Analyzing the Impact of Artificial Intelligence on Organizational Decision-Making Processes in the Retail Industry

Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on organizational decision-making processes within the retail industry. With the rapid advancement of technology, AI has become increasingly integrated into various business functions, including decision-making. The retail sector, in particular, has witnessed a significant transformation due to the adoption of AI technologies. This study aims to provide a comprehensive analysis of how AI influences decision-making processes in retail organizations and the implications for business operations and performance. The research begins with an exploration of the theoretical background of AI and its applications in business contexts, focusing on decision-making processes. The study identifies the key challenges and opportunities associated with the integration of AI in retail decision-making and reviews relevant literature to understand the current state of research in this area. The research methodology section outlines the approach taken to investigate the impact of AI on decision-making processes, including data collection methods and analysis techniques. The findings of the study reveal the various ways in which AI technologies are reshaping decision-making processes in the retail industry. From enhancing data analysis and forecasting capabilities to enabling personalized customer experiences and optimizing supply chain management, AI offers retail organizations new opportunities to improve operational efficiency and customer satisfaction. However, the study also identifies several challenges, such as data privacy concerns, ethical implications, and the need for upskilling the workforce to leverage AI technologies effectively. The discussion of findings delves into the implications of the research results for retail organizations, highlighting the potential benefits and risks of adopting AI in decision-making processes. The study concludes with a summary of key findings and recommendations for retail organizations looking to leverage AI to enhance their decision-making capabilities and stay competitive in the evolving business landscape. Overall, this thesis contributes to the existing body of knowledge on the impact of AI on organizational decision-making processes in the retail industry and provides valuable insights for researchers, practitioners, and policymakers seeking to understand the implications of AI adoption in retail organizations.