank Teuteberg, 2021. "Understanding augmented reality adoption trade-offs in production environments from the perspective of future employees: A choice-based conjoint study," Information Systems and e-Business Management, Springer, vol. 19(3), pages 1039-1085, September.

    More about this item

    Keywords

    Healthcare; Wearable health technology; Wearable medical device.;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    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:aes:jetimm:v:1:y:2021:i:1:p:40-48. 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: Lucian Onisor (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.