nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

A Proposed Model for Embracing Digital Horizons: Exploring Patient-Centric Wearable Healthcare Technology

verfasst von : Sook Fern Yeo, Cheng Ling Tan, Kah Boon Lim, Mohammad Tariqul Islam Khan, Anushia Chelvarayan, Mohd Helmi Ali, Ratih Hendayani

Erschienen in: Islamic Finance

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The aims of this study were to examine the influential factors on the intention to accept healthcare wearables among Malaysians. This study situates itself within the realm of technology acceptance, particularly focusing on healthcare wearables in Malaysia. The purpose of this study is in line with the Strategic Thrust in 11th Malaysia Plan to improve the well-being of all Malaysians regardless of socioeconomic background. Being the first of its kind, this study proposes a conceptual model to investigate the factors that influence patients’ acceptance to use healthcare wearables in a developing country, Malaysia. The findings of this study can be utilised by digital health wearables manufacturers, marketers, and health practitioners in developing better strategies to increase the patients’ acceptance to use this technology.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Metaphor Construction of Environmental Issues in Chinese and American News Media

Nächstes Kapitel Exploring an Appropriate Legal Mechanism for Consumers in Halal Food Abuse Cases

Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2):179–211CrossRef

Alalwan AA, Dwivedi YK, Rana NP, Lal B, Williams MD (2015) Consumer adoption of internet banking in Jordan: examining the role of hedonic motivation, habit, self-efficacy and trust. J Financial Serv Market 20(2):145–157CrossRef

Allah Pitchay A, Ganesan Y, Zulkifli NS, Khaliq A (2022) Determinants of customers’ intention to use online food delivery application through smartphone in Malaysia. Br Food J 124(3):732–753CrossRef

Analysys Mason (2020, March 30) Smart Devices: Worldwide Trends and forecasts 2021–2026

Bianchi C, Tuzovic S, Kuppelwieser VG (2022) Investigating the drivers of wearable technology adoption for healthcare in South America. Inf Technol People 36:916. https://doi.org/10.1108/ITP-01-2021-0049CrossRef

Binyamin Sami S, Md. Rakibul Hoque (2020) Understanding the drivers of wearable health monitoring technology: an extension of the unified theory of acceptance and use of technology. Sustainability, 12(22): 9605

Chan M, Estève D, Fourniols JY, Escriba C, Campo E (2012) Smartwearable systems: current status and future challenges. Artif Intell Med 56(3):137–156CrossRef

Chua PY, Rezaei Sajad GML, Oh Y, Jambulingam M (2018) Elucidating social networking apps decisions: performance expectancy, effort expectancy and social influence. ankai Bus Rev. Int 9(2):118–142CrossRef

Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3)

Gao S, Zhang X, Peng S (2016) Understanding the adoption of smart wearable devices to assist healthcare in China. Springer International Publishing, Cham, pp 280–291

Krejcie RV, Morgan DW (1970) Determining sample size for research activities. Educ Psychol Meas 30:607CrossRef

Li W, Gui J, Luo X, Yang J, Zhang T, Tang Q (2023) Determinants of intention with remote health management service among urban older adults: a unified theory of acceptance and use of technology perspective. Front Public Health 11:1117518CrossRef

Lei M, Clemente IM, Liu H et al (2022) The acceptance of telepresence robots in higher education. Int J of Soc Robotics 14:1025–1042CrossRef

Miltgen CL, Popovič A, Oliveira T (2013) Determinants of end-user acceptance of biometrics: integrating the ‘big 3’ of technology acceptance with privacy context. Decis Support Syst 56:103–114CrossRef

Mitchell KM, Holtz BE, McCarroll AM (2022) Assessing college students’ perceptions of and intentions to use a mobile app for mental health. Telemed J e-health 28(4):566–574CrossRef

Schloderer MP, Sarstedt M, Ringle CM (2014) The relevance of reputation in the nonprofit sector: the moderating effect of socio-demographic characteristics. Int J Nonprofit Volunt Sect Mark 19(2):110–126CrossRef

Schmitz A, Díaz-Martín AM, Yagüe Guillén MJ (2022) Modifying UTAUT2 for a cross-country comparison of telemedicine adoption. Comput Hum Behav 130:107183CrossRef

Sergueeva K, Shaw N, Lee SH (2020) Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health. Can J Adm Sci 37:45–60. https://doi.org/10.1002/cjas.1547CrossRef

Srizongkhram S, Shirahada K, Chiadamrong N (2018) Critical factors for adoption of wearable technology for the elderly: Case study of Thailand. In Proceedings of the 2018 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, USA, 19–23 August 2018; pp. 1–9

Sun Y, Wang N, Guo X, Peng Z (2013) Understanding the acceptance of mobile health services: a comparison and integration of alternative health models. J Electron Commer Res 14(2):183

Talukder MS, Sorwar GYB, Ahmed MU, Palasha AS (2020) Predicting antecedents of wearable healthcare technology acceptance by elderly: a combined SEMNeural Network approach. Technol Forecast Soc Change 150. https://doi.org/10.1016/j.techfore.2019.119793

Tehrani K, Michael A (2014) Wearable technology and wearable devices: everything you need to know, wearable devices magazine, march 26, available at: www. wearabledevices.com/what-is-a-wearable-device/

Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q:425–478

Titel: A Proposed Model for Embracing Digital Horizons: Exploring Patient-Centric Wearable Healthcare Technology
verfasst von: Sook Fern Yeo
Cheng Ling Tan
Kah Boon Lim
Mohammad Tariqul Islam Khan
Anushia Chelvarayan
Mohd Helmi Ali
Ratih Hendayani
Verlag: Springer Nature Switzerland
Buch: Islamic Finance
Print ISBN: 978-3-031-48769-9

Electronic ISBN: 978-3-031-48770-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-48770-5_57