Open Access
Issue
E3S Web Conf.
Volume 317, 2021
The 6th International Conference on Energy, Environment, Epidemiology, and Information System (ICENIS 2021)
Article Number 05017
Number of page(s) 8
Section Information System Management and Environment
DOI https://doi.org/10.1051/e3sconf/202131705017
Published online 05 November 2021
  1. E. Anastasiadou, “The coronavirus ’ effects on consumer behavior and supermarket activities : insights from Greece and Sweden supermarkets,” (2020) [Google Scholar]
  2. X. Yang, “Potential consequences of COVID-19 for sustainable meat consumption: the role of food safety concerns and responsibility attributions,” Br. Food J., vol. 123, no. 2, pp. 455–474 (2020) [Google Scholar]
  3. J. A. Wolfson, Y. Ishikawa, C. Hosokawa, K. Janisch, J. Massa, and D. M. Eisenberg, “Gender differences in global estimates of cooking frequency prior to COVID-19,” Appetite, vol. 161, p. 105117 (2021) [Google Scholar]
  4. S. Laato, A. K. M. N. Islam, A. Farooq, and A. Dhir, “Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach,” J. Retail. Consum. Serv., vol. 57, no. July, p. 102224 (2020) [Google Scholar]
  5. R. Padhan and K. P. Prabheesh, “The economics of COVID-19 pandemic: A survey,” Econ. Anal. Policy, vol. 70, pp. 220–237 (2021) [Google Scholar]
  6. H. Guo, Y. Liu, X. Shi, and K. Z. Chen, “The role of e-commerce in the urban food system under COVID-19 : lessons from China system,” (2020) [Google Scholar]
  7. L. Eger, L. Komárková, D. Egerová, and M. Mičík, “The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective,” J. Retail. Consum. Serv., vol. 61, no. March (2021) [Google Scholar]
  8. I. Ajzen, “The theory of planned behavior,” J. Stud. Alcohol Drugs, vol. 72, no. 2, pp. 322–32 (2011) [Google Scholar]
  9. I. Ajzen, “Attides, Personallity and Behavior,” International Journal of Strategic Innovative Marketing, vol. 3. p. 117 (2005) [Google Scholar]
  10. Y. Yang, H. Liu, and X. Chen, “COVID-19 and restaurant demand: early effects of the pandemic and stay-at-home orders,” Int. J. Contemp. Hosp. Manag., vol. 13, no. 12, pp. 3809–3834 (2020) [Google Scholar]
  11. Dima Faour-Klingbeila, T. M. Osaili, A. A. Al-Nabulsi, M. Jemni, and E. C. Todd, “An online survey of the behavioral changes in Lebanon, Jordan and Tunisia during the COVID-19 pandemic related to food shopping, food handling, and hygienic practices,” Food Control, vol. 125 (2021) [Google Scholar]
  12. M. R. Limon, “Food safety practices of food handlers at home engaged in online food businesses during COVID-19 pandemic in the Philippines,” Curr. Res. Food Sci., vol. 4, no. October 2020, pp. 63–73 (2021) [Google Scholar]
  13. D. I. Hawkin and D. Mothersbough, Consumer Behavior. New York: Mc Graw Hill (2014) [Google Scholar]
  14. R. D. Cooper and S. P. Schindler, Business Research Methods, 12th ed. New York: Mc Graw Hill, (2014) [Google Scholar]
  15. S. Kushwaha, P. Khanna, V. Rajagopal, and T. Kiran, “Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis Abstract,” Clin. Epidemiol. Glob. Heal. (2021) [Google Scholar]
  16. R. Sharma, A. Dhir, S. Talwar, and P. Kaur, “Over-ordering and food waste : The use of food delivery apps during a pandemic,” Int. J. Hosp. Manag., vol. 96, no. April, p. 102977 (2021) [Google Scholar]
  17. E. A. Al-Nawafleh, G. A. A. Al-Sheikh, A. A. Abdullah, and A. M. bin A. Tambi, “Review of the impact of service quality and subjective norms in TAM among telecommunication customers in Jordan,” Int. J. Ethics Syst., vol. 35, no. 1, pp. 148–158 (2019) [Google Scholar]
  18. S. Weerasinghe and M. C. B. Hindagolla, “Technology acceptance model and social network sites (SNS): a selected review of literature,” Glob. Knowledge, Mem. Commun., vol. 67, no. 3, pp. 142–153 (2018) [Google Scholar]
  19. A. Brandon-Jones and K. Kauppi, “Examining the antecedents of the technology acceptance model within e-procurement,” Int. J. Oper. Prod. Manag., vol. 38, no. 1, pp. 22–42 (2018) [Google Scholar]
  20. R. Cai and X. Y. Leung, “Mindset matters in purchasing online food deliveries during the pandemic: The application of construal level and regulatory focus theories,” Int. J. Hosp. Manag., vol. 91, no. August, p. 102677 (2020) [Google Scholar]
  21. J. Minibas-Poussard, H. B. Bingol, and C. Roland-Levy, “Behavioral control or income? An analysis of saving attitudes and behavior, credit card use and buying on installment,” Rev. Eur. Psychol. Appl., vol. 68, no. 6, pp. 205–214 (2018) [Google Scholar]
  22. S. Sahney, K. Ghosh, and A. Shrivastava, “‘Buyer’s motivation’ for online buying: An empirical case of railway e-ticketing in Indian context,” J. Asia Bus. Stud., vol. 8, no. 1, pp. 43–64 (2013) [Google Scholar]

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