Conceptualizing Decision-Making Processes for Campus Placements through Machine Learning

Abstract

This study examines the conceptual framework of candidate selection in graduate university recruitment, focusing on the most important values ​​required for effective decision-making. It is builds on the conceptual foundation of previous research, extending the theoretical understanding of how universities search for and select candidates for career opportunities. The aim of the study is to provide insights into decision-making processes, identify key factors affecting candidate selection and their implications for recruitment effectiveness