An Analytical Framework for Candidate Selection and Talent Pool Optimization in SAP SuccessFactors Recruiting

Manoj Parasa

doi:10.71097/IJSAT.v11.i3.10905

An Analytical Framework for Candidate Selection and Talent Pool Optimization in SAP SuccessFactors Recruiting

Author(s)	Mr. Manoj Parasa
Country	India
Abstract	Enterprise recruitment processes within SAP SuccessFactors Recruiting have expanded in scale and automation, yet organizations continue to face persistent challenges in achieving consistent and high-quality hiring outcomes due to reliance on subjective screening, fragmented candidate data, and underutilized talent pools that function largely as static repositories. This study argues that the absence of a structured and measurable evaluation approach limits the ability to standardize hiring decisions and effectively reuse qualified candidates across requisitions. To address this gap, the paper presents an analytical framework that introduces a structured candidate scoring model based on normalized and weighted attributes such as experience alignment, skill relevance, and prior application outcomes, combined with a dynamic talent pool mechanism that categorizes candidates using evaluation scores and availability indicators. The framework establishes a feedback-driven recruitment cycle that supports objective ranking, improves decision consistency, and enhances talent reuse within SAP SuccessFactors Recruiting environments. Empirical evaluation across multiple hiring scenarios demonstrates measurable improvements in shortlisting accuracy, hiring precision, and candidate reusability, along with a reduction in time-to-fill and manual screening effort when compared with conventional and rule-based approaches. The findings suggest that embedding analytical evaluation and structured talent pooling within recruitment workflows can significantly improve operational efficiency and decision quality, offering a scalable and practical foundation for advancing data-informed hiring practices in enterprise HR systems.
Keywords	SAP SuccessFactors Recruiting, Candidate Selection, Talent Pool Management, Recruitment Analytics, Candidate Scoring Model, Hiring Decision Consistency, Applicant Tracking Systems, Talent Acquisition Strategy, Data-Driven Recruitment, Candidate Shortlisting, Recruitment Process Optimization, HR Systems, Workforce Planning, Recruitment Efficiency
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 11, Issue 3, July-September 2020
Published On	2020-07-15
DOI	https://doi.org/10.71097/IJSAT.v11.i3.10905

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An Analytical Framework for Candidate Selection and Talent Pool Optimization in SAP SuccessFactors Recruiting

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