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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Bayesian Data Analysis on E-commerce Trends during COVID-19 Pandemic

Luca Rossi, Marco Valeri, Rodolfo Baggio

http://dx.doi.org/10.6007/IJARBSS/v12-i5/12970

Open access

The aim of this paper is to examine the marked trend of consumers to make online purchases during the Covid-19 pandemic in Italy, highlighting if consumer habits have changed. Various aspects of human lifestyle and world society have been dramatically modified both for the present and for a long time to come. A crucial role in these changes has been played by the growth of digitalization and the intensified implementation of formerly forecasted trends that the information management literature has been discussing for a long time.
To analyze the acknowledgement of new information as the outcome of the process of consumers’ attribution, our work makes use of Bayesian data analysis theorem. The survey was carried out by distributing a questionnaire to 2282 persons (916 women and 1366 men) having an average age of 34 years (?=10) and resident in Italy.
The analysis allowed us to ascertain the propensity of consumers towards online purchases during the lockdown (March-May 2020), but above all, to highlight how e-commerce has become a common practice in the population. Furthermore, the responses enabled us to establish whether online traders are upgrading the standard of their shopping websites.

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In-Text Citation: (Rossi et al., 2022)
To Cite this Article: Rossi, L., Valeri, M., & Baggio, R. (2022). Bayesian Data Analysis on E-commerce Trends during COVID-19 PANDEMIC. International Journal of Academic Research in Business and Social Sciences, 12(5), 1187 – 1205.