INTEGRATION OF ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL LEADERSHIP

The integration of Artificial Intelligence (AI) into organizational leadership is an increasingly pertinent area of exploration, as the digital age drives sweeping changes in decision-making processes across various sectors. This study endeavors to critically examine the transformative potential of AI-powered leadership, focusing on how AI can enhance the efficacy of executive decision-making. The identified key challenges that organizations face during the operationalization of AI technologies within leadership roles. It also assessed the broader impact of AI on traditional leadership models and organizational culture. A mixed-methods approach was employed, combining quantitative data from a comprehensive survey of executive leaders across diverse industries with qualitative insights gathered through in-depth interviews. The survey results revealed a pronounced enthusiasm for AI's capacity to increase efficiency and improve decision quality; however, it also uncovered significant barriers, including resistance to change, ethical dilemmas, and a pervasive skills gap that may hinder successful implementation. Furthermore, a nuanced analysis indicated that while A structured questionnaire was administered to 120 executives across sectors such as finance, education, healthcare, and technology. The questionnaire used a 5-point Likert scale to measure agreement with statements on AI use in ideation, planning, implementation, and ethical concerns. Data were manually organized into percentage response categories and visualized through a simple bar chart. This study, therefore contributed to the existing body of knowledge by offering valuable insights and practical recommendations for organizations striving to successfully navigate the complexities of AI adoption in leadership. Ultimately, by elucidating the multifaceted interactions between AI technologies and executive decision-making, this research serves as a foundational reference point for future inquiries and strategic implementations in the realm of AI-powered leadership. Keywords: Artificial Intelligence, Leadership, Decision-Making, Innovation, Dynamic Capabilities, Toe Framework, Digital Transformation

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-01
DOI
https://doi.org/10.5281/zenodo.16948347
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

INTEGRATION OF ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL LEADERSHIP

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

INTEGRATION OF ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL LEADERSHIP

article en

Abstract

The integration of Artificial Intelligence (AI) into organizational leadership is an increasingly pertinent area of exploration, as the digital age drives sweeping changes in decision-making processes across various sectors. This study endeavors to critically examine the transformative potential of AI-powered leadership, focusing on how AI can enhance the efficacy of executive decision-making. The identified key challenges that organizations face during the operationalization of AI technologies within leadership roles. It also assessed the broader impact of AI on traditional leadership models and organizational culture. A mixed-methods approach was employed, combining quantitative data from a comprehensive survey of executive leaders across diverse industries with qualitative insights gathered through in-depth interviews. The survey results revealed a pronounced enthusiasm for AI's capacity to increase efficiency and improve decision quality; however, it also uncovered significant barriers, including resistance to change, ethical dilemmas, and a pervasive skills gap that may hinder successful implementation. Furthermore, a nuanced analysis indicated that while A structured questionnaire was administered to 120 executives across sectors such as finance, education, healthcare, and technology. The questionnaire used a 5-point Likert scale to measure agreement with statements on AI use in ideation, planning, implementation, and ethical concerns. Data were manually organized into percentage response categories and visualized through a simple bar chart. This study, therefore contributed to the existing body of knowledge by offering valuable insights and practical recommendations for organizations striving to successfully navigate the complexities of AI adoption in leadership. Ultimately, by elucidating the multifaceted interactions between AI technologies and executive decision-making, this research serves as a foundational reference point for future inquiries and strategic implementations in the realm of AI-powered leadership. Keywords: Artificial Intelligence, Leadership, Decision-Making, Innovation, Dynamic Capabilities, Toe Framework, Digital Transformation

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 64%
Geochemistry and Geologic Mapping
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INTEGRATION OF ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL LEADERSHIP · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS