Title: The mediating impact of decision-making in the relationship between artificial intelligence and crisis management in private banks in Yemen

Authors: Abdolkareem K. Alsyaghi; Samah M. Al-Hayasi; Akram M. Alarshani; Mohammad A. Al-Shaibani

Addresses: Faculty of Commerce and Economics, Sana'a University, Yemen ' The Ministry of Education, Yemen ' Center of Business Administration, Sana'a University, Yemen ' The Ministry of Education, Yemen

Abstract: The article aimed to identify the mediating impact of decision-making (quality, effectiveness, and acceptance) in the relationship between artificial intelligence (users, systems, and devices) and crisis management (signal detection, preparation/prevention, preparation/damage limitation, recovery, and learning) in private banks in Yemen. A quantitative approach was employed, and the questionnaires served as the primary tool for data collection. Data were analysed using appropriate statistical methods within the SPSS v26 software, and structural equation modelling (SEM) was applied using AMOS v26. The article concluded that the quantitative model achieved a goodness of fit index (very good), demonstrating the indirect relationship between artificial intelligence and crisis management mediated partially by decision-making. The research adds to the corpus of knowledge about decision-making, crisis management, and artificial intelligence. It also offers insights into how decision-makers might use AI to adopt effective crisis management techniques.

Keywords: decision-making; artificial intelligence; crisis management; Yemen.

DOI: 10.1504/MEJM.2026.150442

Middle East Journal of Management, 2026 Vol.13 No.1, pp.1 - 20

Received: 17 Jan 2024
Accepted: 25 Sep 2024
Published online: 14 Dec 2025 *

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