Competency-Based Recruitment Models for Enhancing Workforce Quality

Authors

  • Ayesha Siddiqui Department of Human Resource Management, Lahore Business School, University of Lahore, Lahore, Pakistan

Keywords:

competency-based recruitment, workforce quality, competency modelling, personnel selection, person–job fit, structured interviews, talent acquisition, Pakistan

Abstract

Organizations increasingly require recruitment systems that identify not only applicants’ formal qualifications but also the behaviours, motives, knowledge, skills, and personal attributes associated with superior job performance. This conceptual article examines competency-based recruitment as an integrated model for improving workforce quality. Drawing on competency theory, job analysis, personnel-selection research, and evidence-based human resource management, it explains how organizations can develop role-specific competency frameworks and translate them into structured screening, assessment, and interview practices. The article proposes a five-stage model consisting of strategic competency mapping, competency-based sourcing and screening, multimethod assessment, standardized decision-making, and post-hire validation. It argues that competency-based recruitment can improve person–job fit, transparency, consistency, performance, retention, and workforce adaptability when selection criteria are demonstrably job-related and periodically validated. Particular attention is given to implementation in Pakistani organizations, where informal hiring, limited assessment capability, rapid digitization, and sector-specific skill gaps may weaken selection quality. The article also identifies key risks, including generic competency dictionaries, assessor bias, excessive reliance on self-reports, and opaque algorithmic screening. It concludes that competency models should complement rigorous job analysis rather than replace it and that organizations should evaluate recruitment quality through post-hire performance, retention, diversity, and candidate-experience indicators.

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Published

2017-12-31