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

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

Author(s): Paweł Korzyński, Grzegorz Mazurek, Andreas Altmann, Joanna Ejdys, Rūta Kazlauskaitė, Joanna Paliszkiewicz, Krzysztof Wach, Ewa Ziemba
Subject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Akademia Leona Koźmińskiego
Keywords: Generative AI; ChatGPT; Management theories; Decision-making; Knowledge management; Customer service; Human resource management; Business administration;

Summary/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.

  • Issue Year: 31/2023
  • Issue No: 1
  • Page Range: 3-13
  • Page Count: 11
  • Language: English