SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY

This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. In light of the growing use of AI in decision-making, thi...

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Main Authors: Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva
Format: Article
Language:English
Published: Regional Association for Security and crisis management, Belgrade, Serbia 2025-03-01
Series:Operational Research in Engineering Sciences: Theory and Applications
Subjects:
Online Access:https://oresta.org/menu-script/index.php/oresta/article/view/824
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author Mohammed A. Al-Doghan
Shaxnoza Abdulhaeva
author_facet Mohammed A. Al-Doghan
Shaxnoza Abdulhaeva
author_sort Mohammed A. Al-Doghan
collection DOAJ
description This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. In light of the growing use of AI in decision-making, this study offers important insights into how managerial-level staff view and utilize AI for better organizational performance. A quantitative method was used, with Structural Equation Modeling (SEM) applied in ADANCO to examine data from 245 managerial staff (assistant managers, deputy managers, and corresponding administrative posts). Validated measurement scales of previous studies were utilized, and reliability and validity were guaranteed by thorough statistical checks. Findings validate that shared decision-making largely improves non-financial performance and that AI facilitates this positively. Security and privacy concerns, though, moderate the AI-performance nexus, suggesting data protection issues have the potential to affect AI success. Top management support also bolsters the connection between shared decision-making and performance, emphasizing leadership's pivotal function. The research contributes to decision-making, AI adoption, and organizational leadership research by merging the human, technological, and managerial elements into an integrated model, providing theoretical and empirical understandings for organizations that aim to achieve sustainable competitive advantage.
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spelling doaj-art-1b8c9db3fa614e64a8e8f01a0dbca7a62025-08-20T02:22:01ZengRegional Association for Security and crisis management, Belgrade, SerbiaOperational Research in Engineering Sciences: Theory and Applications2620-16072620-17472025-03-0181SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITYMohammed A. Al-Doghan0Shaxnoza Abdulhaeva1Department of Management, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia.Department of Taxation, Tashkent State University of Economics, Uzbekistan. This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. In light of the growing use of AI in decision-making, this study offers important insights into how managerial-level staff view and utilize AI for better organizational performance. A quantitative method was used, with Structural Equation Modeling (SEM) applied in ADANCO to examine data from 245 managerial staff (assistant managers, deputy managers, and corresponding administrative posts). Validated measurement scales of previous studies were utilized, and reliability and validity were guaranteed by thorough statistical checks. Findings validate that shared decision-making largely improves non-financial performance and that AI facilitates this positively. Security and privacy concerns, though, moderate the AI-performance nexus, suggesting data protection issues have the potential to affect AI success. Top management support also bolsters the connection between shared decision-making and performance, emphasizing leadership's pivotal function. The research contributes to decision-making, AI adoption, and organizational leadership research by merging the human, technological, and managerial elements into an integrated model, providing theoretical and empirical understandings for organizations that aim to achieve sustainable competitive advantage. https://oresta.org/menu-script/index.php/oresta/article/view/824Shared Decision-MakingAI AdoptionNon-Financial PerformanceSecurity and Privacy IssuesTop Management Support
spellingShingle Mohammed A. Al-Doghan
Shaxnoza Abdulhaeva
SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
Operational Research in Engineering Sciences: Theory and Applications
Shared Decision-Making
AI Adoption
Non-Financial Performance
Security and Privacy Issues
Top Management Support
title SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
title_full SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
title_fullStr SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
title_full_unstemmed SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
title_short SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY
title_sort shared decision making and ai role in non financial performance exploring moderating role of top management support and security
topic Shared Decision-Making
AI Adoption
Non-Financial Performance
Security and Privacy Issues
Top Management Support
url https://oresta.org/menu-script/index.php/oresta/article/view/824
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