Talent Acquisition Optimization

Talent Acquisition Optimization is a prescriptive human resource analytics framework that systemically enhances the efficiency and effectiveness of recruiting processes by leveraging data-driven decision models to align candidate selection with organizational strategic objectives.

20

Publications

1K

Citations

29

Authors

15

Institutions

Publications per year

2017–2026

17

Authors

29

  1. AK
    Anil Kumar

    Dehradun Institute of Technology University, India

    1 publications · 35 citations

    1

    h-index

  2. NL
    Nitin Liladhar Rane

    University of Mumbai, India

    1 publications · 79 citations

    1

    h-index

  3. DO
    Damilola Oluwaseun Ogundipe

    Duke University, United States

    1 publications · 32 citations

    1

    h-index

  4. AS
    Amit Singh

    IBM Research - India, India

    1 publications · 30 citations

    1

    h-index

  5. VU
    Vincent Ugochukwu Oguanobi

    Henan Energy & Chemical Industry Group (China), China

    1 publications · 54 citations

    1

    h-index

1–5 of 29

Venues

  1. Construction Research Congress 2014

    Conference · 1 publications · 29 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Expert Systems with Applications

    1 publications · 452 citations

    1

    h-index

  5. Enterprise Information Systems

    ELS · 1 publications · 29 citations

    1

    h-index

1–5