Unleashing ChatGPT: Revolutionizing Business Strategies in Saudi Arabia’s Financial Landscape
DOI:
https://doi.org/10.62486/agma2025143Keywords:
ChatGPT, Business Strategies, Financial Markets, Artificial Intelligence, Fine Tuning, MetricsAbstract
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). While Metrics and Evaluation are not statistically significant on business strategies in the financial markets of Saudi Arabia (P>0.05).
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