research-article

A study on consumer acceptance of online pharmacies in China

Authors:

Zhilin QiaoAuthors Info & Claims

ICEC '16: Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World

Article No.: 13, Pages 1 - 8

https://doi.org/10.1145/2971603.2971616

Published: 17 August 2016 Publication History

Abstract

This paper aims to examine the consumer acceptance of online pharmacies and to find out the different drivers of online medicine purchase intention. Based on the unified theory of acceptance and use of technology (UTAUT) model this paper includes five explanatory constructs. Data from consumers (n=274) questionnaires were collected in China, and were tested against the proposed research model. The results show that performance expectancy, social influence, perceived trust and perceived risk have directly significant influences on consumers' adoption intention of online medicine purchase, effort expectancy has positive influence on performance expectancy, and perceived trust has significant negative influence on perceived risk. Suggestions are made concerning how to develop online pharmacies and future research directions are discussed.

References

[1]

Ajzen, I., and Fishbein, M. "The Prediction of Behavior from Attitudinal and Normative Variables", Journal of Experimental Social Psychology, Vol. 6, No. 4: 466--487, 1970.

[2]

Catalán, J. "Internet medicine sales and the need for homogeneous regulation", International Journal of Medical Marketing, Vol. 4, No. 4: 342--349, 2004.

[3]

Veer, A. J. ED., Peeters, J. M., Brabers, A. E., Schellevis, F. G., Rademakers, J. J. J., and Francke, A. L. "Determinants of the intention to use e-Health by community dwelling older people", Bmc Health Services Research, Vol. 15, No. 103:1--9, 2015.

[4]

Featherman, M. S., and Pavlou, P. A. "Predicting e-services adoption: a perceived risk facets perspective", International Journal of Human-Computer Studies, Vol. 59, No. 4: 451--474, 2003.

Digital Library

[5]

Ha, I., Yoon, Y., and Choi, M. "Determinants of adoption of mobile games under mobile broadband wireless access environment", Information & Management, Vol. 44, No. 3: 276--286, 2007.

Digital Library

[6]

He, A. Z., and Li, Y. "The Empirical Research on the Influence of Store Image on Private Brand Trust and Purchase Intention", Nankai Business Review, Vol. 13, No. 2: 79--89, 2010.

[7]

Inciardi, J. A., Surratt, H. L., Cicero, T. J., and et al. "Prescription drugs purchased through the internet: Who are the end users?", Drug & Alcohol Dependence, Vol. 110, No. 1-2:21--29, 2010.

[8]

Jaradat, M. I. R. M., Rababaa, M. S. A. "Assessing Key Factor that Influence on the Acceptance of Mobile Commerce Based on Modified UTAUT", International Journal of Business & Management, Vol. 8, No. 23: 102--112, 2013.

[9]

Kijsanayotin, B., Pannarunothai, S., and Speedie, S. M. "Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model", International Journal of Medical Informatics, Vol. 78, No. 6):404--416, 2009.

[10]

Kim, D. J., Ferrin, D. L., and Rao, H. R. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration", Information Systems Research, Vol. 20, No. 2:237--257, 2009.

Digital Library

[11]

Koufaris, M., Hampton-Sosa, W. "The development of initial trust in an online company by new customers", Information & Management, Vol. 41, No. 3:377--397, 2004.

Digital Library

[12]

Lackana, L. Factors influencing online purchase intention: the case of health food consumers in Thailand, Australia: University of Southern Queensland, 2004.

[13]

Lee, J. H., and Song, C. H. "Effects of trust and perceived risk on user acceptance of a new technology service", Social Behavior & Personality An International Journal, Vol. 41, No. 4: 587--597, 2013.

[14]

Levaggi, R., Orizio, G., Domenighini S., et al. "Marketing and pricing strategies of online pharmacies", Health Policy, Vol. 92, No. 2-3: 187--196, 2009.

[15]

Li, D., Browne, G. J., and Wetherbe, J. C. "Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective", International Journal of Electronic Commerce, Vol. 10, No. 4: 105--141, 2006.

Digital Library

[16]

Luarn, P., Lin, H. H. "Toward an Understanding of the Behavioral Intention to Use Mobile Banking", Computers in Human Behavior, Vol. 21, No. 6: 873--891, 2005.

[17]

Mäkinen, M. M., Rautava, P. T., and Forsström, J. J. "Do online pharmacies fit European internal markets?", Health Policy, Vol. 72, No. 2: 245--252, 2005.

[18]

Mcleod, A., Pippin, S., and Mason, R. "Individual Taxpayer Intention to Use Tax Preparation Software: Examining Experience, Trust, and Perceived Risk", Journal of Information Science & Technology, Vol. 6, No. 1:25--44, 2009.

