Consumer expectations and adoption intention towards mobile health (mHealth) application in Thailand
Keywords:
Consumer expectations, Adoption intention, Mobile health application, e-Healthcare services, Telehealth servicesAbstract
The objectives of this study were to study: 1) consumer expectations towards mobile health (mHealth)
application in Thailand, 2) adoption intentions towards mobile health (mHealth) application in Thailand,
and 3) influence of consumer expectations on adoption intention towards mobile health (mHealth)
application in Thailand. This study employed mixed-method research comprising in-depth qualitative
interviews of 20 informants in February 2023, and a quantitative survey of 339 consumers in Thailand via
Google Form for 3 months starting from March 2023 to May 2023. The qualitative findings using content
analysis indicated that consumer expectations of 42 items for mHealth application. Additionally, 80% of
interviewees were interested in downloading the mHealth application.
According to the Structural Equation Modeling analysis, the indices (TLI = 0.90, CFI = 0.91,
RMR = 0.04, RMSEA = 0.06) indicated that the model fitted the data well. It was found that the second-order
construct of consumer expectations of mHealth application had a positive effect on adoption intentions
towards mHealth application in Thailand at the significance level of 0.05. For academic contributions,
this study fills the research gap in extending the body of knowledge in healthcare industry from customer
perspectives. The findings could be an essential step for future developments of Mhealth service quality
measure based on customer expectations. For practical contributions, the study results provide benefits
for healthcare practitioners including hospitals and clinics as well as software developers in developing
and improving their mHealth applications based on actual customers’ needs. Additionally, this research
encourages government agencies to further study and develop the healthcare applications based on Thai
residents’ expectations.
References
Aagja, J. P., & Garg, R. (2010). Measuring perceived service quality for public hospitals (PubHosQual) in the Indian context. International Journal Pharmaceutical Healthcare Market, 4(1), 60-83.
Alam, M. Z., Hu, W., Hoque, M. R., & Kaium, M. A. (2020). Adoption intention and usage behavior of mHealth services in Bangladesh and China: A cross-country analysis. International Journal of Pharmaceutical and Healthcare Marketing, 14(1), 37-60.
Alviani, R., Purwandari, B., Eitiveni, I., & Purwaningsih, M. (2023). Factors affecting adoption of telemedicine for virtual healthcare services in Indonesia. Journal of Information Systems Engineering and Business Intelligence, 9(1), 47-69.
Arora, N., Malik, G., & Chawla, D. (2020). Factors affecting consumer adoption of mobile apps in NCR: A qualitative study. Global Business Review, 21(1), 176–196.
Babbie, E. (2010). The Practice of Social Research. International Edition. Wadsworth, Cengage Learning.
Banchanont, P. (2020, August 5). Telemedicine Applications. The Matter. https://thematter.co/science-tech/telemedicine-app-in-thailand/119435 [In Thai]
Bangkok Hospital. (2022). BDMS Health Passport. Bangkok Hospital. https://www.bangkokhospital.com/content/bdms-health-passport-application [In Thai]
Becker, B. & Porter, M. (2021). What and why of virtual health care. Plans & Trusts, 39(5), 14-19.
Brunk, K. H. (2012). Un/ethical company and brand perceptions: Conceptualizing and operationalizing consumer meanings. Journal of Business Ethics, 111, 551-565.
Camilleri, D., & O’Callaghan, M. (1998). Comparing public and private hospital care service Quality. International Journal of Health Care Quality Assurance Incorporating Leadership in Health Services,11(4-5), 127-33.
Chang, C. (2007). Customer expectations of the Taiwan banking industry [Doctoral Dissertation]. Nova Southeastern University.
Chen, Y., Yang, L., Zhang, M., & Yang, J. (2018). Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics, 116, 33–45 DOI 10.1016/j.ijmedinf.2018.04.008.
Churchill Jr, G.A. (1995). Marketing research. (6th ed.). The Dryden Press.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59-82.
Hadwich, K., Georgi, D., Tuzovic, S., Buttner, J., & Bruhn, M. (2010). Perceived quality of e-health Services: A conceptual scale development of e-health service quality based on the C- OAR-SE approach. International Journal of Pharmaceutical and Healthcare Marketing, 4(2), 112-136.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning EMEA.
Handayani, P. W., Meigasari, D. A., Pinem, A. A., Hidayanto, A. N., & Ayuningtyas, D. (2018). Critical success factors for mobile health implementation in Indonesia. Heliyon, 4(11), e00981.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53 – 60.
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84.
Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288.
