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Utilizing Artificial Intelligence in Recruitment and Selection Processes: Enhancing Efficiency and Effectiveness in Human Resource Management

 

Table Of Contents


Chapter ONE

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter TWO

: Literature Review 2.1 Overview of Human Resource Management
2.2 Recruitment and Selection Processes
2.3 Artificial Intelligence in HRM
2.4 Benefits of AI in Recruitment
2.5 Challenges of AI in HRM
2.6 Previous Studies on AI in HRM
2.7 Best Practices in AI-Driven Recruitment
2.8 Ethical Considerations in AI Recruitment
2.9 Future Trends in AI and HRM
2.10 Summary of Literature Review

Chapter THREE

: Research Methodology 3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Procedures
3.5 Research Instrumentation
3.6 Ethical Considerations
3.7 Validity and Reliability
3.8 Limitations of Research Methodology

Chapter FOUR

: Discussion of Findings 4.1 Overview of Data Analysis
4.2 Recruitment and Selection Efficiency with AI
4.3 Employee Perceptions of AI in HRM
4.4 Impact of AI on HRM Practices
4.5 Comparison of AI vs. Traditional Methods
4.6 Recommendations for Implementation
4.7 Implications for HR Professionals
4.8 Future Research Directions

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusions Drawn
5.3 Contribution to HRM Field
5.4 Practical Implications
5.5 Recommendations for Practitioners
5.6 Areas for Future Research

Thesis Abstract

Abstract
The integration of artificial intelligence (AI) in recruitment and selection processes has revolutionized the field of Human Resource Management (HRM) by enhancing efficiency and effectiveness. This thesis explores the implications of utilizing AI technologies to streamline recruitment and selection procedures, with a focus on improving decision-making processes and optimizing resource allocation within organizations. The study investigates the potential benefits and challenges associated with AI adoption in HRM, aiming to provide valuable insights for practitioners and scholars in the field. Chapter 1 introduces the research topic, providing a comprehensive overview of the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 presents a detailed literature review encompassing ten key themes related to AI in recruitment and selection processes, highlighting existing research, trends, and best practices in the field. Chapter 3 outlines the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations. Chapter 4 delves into a thorough discussion of the research findings, analyzing the impact of AI integration on recruitment and selection outcomes, organizational performance, employee experiences, and ethical considerations. The chapter presents a critical evaluation of the results, drawing insights from both theoretical frameworks and empirical evidence. Chapter 5 concludes the thesis by summarizing the key findings, discussing implications for practice and future research directions, and offering recommendations for organizations seeking to leverage AI in HRM processes. Overall, this thesis contributes to the growing body of knowledge on AI applications in HRM, shedding light on the transformative potential of AI technologies in enhancing recruitment and selection practices. By examining the benefits and challenges of AI adoption, this research offers valuable insights for HR professionals, managers, and policymakers looking to leverage technology for strategic HR decision-making. The findings of this study underscore the importance of embracing AI as a tool for organizational success and competitive advantage in the dynamic landscape of modern HRM practices.

Thesis Overview

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