[19]

Min, Q., Shaobo, J. I., and Gang, Q. U. "Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model", Tsinghua Science & Technology, Vol. 13, No. 3:257--264, 2008.

[20]

Mullet, E. "The Probability + Utility Rule in Attractiveness Judgments of Positive Gambles", Organizational Behavior and Human Decision Processes, Vol. 52, No. 2: 246--255, 1992.

[21]

Phatthana, W., and Nik, M. N. K. "The Application of Technology Acceptance Model (TAM) on health tourism e-purchase intention predictors in Thailand", International Conference on Business and Economics Research, Vol. 1:196--199, 2010.

[22]

Schaupp, L. C., Carter, L., and Mcbride, M. E. "E-file adoption: A study of U.S. taxpayers' intentions", Computers in Human Behavior, Vol. 26, No. 4:636--644, 2010.

Digital Library

[23]

Shin, D. H. "Towards an understanding of the consumer acceptance of mobile wallet", Computers in Human Behavior, Vol. 25, No. 6:1343--1354, 2009.

Digital Library

[24]

Skolnick, A. A. "WHO considers regulating ads, sale of medical products on Internet", Jama the Journal of the American Medical Association, Vol. 278, No. 21: 1723--1724, 1997.

[25]

Sonja, B. R. T. J. R. "What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire". Journal of Medical Internet Research, Vol. 16, No. 6:e148--e148, 2014.

[26]

Spain, J. W., Siegel, C. F., and Ramsey, R. P. "Selling drugs online: distribution-related legal/regulatory issues", International Marketing Review, vol. 18, No. 4: 432--449, 2001.

[27]

Su, L., Huang, W., and Leung, J. "Development and management of online pharmacies in China", Journal of Medical Marketing, Vol. 11, No. 3: 197--203, 2011.

[28]

Sun, Y., Wang, N., Guo, X., and Peng, Z. "Understanding the Acceptance of Mobile Health Services: A Comparison and Integration of Alternative Models", Journal of Electronic Commerce Research, Vol. 14, No. 2: 183--200, 2013.

[29]

Venkatesh, V., Davis, F. D. "User Acceptance of Information Technology: Toward A Unified View", Mis Quarterly, Vol. 27, No. 3: 425--478, 2003.

Digital Library

[30]

Willkins, S. T. and Navarro, F. H. "Has the web really empowered health care consumers?", Marketing Health Services, Vol. 21, No. 3:5--9, 2001.

[31]

Fang, X., Chan, S., Brzezinski, J., et al. "Moderating Effects of Task Type on Wireless Technology Acceptance", Journal of Management Information Systems, Vol. 22, No. 3: 123--158, 2005.

Digital Library

[32]

Yang, K., and Forney, J. C. "The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences", Journal of Electronic Commerce Research, Vol. 14, No. 4: 334--347, 2013.

[33]

Yuan, S., Ma, W., Kanthawala, S., et al. "Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model", Telemedicine and e-Health, Vol. 21, No. 9: 735--741, 2015.

[34]

Yu, C. S. "Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the UTAUT Model", Journal of Electronic Commerce Research, Vol. 13, No. 2:104--121, 2012.

[35]

Zhou, T. "Examining Location-Based Services Usage from the Perspectives of Unified Theory of Acceptance and Use of Technology and Privacy Risk", Journal of Electronic Commerce Research, Vol. 13, No. 2: 135--144, 2012.

Cited By

Ahalawat KTiwari R(2024)A Bibliometric Analysis of the Use of Technology for the Marketing of Online Pharmacies2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT62777.2024.00069(384-389)Online publication date: 19-Apr-2024
https://doi.org/10.1109/CCICT62777.2024.00069
Adebo AAladelusi KMohammed M(2024)Determinants of e-pharmacy adoption and the mediating role of social influence among young usersJournal of Humanities and Applied Social Sciences10.1108/JHASS-12-2023-0164Online publication date: 12-Mar-2024
https://doi.org/10.1108/JHASS-12-2023-0164
Apte ABright HKadam SSundarsanam TChandy S(2023)Implementation of E-pharmacy in India – Facilitators, barriers, and its potential impact on cost, quality, and access to medicines: A scoping review (Preprint)Online Journal of Public Health Informatics10.2196/51080Online publication date: 22-Jul-2023
https://doi.org/10.2196/51080
Show More Cited By

Index Terms

A study on consumer acceptance of online pharmacies in China
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Electronic commerce
        Online shopping

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cover image ACM Other conferences

ICEC '16: Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World

August 2016

311 pages

ISBN:9781450342223

DOI:10.1145/2971603

Conference Chairs:
Toru Ishida
Kyoto Univ., Japan
,
Norman Sadeh
CMU
,
Jae Kyu Lee
KAIST, Korea
,
Federico Casalegno
MIT
,
Wooju Kim
Yonsei Univ., Korea
,
Program Chairs:
Sohyeong Kim
Stanford Univ.
,
Sung-Byung Yang
Kyung Hee Univ., Korea

