Chapter ІІ. AI analytics of behavioral biases in economic analysis of consumers and enterprises

- Базецька, Ганна (orcid.org/0000-0002-5034-8959) (2026) Chapter ІІ. AI analytics of behavioral biases in economic analysis of consumers and enterprises Project Report. ФОП Ямчинський О.В., м. Київ, Україна.

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Abstract

The paper explores the possibilities of integrating artificial intelligence (AI) tools into economic analysis, taking into account behavioral biases of consumers and enterprises. It reveals the essence of key types of behavioral biases and their impact on economic decision-making. The relevance of using modern AI tools – such as machine learning algorithms, neural networks, natural language processing methods, and clustering – for detecting behavioral patterns and improving the accuracy of analytical conclusions is substantiated. A classification of biases, comparative effectiveness of AI algorithms for their identification, and practical implementation examples in enterprise activities are presented. The advantages and potential risks of using intelligent technologies, including ethical aspects, are outlined. The research results confirm the effectiveness of a comprehensive approach to analyzing economic behavior using AI in order to improve the quality of managerial decisions.

Item Type:	Monograph (Project Report)
Additional Information:	Базецька Г. Розділ ІІ. AI-Аналітика поведінкових упереджень у економічному аналізі споживачів та підприємств / Штучний інтелект в економіці : монографія / [авт. колектив]; за ред. Осадчого Вячеслава та Пінчук Ольги. – Київ: ФОП Ямчинський О.В. 2026. – С. 21-35. ISBN 978-617-8877-52-1 Bazetska H. Chapter ІІ. AI analytics of behavioral biases in economic analysis of consumers and enterprises / Artificial Intelligence in Economics : Monograph / [Collective of authors]; edited by Osadchyi Viacheslav and Pinchuk Olha – Kyiv : Sole Proprietor Yamchynskyi O.V., 2026. – p. 21-35. ISBN 978-617-8877-52-1
Keywords:	artificial intelligence, economic analysis, behavioral biases, machine learning, decision-making, consumer behavior, intelligent technologies
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 33 Economics. Economic science
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	д.пед.н. Анна Яцишин
Date Deposited:	01 Nov 2026 21:30
Last Modified:	01 Nov 2026 21:30
URI:	https://lib.iitta.gov.ua/id/eprint/750311

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