E-service quality in m-Health applications: The moderating effect of gender and domicile area

Authors

DOI:

https://doi.org/10.20525/ijrbs.v13i5.3565

Keywords:

e-service quality, loyalty, satisfaction, demographic, m-health

Abstract

This study aims to investigate the effect of e-service quality (ESQ) in m-Health application on loyalty (LOY), focusing on the mediating customer satisfaction (SAT) and the moderating role of gender and domicile area on user loyalty. The study used quantitative research and the population of this study was m-Health application users with 260 respondents using the purposive sampling method. The analysis method used is PROCESS Macro Mediated Moderation Model 14 by SPSS 29. The results indicate that e-service quality positively and significantly affects user loyalty. Additionally, e-service quality has a positive and significant impact on consumer satisfaction and also the quality of consumer satisfaction has a positive and significant impact on loyalty. The study also found that customer satisfaction mediates the relationship of e-service quality on user loyalty. However, the demographic variables, gender, and domicile area were found have no impact on the relationship between consumer satisfaction and loyalty.

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References

Aditya, S., & Indradjaja, B. (2022). Digitizing Indonesia’s Health Care Sector. https://www2.deloitte.com/id/en/pages/life-sciences-and-healthcare/articles/id-tmt-lshc-digitalhealth-2022.html

Akter, S., D’Ambra, J., Ray, P., & Hani, U. (2013). Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life. Behaviour and Information Technology, 32(12), 1225–1241. https://doi.org/10.1080/0144929X.2012.745606 DOI: https://doi.org/10.1080/0144929X.2012.745606

Al-Okaily, M. (2023). The influence of e-satisfaction on users’ e-loyalty toward e-wallet payment apps: a mediated-moderated model. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-08-2022-1313 DOI: https://doi.org/10.1108/IJOEM-08-2022-1313

Azad, M. A. K., Rumman, N. S., Connolly, R., Wanke, P., & Mumu, J. R. (2022). Towards an improved understanding of the antecedents of digital health service loyalty during a pandemic: An fsQCA approach. Socio-Economic Planning Sciences, 84. https://doi.org/10.1016/j.seps.2022.101423 DOI: https://doi.org/10.1016/j.seps.2022.101423

Blut, M. (2016). E-Service Quality: Development of a Hierarchical Model. Journal of Retailing, 92(4), 500–517. https://doi.org/10.1016/j.jretai.2016.09.002 DOI: https://doi.org/10.1016/j.jretai.2016.09.002

Chan, V. H. Y., Chiu, D. K. W., & Ho, K. K. W. (2022). Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era. Journal of Retailing and Consumer Services, 67. https://doi.org/10.1016/j.jretconser.2022.102960 DOI: https://doi.org/10.1016/j.jretconser.2022.102960

Chawla, D., & Joshi, H. (2023). Role of Mediator in Examining the Influence of Antecedents of Mobile Wallet Adoption on Attitude and Intention. Global Business Review, 24(4), 609–625. https://doi.org/10.1177/0972150920924506 DOI: https://doi.org/10.1177/0972150920924506

Ferdinand, A. (2006). Metode Penelitian Manajemen: Pedoman Penelitian Untuk Penulisan Skripsi, Tesis, dan Disertasi Ilmu Manajemen. Badan Penerbit Universitas Diponegoro.

Handayani, P. W., Gelshirani, N. B., Azzahro, F., Pinem, A. A., & Hidayanto, A. N. (2020). The influence of argument quality, source credibility, and health consciousness on satisfaction, use intention, and loyalty on mobile health application use. Informatics in Medicine Unlocked, 20, 100429. https://doi.org/10.1016/j.imu.2020.100429 DOI: https://doi.org/10.1016/j.imu.2020.100429

Kalini?, Z., Marinkovi?, V., Djordjevic, A., & Liebana-Cabanillas, F. (2020). What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach. Journal of Enterprise Information Management, 33(1), 71–94. https://doi.org/10.1108/JEIM-05-2019-0136 DOI: https://doi.org/10.1108/JEIM-05-2019-0136

