Strategic leadership at high altitude: Investigating how AI affects the required skills of top managers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F25%3AN0000028" target="_blank" >RIV/04130081:_____/25:N0000028 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0148296325007015?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0148296325007015?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jbusres.2025.115878" target="_blank" >10.1016/j.jbusres.2025.115878</a>
Alternative languages
Result language
angličtina
Original language name
Strategic leadership at high altitude: Investigating how AI affects the required skills of top managers
Original language description
As artificial intelligence (AI) becomes a core driver of organizational digital transformation, several studies emphasize the critical role of top managers. While prior research has examined the skills at the top levels in digital contexts, few studies differentiate the implications of diverse AI technologies for the strategic leadership skills of top managers. Drawing on upper echelons theory (UET), we conducted 23 interviews with senior executives across diverse industries. Our findings identify four interdependent leadership skills: 1) AI open mindset; 2) AI strategic co-thinker; 3) Multi-level connector; 4) Ethics risk management. We propose a multi-level framework that captures the interactive nature of these skills, operating across personal, organizational, and relational dimensions and shaped by top-down and bottom-up dynamics. The study, grounded in UET, contributes to the emerging debate on how AI reshapes top managers' strategic leadership skills and introduces the enabling role of middle managers in AI transformation.
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
JOURNAL OF BUSINESS RESEARCH
ISSN
0148-2963
e-ISSN
1873-7978
Volume of the periodical
2055
Issue of the periodical within the volume
115878
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
1-18
UT code for WoS article
001634787200001
EID of the result in the Scopus database
2-s2.0-105029737579