Use of Artificial Intelligence in Employee Performance Evaluation

Thesis Abstract

Abstract
The use of Artificial Intelligence (AI) in employee performance evaluation has gained significant attention in recent years, as organizations seek innovative ways to enhance their performance management processes. This thesis explores the application of AI technologies in evaluating employee performance and its impact on organizational outcomes. The study investigates the benefits, challenges, and implications of integrating AI into traditional performance evaluation systems, with a focus on improving objectivity, efficiency, and accuracy in assessing employee performance. Chapter One provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the foundation for understanding the significance of utilizing AI in employee performance evaluation and establishes the framework for the study. Chapter Two presents a comprehensive literature review on AI applications in performance management, covering ten key areas including the evolution of performance evaluation methods, the role of AI in enhancing objectivity, the impact on employee engagement and motivation, challenges associated with AI implementation, and best practices for integrating AI into performance evaluation processes. Chapter Three details the research methodology adopted in this study, encompassing various components such as research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the study. The chapter provides insights into the empirical approach used to investigate the use of AI in employee performance evaluation. Chapter Four presents a detailed discussion of the findings derived from the research, analyzing the effectiveness of AI technologies in enhancing employee performance evaluation practices. The chapter explores the implications of AI integration on performance appraisal accuracy, fairness, and overall organizational performance, highlighting key trends, challenges, and opportunities identified through the study. Chapter Five concludes the thesis by summarizing the key findings, implications, and recommendations for future research and practice. The chapter discusses the significance of leveraging AI in employee performance evaluation, identifies potential areas for further investigation, and offers practical insights for organizations looking to implement AI-driven performance management systems. In summary, this thesis contributes to the growing body of knowledge on the use of AI in employee performance evaluation, shedding light on the opportunities and challenges associated with adopting AI technologies in performance management processes. The research findings provide valuable insights for organizations seeking to enhance their performance evaluation practices through the integration of AI, ultimately driving improved organizational outcomes and employee performance.