From traditional to technological: integrating AI tools into leadership development programs

Purpose The purpose of this paper is to develop a framework that integrates AI tools with leadership theories to create personalized and adaptive leadership development programs (LDP), addressing the challenges and opportunities in leadership training. Design/methodology/approach Artificial intelligence (AI) refers to the use of machine learning, natural language processing and data-driven analytics to enhance decision-making and leadership development. This study adopts a conceptual review approach, synthesizing existing leadership theories and AI applications to construct the AI-LDP framework. Additionally, case study analyses of AI-driven leadership programs, such as those implemented by IBM and Google, provide practical insights into how AI enhances leadership training. Findings The AI–LDP framework enhances personalized learning, adaptability and real-time feedback in leadership development. It highlights both the positive impacts of AI on leadership effectiveness and the challenges, such as ethical concerns and data privacy. Research limitations/implications This study is based on a conceptual review, and the AI-LDP framework has not been empirically tested. Further research is needed to validate the framework in diverse organizational settings and industries. Practical implications Organizations can use the AI–LDP framework to design more personalized and adaptive leadership development programs, improving leadership effectiveness and employee engagement through AI-driven tools. Social implications By integrating AI into leadership development, organizations can promote more inclusive and transparent decision-making, potentially fostering a more ethical and equitable workplace culture. Originality/value This research offers a novel AI-based framework for leadership development, combining AI technology with classical leadership theories. It provides valuable insights for organizations looking to improve leadership development in dynamic environments.

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Institutions

Publication Details

Journal
Leadership & Organization Development Journal
Published
2025-04-30
DOI
https://doi.org/10.1108/lodj-12-2024-0810
Citations
6
Primary Topic
Human Resource Development and Performance Evaluation
Type
article
Field-Weighted Citation Impact
9.26
Controls
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article

From traditional to technological: integrating AI tools into leadership development programs

Zhisheng Chen
6 citations
Leadership & Organization Development Journal
Human Resource Development and Performance Evaluation
9.26
article

From traditional to technological: integrating AI tools into leadership development programs

Zhisheng Chen
article en
6 citations

Abstract

Purpose The purpose of this paper is to develop a framework that integrates AI tools with leadership theories to create personalized and adaptive leadership development programs (LDP), addressing the challenges and opportunities in leadership training. Design/methodology/approach Artificial intelligence (AI) refers to the use of machine learning, natural language processing and data-driven analytics to enhance decision-making and leadership development. This study adopts a conceptual review approach, synthesizing existing leadership theories and AI applications to construct the AI-LDP framework. Additionally, case study analyses of AI-driven leadership programs, such as those implemented by IBM and Google, provide practical insights into how AI enhances leadership training. Findings The AI–LDP framework enhances personalized learning, adaptability and real-time feedback in leadership development. It highlights both the positive impacts of AI on leadership effectiveness and the challenges, such as ethical concerns and data privacy. Research limitations/implications This study is based on a conceptual review, and the AI-LDP framework has not been empirically tested. Further research is needed to validate the framework in diverse organizational settings and industries. Practical implications Organizations can use the AI–LDP framework to design more personalized and adaptive leadership development programs, improving leadership effectiveness and employee engagement through AI-driven tools. Social implications By integrating AI into leadership development, organizations can promote more inclusive and transparent decision-making, potentially fostering a more ethical and equitable workplace culture. Originality/value This research offers a novel AI-based framework for leadership development, combining AI technology with classical leadership theories. It provides valuable insights for organizations looking to improve leadership development in dynamic environments.

Leadership & Organization Development JournalVol. 46(4)
Wuxi Taihu Hospital (CN)
Openalex Percentile: Top 2%
Human Resource Development and Performance Evaluation
9.26
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