Leveraging Artificial Intelligence to Enhance Leadership Decision-Making and Organizational Performance

Fadi Sakka

doi:10.15866/iremos.v16i6.24312

Leveraging Artificial Intelligence to Enhance Leadership Decision-Making and Organizational Performance

Fadi Sakka^(1*)

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iremos.v16i6.24312

Abstract

The present article examines the impact of Artificial Intelligence (AI) on leadership decision-making. The study delves into the significance of AI utilization and its positive influence on key facets of organizational success within scientific research centres. Employing Structural Equation Modeling (SEM) methodology facilitated by AMOS 20.0 software, this research enables the analysis of causal relationships among various variables within the presented model. Data were collected from 859 members of research and development departments of organizations using a stratified random sampling method. Employees across diverse organizations responded to questionnaires, providing their assessments on a range of inquiries. The study reveals that the deployment of AI in the organizational milieu exerts a substantial influence on organizational commitment and productivity. It is particularly noteworthy that AI application in leadership tasks significantly impacts organizational commitment, which, in turn, has a positive effect on workflow efficiency. Training and development of employees in the field of AI are also considered pivotal factors for enhancing their competencies and achieving organizational goals. These findings underscore that AI possesses not only technological but also strategic significance in enhancing organizational effectiveness and success.
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Keywords

Structural Equation Modeling; Organizational Success; Leadership Decision-Making; Organizational Commitment; Productivity

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