Using Artificial Intelligence in Qatar’s Brokerage Firms Opportunities and Challenges
Abstract
This study investigates the use of artificial intelligence (AI) in Qatar's brokerage firms (QBFs) and its potential to enhance investment decision-making in the securities market. Dynamic capabilities theory was used as the theoretical framework, focusing on how companies change, maintain, and build competitive advantage. The main contributions of this study include identifying the organizational prerequisites essential for successful AI deployment and assessing AI's potential in rationalizing investment choices. The study faced limitations such as relying solely on qualitative methods and focusing on a specific sector and country. The key results indicate that while AI has the potential to improve decision-making, QBFs are still in the early stages of adoption due to lack of dynamic capabilities.
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