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

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

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          Most cited references57

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          Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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            User Acceptance of Information Technology: Toward a Unified View

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              Understanding Information Systems Continuance: An Expectation-Confirmation Model

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                Author and article information

                Journal
                Central European Management Journal
                CEMJ
                Emerald
                2658-2430
                2658-0845
                March 28 2023
                May 30 2023
                March 28 2023
                May 30 2023
                : 31
                : 1
                : 3-13
                Article
                10.1108/CEMJ-02-2023-0091
                04815d78-0fca-4e5e-8f47-767fee8fac1d
                © 2023

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