| dc.description.abstract | This thesis explores the role of Generative Artificial Intelligence (GAI) in financial institutions using Media Discourse Analysis (MDA), identifying drivers and barriers, and envisioning future developments. With the surge of GAI technology, driven largely by advancements in machine learning and data processing capabilities, the financial sector is experiencing a transformative journey. This study uses valence theory to explore the interplay between the perceived benefits and risks associated with GAI adoption in a financial context.
Despite the surge in interest in GAI within financial institutions, there are notable gaps in the existing literature that need urgent attention. Firstly, GAI usage in finance is a new and emerging phenomenon, with a limited number of comprehensive studies. A more thorough examination is needed of the specific drivers and barriers that have emerged during the research. Moreover, the literature lacks a forward-looking perspective on the future development necessary for successful GAI integration. It is crucial to address these gaps to develop a nuanced understanding of GAI's role in finance and to guide policymakers, industry leaders, and researchers in navigating the complexities of this transformative technology.
The MDA revealed that the primary drivers for GAI adoption are value creation, boosting innovation, enhanced customer experience, and security and regulatory compliance enhancements. The barriers are revealed to be risk, negative employee impact, implementation challenges, and ethics and regulatory challenges. Future developments that could potentially moderate the tension between these two dimensions were found to be roadmap, governance initiatives, and technology-based advancements.
This approach provides researchers and practitioners with a comprehensive overview of the dynamics involved in adopting GAI technologies for financial institutions. Additionally, the research offers practical insights for stakeholders, including policymakers, financial executives, and technology developers, by advocating for proactive governance and strategic planning.
The findings suggest that media representation plays an important role in shaping public and organizational perspectives on GAI, which in turn influences policy and corporate strategies. The study advocates for a proactive approach to governance and strategic planning to harness GAI's benefits while effectively mitigating its risks. | |