Huettman, E. (1993). Using triangulation effectively in qualitative research. The Bulletin, September, 56(3), 42.
Hutteerat, S. (2021, September, 24). Telemedicine. Department of Mental Health https://www.dmh.go.th/news/view.asp?id=2389 [In Thai]
ICT, Office of the Permanent Secretary of Ministry of Public Health. (2017). eHealth Strategy, Ministry of Public Health (2017 – 2026). Department of Mental Health. https://ehealth.moph.go.th [In Thai]
Kaium, M. A., Bao, Y., Alam, M. Z., Hasan, N., & Hoque, M. R. (2019). Understanding the insight of factors affecting mHealth adoption: A systematic review. International Journal of Research in Business and Social Science, 8(6), 181-200.
Kaium, M. A., Bao, Y., Alam, M. Z., & Hoque, M. R. (2020). Understanding continuance usage intention of mHealth in a developing country: An empirical investigation. International Journal of Pharmaceutical and Healthcare Marketing, 14(2), 251-272.
Kao, H. Y., Wei, C. W., Yu, M. C., Liang, T. Y., Wu, W. H., & Wu, Y. J. (2018). Integrating a mobile health applications for self-management to enhance Telecare system. Telematics and Informatics, 35(4), 815–825.
Kiadrasamee, J. (2015). Factor affecting the decision making on purchasing products from the online application in Bangkok metropolitan region [Independent Study]. Faculty of Commerce and Accountancy, Thammasat University. [In Thai]
Kotler, P., & Armstrong, G. (2018). Principles of marketing (17th ed.). Pearson Education Limited.
Leavy, P. (2017). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. The Guilford Press.
Li, Y., Liu, R., Wang, J., & Zhao, T. (2022). How does mHealth service quality influences adoption? Industrial Management & Data Systems, 122(3), 774-795. https://doi.org/10.1108/IMDS-12-2020-0758.
Marshall, C., & Rossman, G. B. (2006). Designing qualitative research (4th ed.). Sage Publications, Inc.
Marshall, M. N. (1996). Sampling for qualitative research. Family Practice, 13(6), 522-526.
Mbunge, E., Muchemwa, B., & Batani, J. (2022). Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems. Sensors International, 3(100152), 1-9.
Mele, S., & Izzo, M. (2021). Virtual Healthcare: A Literature Review in Business and Management Field. International Journal of Business and Management, 16(5), 25-34.
Miao, R., Wu, Q., Wang, Z., Zhang, X., Song, Y., Zhang, H., Sun, Q., & Jiang, Z. (2017). Factors that influence users’ adoption intention of mobile health: A structural equation modeling approach. International Journal of Production Research, 55(19), 5801–5815.
Miller, J. A. (1977). Studying satisfaction, modifying models, eliciting expectations, posing problems and making meaningful measurements. In H.K. Hunt (Ed). Conceptualization and Measurement of Consumer Satisfaction and Dissatisfaction, Marketing Science Institute, Cambridge, MA, pp. 72-91.
Moh Prompt. (2022). Moh Prompt, Digital Health Platform. Facebook. https://www.facebook.com/Mohpromt/ [In Thai]
Nunnally, J. C. (1978). Psychometric theory. McGraw-Hill.
Oliver, R.L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research (pre-1986), 17, 460-469.
Pai, R. R., & Alathur, S. (2019). Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy, 13(3/4), 306-326.
Saeraneesopon T., Isaranuwatchai, W., Kittiratchakul, N., & Zayar, N. N. (2023). Study for supporting telemedicine service system. www.hitap.net [In Thai]
Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75.
Soni, M., Jain, K., & Jajodia, I. (2021). Mobile health (mHealth) application loyalty in young Consumers. Young Consumers, 22(3), 429-455.
Srivastava, M., & Raina, M. (2021). Consumers’ usage and adoption of e-pharmacy in India. International Journal of Pharmaceutical and Healthcare Marketing, 15(2), 235-250.
Suhr, D. D. (2006). Exploratory or confirmatory factor analysis? SAS Institute Inc.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Verma, P., Kumar, S., & Sharma, S. K. (2022). Evaluating the total quality and its role in measuring consumer satisfaction with e-healthcare services using the 5Qs model: A structure equation modeling approach. Benchmarking: An International Journal, 29(1), 22-46.
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care, 8(3), 1-13.
Zineldin, M. (2006). The quality of health care and patient satisfaction: an exploratory investigation of the 5Qs model at some Egyptian and Jordanian medical clinics. International Journal of Health Care Quality Assurance, 19(1), 60-92.
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