THE MEDIATING IMPACT OF ARTIFICIAL INTELLIGENCE IN THE RELATIONSHIP BETWEEN DECISION-MAKING AND CRISIS MANAGEMENT IN PRIVATE BANKS IN YEMEN
This article aimed to identify the mediating impact of artificial intelligence (User- Systems- Devices) in the relationship between decision-making (Quality- Effectiveness- Acceptance) and crisis management (Signal detection- Preparation/prevention- Containment/Damage limitation- Recovery- Learning) in private banks in Yemen. To achieve the objectives of the article, a quantitative approach was employed, utilizing both descriptive and analytical methods. The study population consisted of leaders from private banks in Yemen, specifically those in their main branches in the capital, Sana'a, holding the following administrative positions: General Manager, Assistant General Manager, Sector Manager, and Department Manager. Due to the small size of the study community, the comprehensive survey method was employed, and questionnaires served as the primary tool for data collection. A total of 239 questionnaires were distributed, and 219 valid questionnaires (92% response rate) were collected for analysis. Data were analyzed using appropriate statistical methods within the SPSS v26 software, and structural equation modeling (SEM) was applied using Amos v26. The article concluded the quantitative model achieved a Goodness of Fit Indices (very good) demonstrating the indirect relationship between decision making and crisis management mediated partially by artificial intelligence. The article presented a number of recommendations including the following: Paying attention to decision-making by considering its dimensions (Quality- Effectiveness- Acceptance), with particular emphasis on the quality of decision. Furthermore, giving importance to artificial intelligence due to its significant role in shaping the future and its potential impact on the development and advancement of banks. This is crucial considering the influence of artificial intelligence on all administrative operations and functions, especially given the diverse and numerous crises faced by banks in the unstable Yemeni environment.
Artificial Intelligence, Decision Making, Crisis Management, Yemen.