Intention to Use Halodoc E-Health Services in Indonesia

Bella Aldita; Lizar Alfansi

doi:10.56225/finbe.v2i2.226

Authors

Bella Aldita Department of Management, Faculty of Economics and Business, University of Bengkulu, Indonesia
Lizar Alfansi Department of Management, Faculty of Economics and Business, University of Bengkulu, Indonesia

DOI:

https://doi.org/10.56225/finbe.v2i2.226

Keywords:

E-health literacy, perceived information quality, trust, perceived competence, price, COVID-19 pandemic

Abstract

This study analyzes the effect of E-Health literacy, perceived information quality, trust, perceived competence, and perceived price on purchase intention. The research method is quantitative, and primary data was collected through an online questionnaire. Participants in this research consisted of 238 individuals who intended to use Halodoc E-Health services in Indonesia during the COVID-19 pandemic. The method of analysis in this study is Structural Equation Modeling (SEM). AMOS 22.0 For Windows is used to filter and analyze data. The findings reveal that the higher customers’ E-Health literation, perceived information quality, trust, and perceived price, the level of purchase intention on Halodoc will increase. Meanwhile, perceived competence has a negative effect on purchase intention. This is due to the absence of supporting information and information related to doctor qualifications, such as educational background, experience, and track record, which can affect customer perceptions of doctors' competence in using the Halodoc apps. Practical advice in this research is that service providers on the Halodoc apps can develop strategies to improve the reputation of doctors on their apps so that users can recognize and have a good perception of competence towards the doctors available in their apps, which in turn can increase the purchase intention of the Halodoc apps.

References

Alfansi, L., Atmaja, F. T., & Saputra, F. E. (2022). The Impact of Service Orientation on Organizational Performance in Public Sectors: Empirical Evidence from Indonesia. The Journal of Asian Finance, Economics and Business, 9(5), 345–354.

Andersen, R. M. (1995). Revisiting the Behavioral Model and Access to Medical Care: Does it Matter? Journal of Health and Social Behavior, 36(1), 1–10. https://doi.org/10.2307/2137284

Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e‐commerce web site quality: an empirical examination. Industrial Management & Data Systems, 105(5), 645–661. https://doi.org/10.1108/02635570510600000

Chang, T.-Z., & Wildt, A. R. (1994). Price, Product Information, and Purchase Intention: An Empirical Study. Journal of the Academy of Marketing Science, 22(1), 16–27. https://doi.org/10.1177/0092070394221002

Das, S., Fahim, S. M., Islam, M. S., Biswas, T., Mahfuz, M., & Ahmed, T. (2019). Prevalence and sociodemographic determinants of household-level double burden of malnutrition in Bangladesh. Public Health Nutrition, 22(8), 1425–1432. https://doi.org/10.1017/S1368980018003580

Deng, Z., Liu, S., & Hinz, O. (2015). The health information seeking and usage behavior intention of Chinese consumers through mobile phones. Information Technology & People, 28(2), 405–423. https://doi.org/10.1108/ITP-03-2014-0053

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research (pp. 177–188).

Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.10008574

Jae, H., & Delvecchio, D. (2004). Decision Making by Low-Literacy Consumers in the Presence of Point-of-Purchase Information. Journal of Consumer Affairs, 38(2), 342–354. https://doi.org/10.1111/j.1745-6606.2004.tb00873.x

Johnson, Z. S., Lee, Y. J., & Ashoori, M. T. (2018). Brand associations: the value of ability versus social responsibility depends on consumer goals. Journal of Brand Management, 25(1), 27–37. https://doi.org/10.1057/s41262-017-0070-4

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001

Lending, D., & Chervany, N. L. (2002). CASE tool use and job design: a restrictiveness/flexibility explanation. Journal of Computer Information Systems, 43(1), 81–90.

Mannan, M., Ahamed, R., & Zaman, S. B. (2019). Consumers’ willingness to purchase online mental health services. Journal of Services Marketing, 33(5), 557–571. https://doi.org/10.1108/JSM-05-2018-0163

Maxwell, S. (2002). Rule-based price fairness and its effect on willingness to purchase. Journal of Economic Psychology, 23(2), 191–212. https://doi.org/10.1016/S0167-4870(02)00063-6

Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth Literacy Scale. Journal of Medical Internet Research, 8(4), 27–507. https://doi.org/10.2196/jmir.8.4.e27

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. john wiley & sons.

Teng, Y., Hanibuchi, T., & Nakaya, T. (2023). Correction: Does the Integration of Migrants in the Host Society Raise COVID-19 Vaccine Acceptance? Evidence From a Nationwide Survey in Japan. Journal of Immigrant and Minority Health, 25(2), 255–265. https://doi.org/10.1007/s10903-022-01419-4

Xue, J., Zhou, Z., Zhang, L., & Majeed, S. (2020). Do Brand Competence and Warmth Always Influence Purchase Intention? The Moderating Role of Gender. Frontiers in Psychology, 11, 248. https://doi.org/10.3389/fpsyg.2020.00248

Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.2307/1251446