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ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF ELECTRONIC COMMERCE ENTERPRISES.

ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF ELECTRONIC COMMERCE ENTERPRISES.

Abstract

Introduction. E-commerce enterprises actively utilizeartificial intelligence in their management. Its applicationenables improvements in strategic and operational planning,reduces time and financial costs, enhances enterprise efficiency,ensures high-quality control, and facilitates the development ofmore comprehensive and accurate analytics. Given theimportance of enterprise management and the novelty ofartificial intelligence, there is a need for research on the role ofAI in the management of e-commerce enterprises.Purpose. The purpose of the article is to explore the role ofartificial intelligence in the management of e-commerceenterprises and to identify the main challenges of itsimplementation.Methods. In the course of the research, generalization,comparison, and systematic methods were used.Results. The article explores the role of artificialintelligence in the management of e-commerce enterprises. Itexamines the essence of the concept of artificial intelligence andits key aspects. It has been established that AI is mostcommonly used in marketing and sales management within ecommerceenterprises. The application of AI in the managementof e-commerce enterprises is analyzed in the context offunctional subsystems, specifically from the perspectives ofstrategic and operational management, human resourcemanagement, and marketing. It has been determined that the roleof AI in the strategic management of e-commerce enterpriseslies in facilitating the development of long-term strategies. Arange of modern AI-based tools used for human resourcemanagement in e-commerce enterprises is presented. The keychallenges of implementing AI in e-commerce enterprisemanagement are identified.Conclusion. The conducted analysis confirmed that AI is anessential tool in the management of e-commerce enterprises. Atthe same time, its successful implementation requiresconsidering challenges related to data security, ethical aspects,high integration costs, and technological dependence.Overcoming these barriers will contribute to the successfuldigital transformation of e-commerce enterprises and strengthentheir competitiveness.

У статті досліджено роль штучного інтелекту в управлінні підприємствами електронної комерції.Розглянуто сутність поняття штучний інтелект та його ключові аспекти. З’ясовано, що штучнийінтелект найчастіше використовується в управлінні маркетингом і продажами підприємствамиелектронної комерції. Проаналізовано використання штучного інтелекту в управлінні підприємствамиелектронної комерції в контексті функціональних підсистем, а саме з точки зору стратегічного тапоточного управління, управління персоналом та маркетингом. З'ясовано, що роль штучного інтелектув стратегічному управлінні підприємствами електронної комерції полягає у сприянні формуванню їхньоїдовгострокової стратегії. Наведено ряд сучасних інструментів, побудованих на основі штучногоінтелекту, які використовуються при управлінні персоналом підприємства електронної комерції.Визначено основні виклики впровадження штучного інтелекту в управлінні підприємствами електронноїкомерції.

Keywords

e-commerce, electronic commerce, e-commerce enterprises, management, e-commerce management, artificial intelligence, AI, artificial intelligence in e-commerce enterprises management, human resource management, marketing management, strategic management, operational management, електронна комерція, e-commerce, управління, підприємства електронної комерції, електронна торгівля, штучний інтелект, штучний інтелект в управлінні підприємствами, управління персоналом, управління маркетингом, стратегічне управління, поточне управління

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold