Project Abstract

Abstract
This research study explores the impact of artificial intelligence (AI) on recruitment and selection processes in the field of Human Resource Management (HRM). The integration of AI technologies in HRM has significantly transformed traditional recruitment and selection practices, leading to both opportunities and challenges for organizations. This study aims to provide a comprehensive analysis of how AI is influencing the recruitment and selection processes, and to identify the implications for HRM professionals and job seekers. The research methodology involves a mixed-methods approach, incorporating both qualitative and quantitative data collection techniques. Primary data will be gathered through interviews with HRM professionals and job applicants, as well as surveys distributed to organizations utilizing AI in their recruitment processes. Secondary data will be collected from academic journals, industry reports, and case studies to provide a broader context for the study. Chapter One introduces the research topic, provides the background of the study, outlines the problem statement, objectives, limitations, scope, significance, structure, and definitions of key terms. Chapter Two presents a comprehensive literature review on the impact of AI on recruitment and selection processes, covering topics such as AI technology, recruitment trends, selection methods, and ethical considerations. Chapter Three details the research methodology, including research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. This chapter also discusses the limitations and potential biases of the research methodology. Chapter Four presents the findings of the study, highlighting the key insights obtained from the data analysis. The chapter discusses how AI is being used in recruitment and selection processes, the benefits and challenges associated with AI adoption, and the implications for HRM professionals and job seekers. Chapter Five concludes the research study by summarizing the key findings, discussing the implications for practice and future research directions. The chapter also provides recommendations for organizations looking to implement AI in their recruitment and selection processes and suggests ways to address potential ethical concerns. Overall, this research study contributes to the growing body of knowledge on the impact of AI on HRM practices, offering practical insights for HRM professionals, organizations, and job seekers navigating the evolving landscape of recruitment and selection processes in the digital age.

Project Overview