The Impact of Digital Platforms on Effective and Efficient Recruitment Practices in Organisations

Abstract

The integration of digital platforms in recruitment processes has become a cornerstone for modern organizations seeking to streamline their hiring practices. This dissertation investigates the ways in which digital platforms enable effective and efficient recruitment strategies within organizations. It examines how these platforms enhance candidate sourcing, screening, and selection processes while addressing challenges such as bias mitigation and candidate experience improvement. Through a synthesis of literature, case studies, and empirical research, this study explores the impact of digital platforms on recruitment outcomes and organizational performance. Additionally, it evaluates the role of emerging technologies, such as artificial intelligence and machine learning, in optimizing recruitment processes. By analyzing current trends and best practices, this dissertation offers valuable insights for organizations aiming to leverage digital platforms for recruitment success.