IDEAS home Printed from https://ideas.repec.org/a/zib/zbmecj/v5y2021i1p20-28.html
   My bibliography  Save this article

Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia

Author

Listed:
  • Farah Alfanur

    (School of Technology Management, Ritsumeikan University, 2-150 Iwakura-cho, Ibaraki, Osaka 567-8570 Japan)

  • Yasuo Kadono

    (School of Technology Management, Ritsumeikan University, 2-150 Iwakura-cho, Ibaraki, Osaka 567-8570 Japan)

Abstract

E-commerce in Indonesia is currently growing as consumers make an increasing number of online purchases, making the competition fiercer between e-commerce business players in the country. Despite this growth, e-commerce in Indonesia faces challenges remaining to their development such as a gap in internet penetration between rural and urban areas. To win the competition among all e-commerce businesses and face the existing challenges, it is necessary to determine the best strategy to retain current consumers along with getting more and more consumers. Thus, this study aims to better understand the behavior of e-commerce consumers in Indonesia by developing a structural model of purchase intention and behavior based on an adaptation of the unified theory of acceptance and use of technology 2 (UTAUT2) model, with input from other relevant theories and interviews conducted in the country. Data from questionnaires completed by 400 e-commerce consumers are analyzed using covariance-based structural equational modeling (CB-SEM). The CB-SEM analysis finds that purchase intention is significantly influenced by these six factors: facilitating conditions, perceived website quality, security, convenience, economic reasons, and social influence. Furthermore, purchase intention significantly influences the purchase behavior of consumers. Conversely, three factors considered in the study are found not to significantly influence purchase intention: hedonic motivation, variety, and delivery factors. These results help e-commerce businesses to consider important factors when determining key factors influencing consumer purchase intentions and behavior.

Suggested Citation

  • Farah Alfanur & Yasuo Kadono, 2020. "Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(1), pages 20-28, December.
  • Handle: RePEc:zib:zbmecj:v:5:y:2021:i:1:p:20-28
    DOI: 10.26480/mecj.01.2021.20.28
    as

    Download full text from publisher

    File URL: https://myecommerecejournal.com/download/2262/
    Download Restriction: no

    File URL: https://libkey.io/10.26480/mecj.01.2021.20.28?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    4. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    5. Mr. Tidiane Kinda, 2019. "E-commerce as a Potential New Engine for Growth in Asia," IMF Working Papers 2019/135, International Monetary Fund.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Yasuo Kadono, 2015. "Management of Software Engineering Innovation in Japan," Springer Books, Springer, edition 1, number 978-4-431-55612-1, September.
    8. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    9. Yoon, Hyun Shik & Occeña, Luis G., 2015. "Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age," International Journal of Information Management, Elsevier, vol. 35(3), pages 352-363.
    10. Chaparro-Peláez, Julián & Agudo-Peregrina, Ángel F. & Pascual-Miguel, Félix J., 2016. "Conjoint analysis of drivers and inhibitors of e-commerce adoption," Journal of Business Research, Elsevier, vol. 69(4), pages 1277-1282.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    2. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    3. Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    4. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    5. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    6. Kuttimani Tamilmani & Nripendra P. Rana & Robin Nunkoo & Vishnupriya Raghavan & Yogesh K. Dwivedi, 2022. "Indian Travellers’ Adoption of Airbnb Platform," Information Systems Frontiers, Springer, vol. 24(1), pages 77-96, February.
    7. Türker, Cansu & Altay, Burak Can & Okumuş, Abdullah, 2022. "Understanding user acceptance of QR code mobile payment systems in Turkey: An extended TAM," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Hossain Md. Motaher & Zahidul Islam K. M. & Masud Abdullah Al & Biswas Sukanta & Hossain Md. Alamgir, 2021. "Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic," Management, Sciendo, vol. 25(2), pages 153-186, December.
    9. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    10. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    11. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    12. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    13. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    14. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    15. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    16. Jaeki Song & Fatemeh Mariam Zahedi, 2005. "A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model," Management Science, INFORMS, vol. 51(8), pages 1219-1235, August.
    17. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    18. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    19. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    20. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbmecj:v:5:y:2021:i:1:p:20-28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: http://myecommerecejournal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.