Skip to main content
SpringerLink
Log in

Exploring the Technology Acceptance of Wearable Medical Devices Among the Younger Generation in Malaysia: The Role of Cognitive and Social Factors

  • Conference paper
  • First Online:
Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 573))

  • 624 Accesses

Abstract

The technological advancements in the contemporary world have made the offsite monitoring of patients possible, allowing individuals to keep track of their health by using wearable medical devices (WMDs). The ability of such devices to monitor and communicate health-related information between patients and caregivers can potentially help in combatting non-communicable diseases. Such devices are expected to grow exponentially in demand with the rapid proliferation of ICT and empowerment by both knowledgeable consumers and wider penetration of IoT, catalyzed by the younger generation. Hence, this quantitative research study was conducted in the Klang Valley (consisting of Kuala Lumpur and Selangor states) to explore and compare the factors influencing the intention to use WMDs among the younger generation in Malaysia by extending the technology acceptance model with word of mouth and electronic word of mouth. The results show that perceived usefulness, word of mouth, and electronic word of mouth are the significant factors influencing the intention to use WMDs among the younger generation. Furthermore, Gen Y and Gen Z have different factors influencing their intention to use WMDs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Li, J., Carayon, P.: Health care 4.0: a vision for smart and connected health care. IISE Trans. Healthcare Syst. Eng. (2021). https://doi.org/10.1080/24725579.2021.1884627

  2. Voss, T.J., Subbian, V., Beyette, F.R.: Feasibility of energy harvesting techniques for wearable medical devices. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 626–629 (2014https://doi.org/10.1109/EMBC.2014.6943669

  3. Lee, S.M., Lee, D.H.: Healthcare wearable devices: an analysis of key factors for continuous use intention. Serv. Bus. 14(4), 503–531 (2020). https://doi.org/10.1007/s11628-020-00428-3

    Article  Google Scholar 

  4. O’Donovan, T., O’Donoghue, J., Sreenan, C., Sammon, D., O’Reilly, P., O’Connor, K.A.: A context aware wireless Body Area Network (BAN). 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009 (2009). https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5987

  5. Pataranutaporn, P., Jain, A., Johnson, C.M., Shah, P., Maes, P.: Wearable lab on body: combining sensing of biochemical and digital markers in a wearable device. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 3327–3332 (2019). https://doi.org/10.1109/EMBC.2019.8857479

  6. Reeder, B., David, A.: Journal of biomedical informatics. J. Biomed. Inform. 63, 269–276 (2016). https://doi.org/10.1016/j.jbi.2021.103845

    Article  Google Scholar 

  7. Greiwe, J., Nyenhuis, S.M.: Wearable technology and how this can be implemented into clinical practice. Curr. Allergy Asthma Rep. 20(8), 1 (2020). https://doi.org/10.1007/s11882-020-00927-3

    Article  Google Scholar 

  8. Tison, G.H. et al.: Passive detection of atrial fibrillation using a commercially available smartwatch. JAMA Cardiol. 3(5) (2018). https://doi.org/10.1001/jamacardio.2018.0136

  9. Zhou, J., Salvendy, G. (eds.): DUXU 2015. LNCS, vol. 9194. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20913-5

    Book  Google Scholar 

  10. Castaneda, D., Esparza, A., Ghamari, M., Soltanpur, C., Nazeran, H.: A review on wearable photoplethysmography sensors and their potential future application in hDealthcare. HHS Public Access 4(4), 195–202 (2019). https://doi.org/10.15406/ijbsbe.2018.04.00125.A

    Article  Google Scholar 

  11. Isakadze, N., Martin, S.S.: How useful is the smartwatch ECG? Trends Cardiovasc. Med. 30(7), 442–448 (2020). https://doi.org/10.1016/j.tcm.2019.10.010

    Article  Google Scholar 

  12. Hsu, H., Chang, Y.: Extended TAM model: impacts of convenience on acceptance and use of moodle. US-China Educ. Rev. A 3(4), 211–218 (2013)

