Affiliations: [a] School of Business, IPB University, Bogor, Indonesia | [b] Department of Mathematics, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia | [c] Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University, Bogor, Indonesia
Correspondence:
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Address for correspondence: Bungaran Panggabean, School of Business, IPB University, Bogor, Indonesia. E-mail: [email protected]
Abstract: BACKGROUND:The global COVID-19 pandemic has forced people to obtain health products and services from home. Similar to other e-commerce, medicines are bought online and delivered using a courier service. OBJECTIVE:By being fully concerned to patient safety, this study aims to determine development strategies to increase intention in purchasing prescription drugs through e-pharmacy. METHODS:Two stages of measurement are employed in this study, namely confirmatory factor analyis using PLS-SEM and pairwise comparison using AHP method. To discover consumer perception in using e-pharmacy, the basic model of Theory of Planned Behavior (TPB) is employed with several extensions. RESULTS:The results of PLS-SEM express that Trust has a major role as an intervening variable to enhance the indirect effect of Subjective Norms and Perceived Values on Purchase Intention. In general, PLS-SEM structural model is declared “fit” (GFI = 0.93 ≥ 0.90; RMSEA = 0.045 ≤ 0.08; SRMR = 0.033 ≤ 0.05). Measurement model test proves that all selected indicators are valid to represent their related constructs (Loading Factor ≥ 0.50), and all selected constructs are reliable to build the whole path model (CR ≥ 0.7; AVE ≥ 05). Meanwhile, the results of AHP indicate that strengthening government policies and regulations is prioritized to increase consumer intention of purchasing prescription drugs through e-pharmacy, followed by protection of user confidential data in the second place. Those two eigenvectors are 0.236 and 0.185 respectively. CONCLUSION:Future research is suggested to add perceived risk as latent variable in the study of consumer behavior for any high-risk products.
Keywords: AHP, e-pharmacy, extended theory of planned behavior, PLS-SEM, prescription drugs
