Central European Management Journal

Generative artificial intelligence as a new context for management theories: analysis of ChatGPT

Korzynski, Pawel Mazurek, Grzegorz Altmann, Andreas Ejdys, Joanna Kazlauskaite, Ruta Paliszkiewicz, Joanna Wach, Krzysztof Ziemba, Ewa

Kozminski University | The Entrepreneurial School®, Innsbruck | Bialystok University of Technology | ISM University of Management and Economics, Kaunas | Warsaw University of Life Sciences SGGW | Cracow University of Economics | University of Economics in Katowice

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Abstract

Purpose: The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts.

Design/methodology/approach: The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption.

Findings: The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels.

Research limitations/implications: This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies.

Originality/value: The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.

Metadata

Journal Central European Management Journal 
Volume 31 
Issue 1 
Issue date 5/2023 
Type Article 
Language en
Pagination 3-11
DOI 10.1108/CEMJ-02-2023-0091
ISSN 2658-0845
eISSN 2658-2430