Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F25%3AN0000013" target="_blank" >RIV/04130081:_____/25:N0000013 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27350/25:10259102
Result on the web
<a href="https://www.emerald.com/bpmj/article-abstract/31/5/1763/1252656/Exploring-the-artificial-intelligence-integration?redirectedFrom=fulltext" target="_blank" >https://www.emerald.com/bpmj/article-abstract/31/5/1763/1252656/Exploring-the-artificial-intelligence-integration?redirectedFrom=fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1108/BPMJ-07-2024-0659" target="_blank" >10.1108/BPMJ-07-2024-0659</a>
Alternative languages
Result language
angličtina
Original language name
Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis
Original language description
PurposeDrawing on upper echelons theory (UET), this study empirically explores how artificial intelligence (AI) has influenced the top management team's (TMT) decision-making process in business management.Design/methodology/approachThis article is based on 21 semi-structured interviews with top managers leading AI integration in their organizations. It adopts an inductive approach and applies the Gioia methodology.FindingsThe research identifies four primary areas of impact of AI for TMTs in managing digital business processes: (1) hybrid decision-making process, (2) AI's ethical implications, (3) TMT governance through AI, and (4) AI-driven competitive advantage. Also, a framework has been developed that provides an initial understanding of how integrating AI in organizations affects the TMT's decision-making process.Practical implicationsThe study provides practical insights for the TMT leveraging AI technologies to enhance decision-making in managing business processes. Additionally, it offers helpful guidance for organizations to stay at the forefront of innovation and adaptability in an ever-evolving world.Originality/valueOur findings highlight the critical role of TMT's decision-making in managing business processes transformed by AI. Moreover, the study extends the UET, highlighting how the integration of AI influences the TMT's decision-making process and how ethical implications impact these decisions and business management.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BUSINESS PROCESS MANAGEMENT JOURNAL
ISSN
1463-7154
e-ISSN
1758-4116
Volume of the periodical
31
Issue of the periodical within the volume
5
Country of publishing house
GB - UNITED KINGDOM
Number of pages
22
Pages from-to
1763-1784
UT code for WoS article
001473362300001
EID of the result in the Scopus database
2-s2.0-105003191834