Factors affecting customers intention towards online pharmacies in Indonesian market

Ferawaty Ferawaty, Wakky Antonio, Adilla Anggraeni
{"title":"Factors affecting customers intention towards online pharmacies in Indonesian market","authors":"Ferawaty Ferawaty, Wakky Antonio, Adilla Anggraeni","doi":"10.11591/ijict.v13i1.pp91-100","DOIUrl":null,"url":null,"abstract":"Online pharmacies are a promising business model for promoting online sales of medicines. The purpose of this study is to investigate how technology acceptance model (TAM) variables (perceived ease of use and perceived usefulness), perceived trust, perceived performance risk, and perceived physical risk influence customers' intention to use online pharmacy. A questionnaire survey was used to collect data for the planned study. The results showed that perception of trust is a critical factor influencing costomers intention to use an online pharmacy. The reluctance of customers to buy medicines, categorized as risk, through online pharmacies which was originally thought to be a determining factor, has no impact if customer trust in online pharmacy has been formed. This study has several relevances for advancing online pharmacy promotion including the importances of user-friendly and benefits provided by online pharmacies provider. It is very important how online pharmacies providers can increase customers trust in terms of legality, quality and security of personal data.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Informatics and Communication Technology (IJ-ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijict.v13i1.pp91-100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Online pharmacies are a promising business model for promoting online sales of medicines. The purpose of this study is to investigate how technology acceptance model (TAM) variables (perceived ease of use and perceived usefulness), perceived trust, perceived performance risk, and perceived physical risk influence customers' intention to use online pharmacy. A questionnaire survey was used to collect data for the planned study. The results showed that perception of trust is a critical factor influencing costomers intention to use an online pharmacy. The reluctance of customers to buy medicines, categorized as risk, through online pharmacies which was originally thought to be a determining factor, has no impact if customer trust in online pharmacy has been formed. This study has several relevances for advancing online pharmacy promotion including the importances of user-friendly and benefits provided by online pharmacies provider. It is very important how online pharmacies providers can increase customers trust in terms of legality, quality and security of personal data.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
影响印尼市场顾客对网上药店消费意向的因素
网上药店是促进药品在线销售的一种前景广阔的商业模式。本研究旨在探讨技术接受模型(TAM)变量(感知易用性和感知有用性)、感知信任、感知绩效风险和感知物理风险如何影响顾客使用网上药店的意愿。本研究采用问卷调查的方式收集数据。结果显示,信任感是影响顾客使用网上药店意愿的关键因素。顾客不愿通过网上药店购买被归类为风险的药品,原本被认为是一个决定性因素,但如果顾客对网上药店形成了信任,那么这一因素就不会产生影响。这项研究对促进网上药店的推广有多方面的意义,包括网上药店提供商提供的用户友好和好处的重要性。网上药店提供商如何在合法性、质量和个人数据安全方面提高客户信任度非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Review-based analysis of clustering approaches in a recommendation system Adaptive resource allocation in NOMA-enabled backscatter communications systems Navigating the cyber forensics landscape a review of recent innovations ChatGPT's effect on the job market: how automation affects employment in sectors using ChatGPT for customer service Predicting anomalies in computer networks using autoencoder-based representation learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1