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A humanistic model of corporate social responsibility in e-commerce with high-tech support in the artificial intelligence economy.
Zavyalova, Elena B; Volokhina, Vera A; Troyanskaya, Marija A; Dubova, Yulia I.
  • Zavyalova EB; Moscow, Russia Moscow State Institute of International Relations (MGIMO University).
  • Volokhina VA; Orenburg, Russia Orenburg State University.
  • Troyanskaya MA; Orenburg, Russia Orenburg State University.
  • Dubova YI; Volgograd, Russia Volgograd State Technical University.
Humanit Soc Sci Commun ; 10(1): 274, 2023.
Article in English | MEDLINE | ID: covidwho-20245217
ABSTRACT
This paper aims to develop a humanistic model of corporate social responsibility in e-commerce, relying on high technology in an artificial intelligence economy. The research is based on the experience of the top 30 publicly traded e-commerce companies, the 16 most responsible companies in the retail industry in the USA, and the leading global and Russian e-commerce business structures in 2020-2021. Based on econometric modeling, it is substantiated that the humanization (qualitative criterion) of jobs provides an increase in revenues of e-commerce businesses to a greater extent than an increase in the number (quantitative criterion) of jobs. The high technology of the artificial intelligence economy (AI economy) makes it possible to maximize the contribution of responsible HRM of the e-commerce business in increasing its revenues. For this purpose, a humanistic model of corporate social responsibility in e-commerce based on high technology in the AI economy has been developed. The theoretical significance lies in proving the need to humanize jobs in e-commerce and revealing the essence of this process. The practical significance lies in the fact that the developed humanistic model will increase the profitability and, consequently, the resilience of businesses to future economic crises that arise against the backdrop of the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Humanit Soc Sci Commun Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Humanit Soc Sci Commun Year: 2023 Document Type: Article