Research on the Challenges and Optimization of Corporate Recruitment Process from the Perspective of Person-Job Fit

Abstract

This study focuses on optimizing corporate recruitment processes by addressing the low effectiveness of person-job fit in recruitment. It analyzes the challenges in corporate recruitment processes from four dimensions: fuzzy job demand analysis, inappropriate selection of recruitment channels, difficulties in quantifying recruitment standards, and insufficient execution in background checks. The aim is to develop a scientific approach to optimization strategies. Based on person-job fit theory, the study adopts a three-dimensional framework comprising 'Job Analysis - Background Verification - Comprehensive Assessment', integrating decision tree algorithms to quantify job element weights, a double-blind scoring mechanism, and a standardized onboarding tracking system to achieve process optimization. The findings indicate that the optimized recruitment process significantly enhances person-job fit accuracy. This research deepens the application of person-job fit theory in recruitment processes, providing corporations with actionable solutions, including background verification, job deconstruction, and behaviorally anchored assessment, while also laying a solid talent foundation for corporate development.