IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v8y2019i6p181-200.html
   My bibliography  Save this article

Understanding the insight of factors affecting mHealth adoption: A systematic review

Author

Listed:
  • Md. Abdul Kaium

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Yukun Bao

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Mohammad Zahedul Alam

    (School of Management, Wuhan University of Technology, China)

  • Najmul Hasan

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Md. Rakibul Hoque

    (Management Information Systems, University of Dhaka, Bangladesh)

Abstract

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare. Key Words:mHealth; Adoption; Factors; Self-Care; a systematic review.

Suggested Citation

  • Md. Abdul Kaium & Yukun Bao & Mohammad Zahedul Alam & Najmul Hasan & Md. Rakibul Hoque, 2019. "Understanding the insight of factors affecting mHealth adoption: A systematic review," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 181-200, October.
    • Handle: RePEc:rbs:ijbrss:v:8:y:2019:i:6:p:181-200
    as

    Download full text from publisher

    File URL: https://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/522/482
    Download Restriction: no
    File URL: https://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oecd, 2013. "Electronic and Mobile Commerce," OECD Digital Economy Papers 228, OECD Publishing.
    2. Hoque, Md. Rakibul & Karim, Mohammad Rezaul & Amin, Mohammad Bin, 2015. "Factors Affecting the Adoption of mHealth Services among Young Citizen: A Structural Equation Modeling (SEM) Approach," Asian Business Review, Asian Business Consortium, vol. 5(2), pages 60-65.
    3. Chandwani, Rajesh & De, Rahul & Dwivedi, Yogesh K., 2018. "Telemedicine for low resource settings: Exploring the generative mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 177-187.
    4. Rui Miao & Qi Wu & Zheng Wang & Xilin Zhang & Yuqin Song & Hui Zhang & Qingfang Sun & Zhibin Jiang, 2017. "Factors that influence users’ adoption intention of mobile health: a structural equation modeling approach," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5801-5815, October.
    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. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(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. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. 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.
    3. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    4. Tian , Xiaoguang & Prybutok, Victor & Mirzaei, Fouad & Dinulescu, Catalin C., 2020. "Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 156-181, May.
    5. Alin ZAMFIROIU & Mihai Liviu DESPA, 2013. "Reasons, Circumstances and Innovative Trends in Mobile Environments," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(2), pages 109-118.
    6. Yujuico, Emmanuel, 2015. "Considerations in the diffusion of a public traffic app for Metro Manila," Journal of Transport Geography, Elsevier, vol. 42(C), pages 48-56.
    7. Gur, K. & Chatzikyriakou, D. & Baschet, C. & Salomon, M., 2018. "The reuse of electrified vehicle batteries as a means of integrating renewable energy into the European electricity grid: A policy and market analysis," Energy Policy, Elsevier, vol. 113(C), pages 535-545.
    8. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    9. Muhammad Irfan & Mohammad Farid Shamsudin & Noor Hadi, 2016. "How Important Is Customer Satisfaction? Quantitative Evidence from Mobile Telecommunication Market," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(6), pages 1-57, May.
    10. 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.
    11. Mohammad Saleem AL-SHURA & Abdelrahim M. ZABADI & Mohamad ABUGHAZALEH & Marwa A. ALHADI, 2018. "Critical Success Factors for Adopting Cloud Computing in the Pharmaceutical Manufacturing Companies," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 3(2), pages 123-137, December.
    12. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    13. Hennings, Christine & Herstatt, Cornelius, 2019. "Belief elicitation study: Identifying salient beliefs of patients towards the use of mHealth," Working Papers 107, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    14. Maksym Koghut & Omar AI-Tabbaa, 2021. "Exploring Consumers’ Discontinuance Intention of Remote Mobile Payments during Post-Adoption Usage: An Empirical Study," Administrative Sciences, MDPI, vol. 11(1), pages 1-33, February.
    15. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    16. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    17. Manish Mohan Baral & Amitabh Verma, 2021. "Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach," FIIB Business Review, , vol. 10(3), pages 255-275, September.
    18. Laetitia Chaix & Dominique Torre, 2015. "The Dual Role of Mobile Payment in Developing Countries," GREDEG Working Papers 2015-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    19. Laya, Andres & Bratu, Vlad-loan & Markendahl, Jan, 2013. "Who is investing in machine-to-machine communications?," 24th European Regional ITS Conference, Florence 2013 88475, International Telecommunications Society (ITS).
    20. Abba Yadou Barnabé & Ningaye Paul & Bangake Chrysost, 2021. "Do remittances spur financial inclusion in Africa? a multi-dimensional approach," Economics Bulletin, AccessEcon, vol. 41(2), pages 328-341.

    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:rbs:ijbrss:v:8:y:2019:i:6:p:181-200. 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: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.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.