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

BigBang Angels: BigBang Angels
Benple: Benple
Women's News Inc.: Women's News Inc.
FKII: The Federation of Korean Infomation Industries
Korea Internet Corporations Association: Korea Internet Corporations Association
KOFST: Korean Federation of Science and Technology Societies
NIA: National Information Society Agency, Republic of Korea
HAREX: HAREX InfoTech Inc.
Haitai: Haitai Confectionery & Foods Co., Ltd.
KTO: Korea Tourism Organization
G-MICE Bureau: Gyeonggi MICE Bureau
IT Daily: ITMG Corp.
Suwon City: Suwon City
ALLWIN: ALLWIN
DIPA: Digital Industry Promotion Agency of Yongin City
Tech M: Moneytoday Network Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2016

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ICEC '16

Sponsor:

BigBang Angels
Benple
Women's News Inc.
FKII
Korea Internet Corporations Association
KOFST
NIA
HAREX
Haitai
KTO
G-MICE Bureau
IT Daily
Suwon City
ALLWIN
DIPA
Tech M

ICEC '16: International Conference on Electronic Commerce 2016

August 17 - 19, 2016

Suwon, Republic of Korea

Acceptance Rates

ICEC '16 Paper Acceptance Rate 44 of 55 submissions, 80%;

Overall Acceptance Rate 150 of 244 submissions, 61%

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Cited By

Ahalawat KTiwari R(2024)A Bibliometric Analysis of the Use of Technology for the Marketing of Online Pharmacies2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT62777.2024.00069(384-389)Online publication date: 19-Apr-2024
https://doi.org/10.1109/CCICT62777.2024.00069
Adebo AAladelusi KMohammed M(2024)Determinants of e-pharmacy adoption and the mediating role of social influence among young usersJournal of Humanities and Applied Social Sciences10.1108/JHASS-12-2023-0164Online publication date: 12-Mar-2024
https://doi.org/10.1108/JHASS-12-2023-0164
Apte ABright HKadam SSundarsanam TChandy S(2023)Implementation of E-pharmacy in India – Facilitators, barriers, and its potential impact on cost, quality, and access to medicines: A scoping review (Preprint)Online Journal of Public Health Informatics10.2196/51080Online publication date: 22-Jul-2023
https://doi.org/10.2196/51080
Ersöz SNissen ASchütte R(2023)Risk, Trust, and Emotion in Online Pharmacy Medication Purchases: a Multimethod Approach incorporating Customer Self-reports, Facial Expressions, and Neural Activations (Preprint)JMIR Formative Research10.2196/48850Online publication date: 9-May-2023
https://doi.org/10.2196/48850
AlSideiri ACob ZDrus S(2023)Understanding the Determinants of Adoption of Healthcare Information TechnologyComputational Intelligence in Data Science10.1007/978-3-031-38296-3_14(178-189)Online publication date: 22-Jul-2023
https://doi.org/10.1007/978-3-031-38296-3_14
AlSideiri ABinti Che Cob ZBte Mohd Drus S(2022)Factors Influencing the Adaption of Online Pharmacy in Oman: Pilot Study2022 International Electronics Symposium (IES)10.1109/IES55876.2022.9888628(691-697)Online publication date: 9-Aug-2022
https://doi.org/10.1109/IES55876.2022.9888628
Gani MRahman MFaroque ASabit AFattah F(2022)Understanding the determinants of ePharmacy services: the moderating effect of technology discomfortThe Bottom Line10.1108/BL-03-2022-004535:2/3(90-114)Online publication date: 28-Jun-2022
https://doi.org/10.1108/BL-03-2022-0045
Shukar SZahoor FHayat KSaeed AGillani AOmer SHu SBabar ZFang YYang C(2021)Drug Shortage: Causes, Impact, and Mitigation StrategiesFrontiers in Pharmacology10.3389/fphar.2021.69342612Online publication date: 9-Jul-2021
https://doi.org/10.3389/fphar.2021.693426
Sabbir MIslam MDas S(2020)Understanding the determinants of online pharmacy adoption: a two-staged SEM-neural network analysis approachJournal of Science and Technology Policy Management10.1108/JSTPM-07-2020-0108ahead-of-print:ahead-of-printOnline publication date: 18-Nov-2020
https://doi.org/10.1108/JSTPM-07-2020-0108
Putri AShihab MBudi N(2018)The Role of Risk and Quality in Establishing Perceived Value Affecting the Intention to Book a Tour Package Through an Open Trip Marketplace Site2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS)10.1109/ICACSIS.2018.8618259(75-80)Online publication date: Oct-2018
https://doi.org/10.1109/ICACSIS.2018.8618259

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