AI Driven Talent Acquisition: Integrating Agile and Lean Six Sigma for Process Optimization and Candidate Experience

Srikanth  Ganti

doi:10.48161/qaj.v5n3a1835

Authors

Srikanth Ganti Program Manager, Diversity, Equity & Inclusion, Rushford Business School, Ciutat Vella, Valencia 46002, Spain.

DOI:

https://doi.org/10.48161/qaj.v5n3a1835

Keywords:

agile project management, lean six sigma, artificial intelligence, talent acquisition, recruitment optimization, candidate experience, process efficiency.

Abstract

The recruitment landscape is changing, as Agile project management, Lean Six Sigma, and Artificial Intelligence (AI) are integrated together. This paper examines how the integration of these three methodologies enhances talent acquisition efficiency, reduces waste, and brings recruitment processes into line with organizational objectives. Agile project management helps create adaptability and collaboration; Lean Six Sigma reduces process inefficiencies; and AI automates routine tasks and provides data-driven insights. The descriptive and analytical research design used was for gathering data from 250 candidates and 100 interviewers by applying purposive sampling, and analyzed through statistical tools. Results indicated significant decreases in recruitment cost, time-to-hire, and candidate waiting times that ensured enhanced candidate satisfaction and better fit to the organizational objectives. This research highlights the importance of combining Agile, Lean Six Sigma, and AI in creating efficient, inclusive, and candidate-centric recruitment processes, offering a framework for organizations to achieve their talent acquisition goals in a dynamic business environment.

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