Thesis Abstract

Abstract
Artificial Intelligence (AI) has emerged as a transformative technology that is reshaping various aspects of business operations, including decision-making processes in organizations. This thesis examines the impact of AI on decision-making within business organizations. The study begins with an exploration of the theoretical background of AI and its applications in the business context. It delves into the problem statement, objectives, limitations, scope, significance, and structure of the thesis in Chapter One. Chapter Two provides a comprehensive literature review that covers ten key areas related to AI, decision-making, and business organizations. This review synthesizes existing research and theoretical frameworks to build a foundation for the study. Chapter Three outlines the research methodology employed to investigate the impact of AI on decision-making in business organizations. This chapter includes discussions on research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and the research framework. In Chapter Four, the findings of the study are presented and discussed in detail. The analysis includes insights into how AI technologies influence decision-making processes, the benefits and challenges associated with AI adoption, and the implications for organizational performance and strategic decision-making. Finally, Chapter Five offers a conclusion and summary of the thesis, highlighting the key findings, implications for practice, limitations of the study, and recommendations for future research. The thesis contributes to the growing body of knowledge on the impact of AI on decision-making in business organizations and provides valuable insights for managers, policymakers, and researchers seeking to leverage AI technologies effectively in the modern business landscape.

Thesis Overview

Research Overview: "The Impact of Artificial Intelligence on Decision-Making in Business Organizations" Introduction: In recent years, the integration of artificial intelligence (AI) technologies in various industries has transformed the way organizations operate. The use of AI in decision-making processes has become increasingly prevalent, offering businesses new opportunities to enhance efficiency, productivity, and competitiveness. This research aims to explore the impact of AI on decision-making within business organizations, focusing on how AI technologies influence strategic decision-making processes and organizational performance. Background of Study: The rapid advancement of AI technologies, such as machine learning, natural language processing, and predictive analytics, has enabled businesses to analyze vast amounts of data, automate routine tasks, and generate valuable insights to support decision-making. As organizations strive to stay ahead in a highly competitive market environment, understanding the implications of AI on decision-making is crucial for sustainable growth and success. Problem Statement: Despite the potential benefits of AI in decision-making, there are challenges and concerns that organizations may face when implementing AI technologies. These challenges include issues related to data privacy, ethical considerations, workforce displacement, and the need for specialized skills to leverage AI effectively. Therefore, it is essential to investigate how organizations can navigate these challenges and harness the full potential of AI in decision-making processes. Objective of Study: The primary objective of this research is to examine the impact of AI on decision-making in business organizations. Specific objectives include: 1. To evaluate the benefits of AI technologies in enhancing decision-making processes. 2. To assess the challenges and limitations associated with the adoption of AI in decision-making. 3. To explore best practices and strategies for effectively integrating AI into decision-making processes. 4. To analyze the implications of AI on organizational performance, innovation, and competitive advantage. Limitation of Study: This research acknowledges that the implementation of AI technologies in decision-making is a complex and evolving field with inherent limitations and uncertainties. Limitations may include constraints in data availability, the dynamic nature of AI technologies, and the need for continuous adaptation to changing business environments. Scope of Study: This research focuses on the impact of AI on decision-making within business organizations across various industries. The study will examine case studies, theoretical frameworks, and empirical research to provide a comprehensive understanding of how AI influences decision-making processes and organizational outcomes. Significance of Study: By investigating the impact of AI on decision-making in business organizations, this research aims to contribute to the existing body of knowledge on AI technologies, decision science, and organizational behavior. The findings of this study can provide valuable insights for managers, policymakers, and researchers seeking to leverage AI effectively for strategic decision-making and organizational success. Structure of the Thesis: This thesis is structured into five chapters, each addressing specific aspects of the research topic. Chapter 1 provides an introduction to the research, including the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 presents a comprehensive literature review on the impact of AI on decision-making in business organizations. Chapter 3 outlines the research methodology, including research design, data collection methods, and analysis techniques. Chapter 4 discusses the findings of the study, highlighting key insights and implications. Finally, Chapter 5 presents the conclusion and summary of the research, drawing conclusions and offering recommendations for future research and practice.