Krebs, P., & Duncan, D. T. (2015). Health App Use Among US Mobile Phone Owners: A National Survey. JMIR MHealth and UHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924 DOI: https://doi.org/10.2196/mhealth.4924

Ladhari, R., & Leclerc, A. (2013). Building loyalty with online financial services customers: Is there a gender difference? Journal of Retailing and Consumer Services, 20(6), 560–569. https://doi.org/10.1016/j.jretconser.2013.07.005 DOI: https://doi.org/10.1016/j.jretconser.2013.07.005

Oppong, E., Hinson, R. E., Adeola, O., Muritala, O., & Kosiba, J. P. (2021). The effect of mobile health service quality on user satisfaction and continual usage. Total Quality Management & Business Excellence, 32(1–2), 177–198. https://doi.org/10.1080/14783363.2018.1541734 DOI: https://doi.org/10.1080/14783363.2018.1541734

Pramudita, E., Achmadi, H., & Nurhaida, H. (2023). Determinants of behavioral intention toward telemedicine services among Indonesian Gen-Z and Millenials: a PLS–SEM study on Alodokter application. Journal of Innovation and Entrepreneurship, 12(1). https://doi.org/10.1186/s13731-023-00336-6 DOI: https://doi.org/10.1186/s13731-023-00336-6

Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10). https://doi.org/10.1016/j.heliyon.2019.e02690 DOI: https://doi.org/10.1016/j.heliyon.2019.e02690

Santos-Vijande, M. L., Gómez-Rico, M., Molina-Collado, A., & Davison, R. M. (2022). Building user engagement to mhealth apps from a learning perspective: Relationships among functional, emotional and social drivers of user value. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2022.102956 DOI: https://doi.org/10.1016/j.jretconser.2022.102956

Sheu, P. L., & Chang, S. C. (2022). Relationship of service quality dimensions, customer satisfaction and loyalty in e-commerce: a case study of the Shopee App. Applied Economics, 54(40), 4597–4607. https://doi.org/10.1080/00036846.2021.1980198 DOI: https://doi.org/10.1080/00036846.2021.1980198

Talukder, M., Aroos-Sheriffdeen, S., Khan, M. I., Quazi, A., & Abdullah, A. B. M. (2023). Usage behavior of mHealth service users in Australia: do user demographics matter? Journal of Services Marketing, 37(7), 801–816. https://doi.org/10.1108/JSM-08-2021-0287 DOI: https://doi.org/10.1108/JSM-08-2021-0287

World Health Organization. (2011). mHealth New Horizon for Health Through Mobile Technologies. https://iris.who.int/bitstream/handle/10665/44607/9789241564250_eng.pdf?sequence=1

Xu, C., Peak, D., & Prybutok, V. (2015). A customer value, satisfaction, and loyalty perspective of mobile application recommendations. Decision Support Systems, 79, 171–183. https://doi.org/10.1016/j.dss.2015.08.008 DOI: https://doi.org/10.1016/j.dss.2015.08.008

Yum, K., & Yoo, B. (2023). The Impact of Service Quality on Customer Loyalty through Customer Satisfaction in Mobile Social Media. Sustainability, 15(14), 11214. https://doi.org/10.3390/su151411214 DOI: https://doi.org/10.3390/su151411214

Zagita, T. C., Handayani, P. W., & Budi, N. F. A. (2019). Analysis of Factors Affecting the Loyalty of Using Online Health Services: Case Study of Alodokter. 2019 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 279–284. https://doi.org/10.1109/ICACSIS47736.2019.8979973 DOI: https://doi.org/10.1109/ICACSIS47736.2019.8979973

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Published

2024-08-20

How to Cite

Mayori, C., & Radityo Putro, H. (2024). E-service quality in m-Health applications: The moderating effect of gender and domicile area. International Journal of Research in Business and Social Science (2147- 4478), 13(5), 923–930. https://doi.org/10.20525/ijrbs.v13i5.3565

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