    Google Scholar 

  13. National Institutes of Health, “Non-Communicable Diseases: Risk Factors and other Health Problems” (2019)

    Google Scholar 

  14. Kim, T., Chiu, W.: Consumer acceptance of sports wearable technology: the role of technology readiness. Int. J. Sports Mark. Spons. 20(1), 109–126 (2019). https://doi.org/10.1108/IJSMS-06-2017-0050

    Article  Google Scholar 

  15. Pfeiffer, J., Von Entress-Fürsteneck, M., Urbach, N., Buchwald, A.: Quantify-ME: consumer acceptance of wearable self-tracking devices. 24th European Conference on Information Systems, ECIS 2016, pp. 0–15 (2016)

    Google Scholar 

  16. Asadi, S., Safaei, M., Yadegaridehkordi, E., Nilashi, M.: Antecedents of consumers’ intention to adopt wearable healthcare devices. J. Soft Comput. Decision Support Syst. 6(2), 6–11 (2019)

    Google Scholar 

  17. Zhang, M., Luo, M., Nie, R., Zhang, Y.: Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology. Int. J. Med. Informatics 108, 97–109 (2017). https://doi.org/10.1016/j.ijmedinf.2017.09.016

    Article  Google Scholar 

  18. Al-Maroof, R.S., Alhumaid, K., Alhamad, A.Q., Aburayya, A., Salloum, S.: User acceptance of smart watch for medical purposes: an empirical study. Future Internet 13(5), 1–19 (2021). https://doi.org/10.3390/fi13050127

    Article  Google Scholar 

  19. Loo, C.W.: “Modelling Malaysia intention to use smartwatch_ Smartwatch.pdf,” University of Wales Trinity Saint David (2022)

    Google Scholar 

  20. Beh, P.K., Ganesan, Y., Iranmanesh, M., Foroughi, B.: Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behav. Inf. Technol. (2019). https://doi.org/10.1080/0144929X.2019.1685597

    Article  Google Scholar 

  21. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. Manag. Inf. Syst. 13(3), 318–340 (1989)

    Google Scholar 

  22. Dutot, V., Bhatiasevi, V., Bellallahom, N.: Applying the technology acceptance model in a three-countries study of smartwatch adoption. J. High Technol. Manag. Res. 30, 1–14 (2019). https://doi.org/10.1016/j.hitech.2019.02.001

    Article  Google Scholar 

  23. Yap, W.Z., Get, L.J., Sia, B.C., Goh, H.L.: The 2nd Conference on Management , Business , Innovation , Education , and Social Science (CoMBInES) The 2nd Conference on Management, Business, Innovation, Education, and Social Science (CoMBInES ),” The 2nd Conference on Management, Business, Innovation, Education, and Social Science (CoMBInES), pp. 164–177 (2022)

    Google Scholar 

  24. AlAjmi, Q., Al-Sharafi, M.A., Yassin, A.A.: Behavioral Intention of Students in Higher Education Institutions Towards Online Learning During COVID-19. In: Arpaci, I., Al-Emran, M., A. Al-Sharafi, M., Marques, G. (eds.) Emerging Technologies During the Era of COVID-19 Pandemic. SSDC, vol. 348, pp. 259–274. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67716-9_16

    Chapter  Google Scholar 

  25. Arpaci, I., Al-Emran, M., Al-Sharafi, M.A.: The impact of knowledge management practices on the acceptance of Massive Open Online Courses (MOOCs) by engineering students: a cross-cultural comparison. Telematics Inf. 54 (2020). https://doi.org/10.1016/j.tele.2020.101468

  26. Al-Tahitah, A.N., Al-Sharafi, M.A., Abdulrab, M.: How COVID-19 Pandemic Is Accelerating the Transformation of Higher Education Institutes: A Health Belief Model View. In: Arpaci, I., Al-Emran, M., A. Al-Sharafi, M., Marques, G. (eds.) Emerging Technologies During the Era of COVID-19 Pandemic. SSDC, vol. 348, pp. 333–347. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67716-9_21

