Publikacja:

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

Data

2023
Artykuł
Przeszukaj czasopismo Uproszczony widok Pełne metadane Statystyki
 
cris.legacyid7190
cris.virtual.journalance#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.journalancedc92c553-0411-4522-97d5-b7ef33169392
dc.abstract.plPurpose: 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.
dc.contributor.affiliationKozminski University
dc.contributor.affiliationKozminski University
dc.contributor.affiliationThe Entrepreneurial School®, Innsbruck
dc.contributor.affiliationBialystok University of Technology
dc.contributor.affiliationISM University of Management and Economics, Kaunas
dc.contributor.affiliationWarsaw University of Life Sciences SGGW
dc.contributor.affiliationCracow University of Economics
dc.contributor.affiliationUniversity of Economics in Katowice
dc.contributor.authorPawel Korzynski
dc.contributor.authorGrzegorz Mazurek
dc.contributor.authorAndreas Altmann
dc.contributor.authorJoanna Ejdys
dc.contributor.authorRuta Kazlauskaite
dc.contributor.authorJoanna Paliszkiewicz
dc.contributor.authorKrzysztof Wach
dc.contributor.authorEwa Ziemba
dc.date.accessioned2025-07-25T16:03:26Z
dc.date.available2025-07-25T16:03:26Z
dc.date.issued2023
dc.date.published5/2023
dc.description.issue1
dc.description.physical3-11
dc.description.volume31
dc.identifier.doi10.1108/CEMJ-02-2023-0091
dc.identifier.issn2658-0845
dc.identifier.urihttps://repozytorium.kozminski.edu.pl/handle/item/1721
dc.languageen
dc.relation.ispartofCentral European Management Journal
dc.relation.pages3-11
dc.rightsCC-BY-4.0
dc.subjectGenerative AI
dc.subjectChatGPT
dc.subjectManagement theories
dc.subjectdecision-making
dc.subjectknowledge management
dc.subjectCustomer service
dc.subjectHuman resource management
dc.subjectBusiness administration
dc.subtypeOriginal
dc.title

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

dc.typeArticle
dspace.entity.typePublication