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Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes

Suheil Neiroukh (Department of Business Management, Girne American University, Kyrenia, Turkey)
Okechukwu Lawrence Emeagwali (Faculty of Business and Economics, Centre for Management Research, Girne American University, Kyrenia, Turkey)
Hasan Yousef Aljuhmani (Faculty of Business and Economics, Center for Management Research, Girne American University, Kyrenia, Turkey)

Management Decision

ISSN: 0025-1747

Article publication date: 13 June 2024

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Abstract

Purpose

This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.

Design/methodology/approach

Drawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.

Findings

The results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.

Originality/value

This study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.

Keywords

Citation

Neiroukh, S., Emeagwali, O.L. and Aljuhmani, H.Y. (2024), "Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes", Management Decision, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MD-10-2023-1946

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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