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Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

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  • Erjavec, Jure
  • Manfreda, Anton

Abstract

The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.

Suggested Citation

  • Erjavec, Jure & Manfreda, Anton, 2022. "Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s0969698921004331
    DOI: 10.1016/j.jretconser.2021.102867
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    1. Shareef, Mahmud Akhter & Dwivedi, Yogesh K. & Kumar, Vinod & Kumar, Uma, 2017. "Content design of advertisement for consumer exposure: Mobile marketing through short messaging service," International Journal of Information Management, Elsevier, vol. 37(4), pages 257-268.
    2. Pan, Shan L. & Cui, Miao & Qian, Jinfang, 2020. "Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China," International Journal of Information Management, Elsevier, vol. 54(C).
    3. Prentice, Catherine & Chen, Jinyan & Stantic, Bela, 2020. "Timed intervention in COVID-19 and panic buying," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    4. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    5. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    6. Sharma, Subhash & Mukherjee, Soumen & Kumar, Ajith & Dillon, William R., 2005. "A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models," Journal of Business Research, Elsevier, vol. 58(7), pages 935-943, July.
    7. 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.
    8. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    9. Yupeng Liu & Yutao Yang, 2018. "Empirical Examination of Users’ Adoption of the Sharing Economy in China Using an Expanded Technology Acceptance Model," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    10. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    11. Chang, Yu-Wei & Chen, Jiahe, 2021. "What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    12. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. De’, Rahul & Pandey, Neena & Pal, Abhipsa, 2020. "Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice," International Journal of Information Management, Elsevier, vol. 55(C).
    14. Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
    15. Xiao-Liang Shen & Kem Z.K. Zhang & Sesia J. Zhao, 2016. "Herd behavior in consumers’ adoption of online reviews," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(11), pages 2754-2765, November.
    16. Ruby Jain & Madhu Kulhar, 2019. "Barriers to online shopping," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 30(1), pages 31-50.
    17. Dyani Lewis, 2021. "Why indoor spaces are still prime COVID hotspots," Nature, Nature, vol. 592(7852), pages 22-25, April.
    18. Anu Antony & Ansted Iype Joseph, 2017. "Influence of Behavioural Factors Affecting Investment Decision—An AHP Analysis," Metamorphosis: A Journal of Management Research, , vol. 16(2), pages 107-114, December.
    19. Venkatesh, Viswanath, 2020. "Impacts of COVID-19: A research agenda to support people in their fight," International Journal of Information Management, Elsevier, vol. 55(C).
    20. Eger, Ludvík & Komárková, Lenka & Egerová, Dana & MiÄ Ã­k, Michal, 2021. "The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    21. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    22. Islam, Tahir & Pitafi, Abdul Hameed & Arya, Vikas & Wang, Ying & Akhtar, Naeem & Mubarik, Shujaat & Xiaobei, Liang, 2021. "Panic buying in the COVID-19 pandemic: A multi-country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    23. Natalie Pang & Stan Karanasios & Misita Anwar, 2020. "Exploring the Information Worlds of Older Persons During Disasters," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(6), pages 619-631, June.
    24. Leonardo Salvatore Alaimo & Mariantonietta Fiore & Antonino Galati, 2020. "How the Covid-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    25. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    26. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    27. Pantano, Eleonora & Pizzi, Gabriele & Scarpi, Daniele & Dennis, Charles, 2020. "Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak," Journal of Business Research, Elsevier, vol. 116(C), pages 209-213.
    28. Patil, Pushp & Tamilmani, Kuttimani & Rana, Nripendra P. & Raghavan, Vishnupriya, 2020. "Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal," International Journal of Information Management, Elsevier, vol. 54(C).
    29. Naeem, Muhammad & Ozuem, Wilson, 2021. "The role of social media in internet banking transition during COVID-19 pandemic: Using multiple methods and sources in qualitative research," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    30. Moslem Soofi & Farid Najafi & Behzad Karami-Matin, 2020. "Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 345-350, June.
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