Thesis Abstract

Abstract
The rapid advancement of artificial intelligence (AI) technology has brought about transformative changes in various industries, including accounting. This thesis investigates the impact of AI on financial statement analysis within the accounting industry. The study aims to explore how AI tools and techniques are revolutionizing the way financial data is analyzed, interpreted, and utilized by accounting professionals. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The chapter sets the foundation for the subsequent chapters by outlining the importance of understanding the implications of AI on financial statement analysis. Chapter Two consists of a comprehensive literature review that delves into existing research, theories, and best practices related to AI, financial statement analysis, and their intersection in the accounting field. This chapter critically examines the current state of knowledge in the area and identifies gaps that the present study aims to address. Chapter Three focuses on the research methodology employed in this study. It covers aspects such as research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter provides a detailed explanation of how the research was conducted to achieve the study objectives effectively. In Chapter Four, the findings of the research are discussed in-depth. Through the analysis of data collected and insights gained from the study, this chapter presents the impact of AI on financial statement analysis in the accounting industry. The discussion highlights the opportunities, challenges, and implications of incorporating AI tools into traditional accounting practices. Chapter Five serves as the conclusion and summary of the thesis. It consolidates the key findings, discusses their implications, and offers recommendations for future research and practice in the field. The chapter concludes by emphasizing the significance of understanding and adapting to the evolving landscape of AI in financial statement analysis within the accounting industry. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on financial statement analysis in the accounting industry. By exploring the opportunities and challenges presented by AI technology, the study offers valuable insights for accounting professionals, researchers, and policymakers navigating the era of digital transformation in accounting practices.

Thesis Overview