Identifying non-adopters’ reason of using e-pharmacy in Indonesia from the benefit and perceived risk

##plugins.themes.academic_pro.article.main##

Aflianto Perdana Putra
Ira Christie Wisandha
Jetro Junaidi Manalu
Jimmie Sugiono
Yohanes loppies
Yuniarti Sidik

Abstract

The growth of e-commerce in Indonesia is very fast, also being triggered by Covid-19 outbreak has been creating new habits to fulfill life necessities, including the way to purchase medicine online on the right e-commerce platform or online pharmacy. Inline, the government has tightened its policies to regulate the sale of drugs online in order to protect the public. This research aims to identify non-adopter’s reason of using e-pharmacy in Indonesia, which actually as an access to deliver their need for getting right medicines in this era. Using quantitative method by asking 323 respondents living in around Jakarta, Bogor, Depok, Tangerang, and Bekasi. And based on theory of Technology Acceptance Model or TAM, this research will integrate further, what factors that make non-adopters’ decide to use e-pharmacy (positive factor), and what factors make non-adopters decide not to use e-pharmacy (negative factor). This research suggests that perceived usefulness, perceived ease of use, trustworthiness, social influence and health literacy have closed correlation with the non-adaptors’ decision for e-pharmacy adoption. However, perceived risk is found to not directly affect non-adaptors’ decision for e-pharmacy adaptation. This study has produced results of the indication of perceived ease of use, intelligence, trust, health literacy and social influence have a positive effect on non-adopters' reasons for using e-pharmacy. Meanwhile, perceived risk has a negative effect on non-adopters' confidence in using e-pharmacy. Then, perceived ease of use has a positive effect on perceived usefulness and trust in using e-pharmacy.

##plugins.themes.academic_pro.article.details##

How to Cite
Putra, A. P., Wisandha, I. C., Manalu, J. J., Sugiono, J., loppies, Y. and Sidik, Y. (2023) “Identifying non-adopters’ reason of using e-pharmacy in Indonesia from the benefit and perceived risk”, Science Midwifery, 11(1), pp. 92-101. doi: 10.35335/midwifery.v11i1.1156.

References

Chaurasia, V., Gupta, A., & Pal, S. (2011). The Modern Era: Online Pharmacy and Self Medication. Asian J. Pharm. Tech, 1(1), 4–8.
Crawford, S. Y. (2003). Internet pharmacy: issues of access, quality, costs, and regulation. Journal of Medical Systems, 27, 57–65.
Gefen, D. , K. E. , S. D. W. ,. (2003). Trust and TAM in online shopping: an integrated model. MIS Q. 27 (1), 51–90.
Hameed, M. A., Counsell, S., & Swift, S. (2012). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management, 29(3), 358–390.
Jain, V. H., Tadvi, S. A., & Pawar, S. P. (2017). A Review On The Pros And Cons Of Online Pharmacies. Journal of Applied Pharmaceutical Research, 5(1), 20–26.
Juwita, F. I., Widayati, A., & Istyastono, E. P. (2020). The Use Of Internet And Social Media For Drug Information Services In Pharmacies In Yogyakarta Province: A Study Of Asthma Care. Jurnal Farmasi Sains Dan Komunitas, 17(1), 59–68.
Lorensia, A., & Lamur, E. (2021). Pharmacists’ Perceptions of Online Pharmacy in the East Surabaya Area. Journal of Health and Medicine, 2(2), 95–100.
Ma, L. (2021). Understanding non-adopters’ intention to use internet pharmacy: Revisiting the roles of trustworthiness, perceived risk and consumer traits. Journal of Engineering and Technology Management, 59, 101613.
Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81–95.
Mou, J., Shin, D.-H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behaviour & Information Technology, 36(2), 125–139.
Nutbeam, D., & Kickbusch, I. (1998). Health promotion glossary. Health Promotion International, 13(4), 349–364.
Sabbir, M. M., Islam, M., & Das, S. (2021). Understanding the determinants of online pharmacy adoption: a two-staged SEM-neural network analysis approach. Journal of Science and Technology Policy Management, 12(4), 666–687.
Santos, E. O. (2021). Exploring The Factors That Influence The Adoption Of Online Pharmacy In Portugal: A Study On Consumer´S Acceptance And Pharmacist´S Perception. Faculdade De Economia, 1–39.
Singh, Dr. A. D. (2014). E-Pharmacy In India: Last Mile Access To Medicines.
Speros, C. (2005). “Health literacy: concept analysis”, Journal of Advanced Nursing, Vol. 50 No. 6, pp. 633-640, doi: 10.1111/j.1365-2648.2005.03448.
Suhirman, Hidayat, A. T., Saputra, W. A., & Saifullah, S. (2021). Website-Based E-Pharmacy Application Development to Improve Sales Services Using Waterfall Method. International Journal of Advances in Data and Information Systems, 2(2), 114–129.
Wu, W.-Y., & Ke, C.-C. (2015). An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance. Social Behavior and Personality: An International Journal, 43(1), 85–97.
Yang, Q., Pang, C., Liu, L., Yen, D. C., & Tarn, J. M. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation. Computers in Human Behavior, 50, 9–24.