Unleashing ChatGPT: Revolutionizing Business Strategies in Saudi Arabia’s Financial Landscape

Hashem Ali Almashaqbeh

Management (Montevideo), 2025, vol. 3, 143

Abstract: Introduction: ChatGPT in Saudi Arabia’s financial sector revolutionizes business strategies, enhancing innovation, streamlining decision-making, and empowering organizations to thrive in a competitive, rapidly evolving economic landscape with Artificial Intelligence AI-driven insights. Objective: The main objective of this study is to determine the interplay between training data bias, AI model fine-tuning, metrics, assessment methodologies, and AI usage in the financial markets of Saudi Arabia. Methods: Participants are from banking industry of Saudi Arabia. The data gathered from Jeddah, Riyadh, Makkah, and Madina region of Saudi Arabia. The data collected through a online survey via questionnaires. The research used a random sampling procedure, selecting a sample size of 323 participants. This research chose reliability analysis, factor analysis, correlation analysis and regression analysis. Results: The reliability analysis shows that the constructs are highly consistent with one another. Regression shows that ChatGPT, Training Data & Bias, and Metrics and Evaluation have a positive significant effect on business strategies in the financial markets of Saudi Arabia (P 0.05).

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:manage:v:3:y:2025:i::p:143:id:1062486agma2025143

DOI: 10.62486/agma2025143

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