Abstract
The advent of e-commerce has surged during the recent COVID-19 pandemic period. Already in 2019, many habits of users concerning online shopping platforms have changed: the age of those buying online has risen, the average income has fallen and the contagion has reached all urban and rural areas, even the smaller towns and villages. Since March 2020, when increased restrictions were applied, an increase in shopping of various kinds in several European and non-European countries is recorded. Many operators had to modify their logistics and change their interfaces. In short, the emergency has given a huge cultural boost to e-commerce. Tens of thousands of small retailers found themselves in the position of not being able to welcome consumers into their shops or being forced to create e-shops in a very short period of time and thus they identified home delivery as an opportunity not to be missed. Remote payment was the first, but not the only, effect. The present paper analyses the correlation between online shopping habits and socio-demographic characteristics in 27 European countries. The results were obtained from a descriptive statistical evaluation and the correlation between the variables was defined by the chi-square calculation. The results lay the foundations for the definition of the change in transport demand by home-purchase motivation and allow to define some considerations on the emission patterns that characterise transport demand.
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References
Horvath, P.: CompuServe (1996). https://doi.org/10.1007/978-3-663-07679-7_3. https://en.wikipedia.org/wiki/CompuServe
https://www.bigcommerce.com/articles/ecommerce/#ecommerce-timeline
Wymbs, C.: How e-commerce is transforming and internationalizing service industries. J. Serv. Market. 14, 463 (2000)
Vladimir, Z.: Electronic commerce: structures and issues. Int. J. Electron. Commer. 1(1), 3–23 (1996)
Introduction to PayPal. In: Pro PayPal E-Commerce (2007). Apress. https://doi.org/10.1007/978-1-4302-0353-7_1
Lin, M.: Alibaba and Tencent Continued (2021). https://doi.org/10.13140/RG.2.2.13096.70406
Schmuck, R., Benke, M.: An overview of innovation strategies and the case of Alibaba. Procedia Manuf. 51, 1259–1266 (2020). https://doi.org/10.1016/j.promfg.2020.10.176
Киш, Л.M.: Adaptation of b2c e-commerce to the conditions of the COVID-19 pandemic. East European Sci. J. 12(64), 4+14–19 (2020)
Maamar, Z.: Commerce, e-commerce, and m-commerce: what comes next? Commun. ACM 46(12), 251–257 (2003)
Niranjanamurthy, M., Kavyashree, N., Jagannath, S., Chahar, D.: Analysis of e-commerce and m-commerce: advantages, limitations and security issues. Int. J. Adv. Res. Comput. Commun. Eng. 2(6), 2360–2370 (2013)
Tran, H.: From E-Commerce to M-Commerce. J. Textile Sci. Fashion Technol. 6 (2020). https://doi.org/10.33552/JTSFT.2020.06.000630.
Fong, A., Hui, S.: From E‐Commerce to M‐Commerce (2014)https://doi.org/10.1002/9780470030851.ch8
Jelassi, T., Martínez-López, F.: Moving from Wired e-Commerce to Mobile e-Commerce and U-Commerce.In: Strategies for e-Business. Classroom Companion: Business. Springer, Cham (2020) https://doi.org/10.1007/978-3-030-48950-2_12
Austin, L., King, C.P., Christopher, N., Judith, B.: Measuring retail e-commerce sales (2021)
Sayyida, S., Hartini, S., Gunawan, S., Husin, S.: The Impact of the COVID-19 Pandemic on Retail Consumer Behavior. Aptisi Trans. Manage. (ATM) 5, 79–88 (2021). https://doi.org/10.33050/atm.v5i1.1497.
Aydoğan, S.: COVID-19 and E Commerce (2020)
Boyaci G., Cennet, I., Salam, C., Ooi Galanakis, C.: Transformation of the food sector: security and resilience during the COVID-19 pandemic. Foods 10, 497 (2021)https://doi.org/10.3390/foods10030497
Fernández R. (2020). https://www.statista.com/statistics/1115549/visited-pharmacy-websites-during-the-coronavirus-lockdown-in-spain-january-to-march/
Harrisson, B., Jean, P., Dahl, B.: COVID-19 & Ecommerce In: Canada - A Performance Index From 50 Online Stores (2020)
Tanna, J.: E-commerce growth In: International Market (2021)
Vulusi, K.: E-commerce Growth in India: a study and the potential of its future (2020)
Alfonso, V., Boar, C., Frost, J., Gambacorta, L., Liu, J.: “E-Commerce in the pandemic and beyond”, Report No 36 published by the Banks for International Settlements (2021). https://www.bis.org/publ/bisbull36.pdf
Impact of the Coronavirus on e-commerce, Survey Results Report, Ecommerce Europe (2021). https://www.ecommerce-europe.eu/wp-content/uploads/2021/01/Coronavirus-Survey-Report-January-2021.pdf
Hudda, N., Simon, M.C., Patton, A.P., Durant, J.L.: Reductions in traffic-related black carbon and ultrafine particle number concentrations in an urban neighborhood during the COVID-19 pandemic. Sci. Total Environ. 742, 140931 (2020)
Moslem, S., Campisi, T., Szmelter-Jarosz, A., Duleba, S., Nahiduzzaman, K.M., Tesoriere, G.: Best–worst method for modelling mobility choice after COVID-19: evidence from Italy. Sustainability 12(17), 6824 (2020)
Campisi, T., Basbas, S., Skoufas, A., Akgün, N., Ticali, D., Tesoriere, G.: The Impact of COVID-19 pandemic on the resilience of sustainable mobility in sicily. Sustainability 12(21), 8829 (2020)
Falchetta, G., Noussan, M.: The Impact of COVID-19 on Transport Demand, Modal Choices, and Sectoral Energy Consumption in Europe (2020)
Chinazzi, M., et al.: The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science 368(6489), 395–400 (2020)
Abdullah, M., Dias, C., Muley, D., Shahin, Md.: Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transp. Res. Interdiscip. Perspect. 8, 100255 (2020). ISSN 2590-1982https://doi.org/10.1016/j.trip.2020.100255
Drift, S., Wismans, L., Kalter, M.-J.: Changing mobility patterns in the Netherlands during COVID-19 outbreak. J. Loc. Based Serv. 1–24(2021) https://doi.org/10.1080/17489725.2021.1876259
Choi, W., Shim, E.: Optimal strategies for social distancing and testing to control COVID-19. J. Theor. Biol. 512, 110568 (2021). ISSN 0022-5193https://doi.org/10.1016/j.jtbi.2020.110568
Tirachini, A., Cats, O.: COVID-19 and public transportation: current assessment, prospects, and research needs. J. Public Transp. 22(1), 1 (2020)
Basbas, S.: The Impact of E-commerce on Transport. In: WIT Transactions on Information and Communication Technologies, vol. 36. WIT Press (2006). ISSN 1743-3517 (on-line)https://doi.org/10.2495/IS060331
https://ec.europa.eu/eurostat/statistics-explained/index.php?title=E-commerce_statistics
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Campisi, T., Russo, A., Tesoriere, G., Bouhouras, E., Basbas, S. (2021). COVID-19’s Effects over E-commerce: A Preliminary Statistical Assessment for Some European Countries. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_27
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