    Chapter  Google Scholar 

  27. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. Inorg. Chem. Commun. 27(3), 425–478 (2003). https://doi.org/10.1016/j.inoche.2016.03.015

    Article  Google Scholar 

  28. Venkatesh, V., Thong, J.Y.L., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quart. Manag. Inf. Syst. 36(1), 157–178 (2012). https://doi.org/10.2307/41410412

    Article  Google Scholar 

  29. Huete-Alcocer, N.: A literature review of word of mouth and electronic word of mouth: implications for consumer behavior. Front. Physiol. 8(1256), 1–4 (2017). https://doi.org/10.3389/fpsyg.2017.01256

    Article  Google Scholar 

  30. Hsiao, K.L.: What drives smartwatch adoption intention? Comparing Apple and non-Apple watches. Library Hi Tech 35(1), 186–206 (2017). https://doi.org/10.1108/LHT-09-2016-0105

    Article  MathSciNet  Google Scholar 

  31. Ruangkanjanases, A., Wongprasopchai, S.: Adoption of mobile banking services: an empirical examiniation between generation y and generation z in Thailand 1(1), 1–12 (2018)

    Google Scholar 

  32. Cham, T.H., Cheng, B.L., Low, M.P., Cheok, J.B.C.: Brand image as the competitive edge for hospitals in medical tourism. Europ. Bus. Rev. 33(1) (2021). https://doi.org/10.1108/EBR-10-2019-0269

  33. Memon, M.A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., Cham, T.H.: Sample size for survey research: review and recommendations. J. Appl. Struct. Eq. Model. 4(2), i–xx (2020). https://doi.org/10.47263/jasem.4(2)01

    Article  Google Scholar 

  34. “Contribution of Digital Economy was 18.5 per cent to National Economy,” Department of Statistics Malaysia, Oct. 16, 2019. https://dosm.gov.my/v1/index.php?r=column/ctheme&menu_id=b0pIV1E3RW40VWRTUkZocEhyZ1pLUT09&bul_id=UERrcjExbnRKd3NwQ0Y3V011RngyQT09. Accessed 12 July 2021

  35. Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks (2017)

    Google Scholar 

  36. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2014). https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  37. Cheah, J.H., Thurasamy, R., Memon, M.A., Chuah, F., Ting, H.: Multigroup analysis using smartpls: Step-by-step guidelines for business research. Asian J. Bus. Res. 10(3) (2020). https://doi.org/10.14707/ajbr.200087

  38. Niknejad, N., Hussin, A.R.C., Ghani, I., Ganjouei, F.A.: A confirmatory factor analysis of the behavioral intention to use smart wellness wearables in Malaysia. Univ. Access Inf. Soc. 19(3), 633–653 (2019). https://doi.org/10.1007/s10209-019-00663-0

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia

    Way Zhe Yap, Bee Chuan Sia & Hong Lip Goh

  2. UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia

    Tat Huei Cham

Authors
  1. Way Zhe Yap
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bee Chuan Sia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hong Lip Goh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tat Huei Cham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Way Zhe Yap .

Editor information

Editors and Affiliations

  1. Department of Business Analytics, Sunway University, Subang Jaya, Selangor, Malaysia

    Mohammed A. Al-Sharafi

  2. The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  3. Al Buraimi University College, Al Buraimi, Oman

    Mohammed Naji Al-Kabi

  4. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yap, W.Z., Sia, B.C., Goh, H.L., Cham, T.H. (2023). Exploring the Technology Acceptance of Wearable Medical Devices Among the Younger Generation in Malaysia: The Role of Cognitive and Social Factors. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems . ICETIS 2022. Lecture Notes in Networks and Systems, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-031-20429-6_60

Download citation

Publish with us

Policies and ethics

Search

Navigation