Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27350/25:10259102

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Exploring the artificial intelligence integration in top management team decision-making: an empirical analysis

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

BUSINESS PROCESS MANAGEMENT JOURNAL

ISSN

1463-7154

e-ISSN

1758-4116

Svazek periodika

31

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

22

Strana od-do

1763-1784

Kód UT WoS článku

001473362300001

EID výsledku v databázi Scopus

2-s2.0-105003191834