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Predictors of the Likelihood of Continuous Usage of Online Shopping Post-COVID-19

Author

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  • Nina Angelovska

    (University of Skopje – Faculty of Economics, Skopje, North Macedonia)

  • Julijana Angelovska

    (University of Skopje – Faculty of Economics, Skopje, North Macedonia)

Abstract

Government’s response to the COVID-19 outbreak resulting in imposed socialdistancing measures, lockdowns and closing of economies triggered the acceleration of e-commerce growth globally. Driven by necessity consumers shifted from traditional to online shopping, but the main question of interest to practitioners and researchers is: Will this changed behaviour last post-COVID-19? We aim in this study to respond and contribute to the insufficient understanding of the factors that can predict the likelihood of continuous usage of online shopping post-COVID-19. To achieve this goal, we use survey data from 2.082 respondents, collected in North Macedonia during the period of social distancing measures (November 2020). We explore the associated predictors of the likelihood of online shopping continuity behaviour post-COVID-19, employing binary logit regression. We found that age, data protection and conventional motives are not significant predictors while gender, employment status, online shopping frequency, online shopping experience, payment security and commencement of online triggered by COVID-19 showed as statistically significant predictors of the likelihood of continuous online shopping post-COVID-19.

Suggested Citation

  • Nina Angelovska & Julijana Angelovska, 2024. "Predictors of the Likelihood of Continuous Usage of Online Shopping Post-COVID-19," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 846-876, December.
    • Handle: RePEc:nwe:eajour:y:2024:i:4:p:846-876
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    References listed on IDEAS

    as
    1. Yu Ding & Huapu Lu, 2017. "The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary," Transportation, Springer, vol. 44(2), pages 311-324, March.
    2. Van Kien Pham & Thu Ha Do Thi & Thu Hoai Ha Le, 2020. "A study on the COVID-19 awareness affecting the consumer perceived benefits of online shopping in Vietnam," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1846882-184, January.
    3. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    4. Hjorthol, Randi & Gripsrud, Mattias, 2009. "Home as a communication hub: the domestic use of ICT," Journal of Transport Geography, Elsevier, vol. 17(2), pages 115-123.
    5. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    6. Andrew N. Mason & John Narcum & Kevin Mason, 2021. "Social media marketing gains importance after Covid-19," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1870797-187, January.
    7. Garbarino, Ellen & Strahilevitz, Michal, 2004. "Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation," Journal of Business Research, Elsevier, vol. 57(7), pages 768-775, July.
    8. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.
    9. Prasanta Kr. Chopdar & V. J. Sivakumar, 2019. "Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(1), pages 42-64, January.
    10. Hamood Mohammed Al-Hattami, 2021. "Determinants of intention to continue usage of online shopping under a pandemic: COVID-19," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1936368-193, January.
    11. Mohammad Anisur Rahman & Md. Aminul Islam & Bushra Humyra Esha & Nahida Sultana & Sujan Chakravorty, 2018. "Consumer buying behavior towards online shopping: An empirical study on Dhaka city, Bangladesh," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1514940-151, January.
    12. Wan-Rung Lin & Yi-Hsien Wang & Yi-Min Hung, 2020. "Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-25, February.
    13. Jozef Bucko & Lukáš Kakalejčík & Martina Ferencová, 2018. "Online shopping: Factors that affect consumer purchasing behaviour," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1535751-153, January.
    14. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    15. Juan Ramón López Soler & Panayotis Christidis & José Manuel Vassallo, 2021. "Teleworking and Online Shopping: Socio-Economic Factors Affecting Their Impact on Transport Demand," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    16. Susanne Feichtinger & Manfred Gronalt, 2021. "The Environmental Impact of Transport Activities for Online and In-Store Shopping: A Systematic Literature Review to Identify Relevant Factors for Quantitative Assessments," Sustainability, MDPI, vol. 13(5), pages 1-23, March.
    17. Bill Doolin & Stuart Dillon & Fiona Thompson & James L. Corner, 2005. "Perceived Risk, the Internet Shopping Experience and Online Purchasing Behavior: A New Zealand Perspective," Journal of Global Information Management (JGIM), IGI Global, vol. 13(2), pages 66-88, April.
    18. Eastlick, Mary Ann & Lotz, Sherry L. & Warrington, Patricia, 2006. "Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment," Journal of Business Research, Elsevier, vol. 59(8), pages 877-886, August.
    19. Close, Angeline G. & Kukar-Kinney, Monika, 2010. "Beyond buying: Motivations behind consumers' online shopping cart use," Journal of Business Research, Elsevier, vol. 63(9-10), pages 986-992, September.
    20. Barnes, Stuart J., 2020. "Information management research and practice in the post-COVID-19 world," International Journal of Information Management, Elsevier, vol. 55(C).
    21. Ganesh, Jaishankar & Reynolds, Kristy E. & Luckett, Michael & Pomirleanu, Nadia, 2010. "Online Shopper Motivations, and e-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies," Journal of Retailing, Elsevier, vol. 86(1), pages 106-115.
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    More about this item

    Keywords

    developing countries; e-commerce; Pandemic Crisis; binary logit regression; North Macedonia;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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