Selection Automation

Selection Automation is a methodological construct within human resource information systems that automates candidate screening and evaluation processes in applicant tracking systems through algorithmic decision rules, distinguishing it from manual or semi-automated selection approaches by its reliance on predefined, executable criteria for end-to-end candidate shortlisting.

24

Publications

970

Citations

65

Authors

28

Institutions

Publications per year

2017–2026

14

Publications

24

1–5 of 24

Authors

65

  1. JS
    Jenny S. Wesche

    Freie Universität Berlin, Germany

    1 publications · 62 citations

    1

    h-index

  2. CC
    Caryl Charlene Escolar-Jimenez

    Tokyo City University, Japan

    1 publications · 18 citations

    1

    h-index

  3. AB
    Alena Borisova

    D. Serikbayev East Kazakhstan State Technical University, Kazakhstan

    1 publications · 12 citations

    1

    h-index

  4. DG
    David Goretzko

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 35 citations

    1

    h-index

  5. AS
    Avi Singh

    University of California, Berkeley, United States

    1 publications · 55 citations

    1

    h-index

1–5 of 65

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 14 citations

    1

    h-index

  2. Journal of Cognitive Engineering and Decision Making

    JCEDM · 1 publications · 48 citations

    1

    h-index

  3. 1

    h-index

  4. Ultima InfoSys Jurnal Ilmu Sistem Informasi

    1 publications · 11 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 57 citations

    1

    h-index

1–5