Labor Forecasting Systems

Labor Forecasting Systems is a computational decision-support system that distinguishes itself by enabling retail human resource planning through predictive modeling of staffing requirements based on historical, temporal, and operational data.

11

Publications

263

Citations

21

Authors

17

Institutions

Publications per year

2017–2026

4

Authors

21

  1. PE
    Peter E.D. Love

    Curtin University, Australia

    2 publications · 54 citations

    2

    h-index

  2. CM
    C. M. Tam

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 54 citations

    2

    h-index

  3. SC
    Stephanie C. Vereen

    Wayne State University, United States

    1 publications · 11 citations

    1

    h-index

  4. HM
    Huda Muhamad Badri

    Islamic University of Indonesia, Indonesia

    1 publications · 10 citations

    1

    h-index

  5. IK
    Iryna Kalinouskaya

    Vitebsk State Technological University, Belarus

    1 publications · 31 citations

    1

    h-index

1–5 of 21

Venues

  1. Journal of Management in Engineering

    1 publications · 22 citations

    1

    h-index

  2. Econstor (Econstor)

    Repository · 1 publications · 13 citations

    1

    h-index

  3. Jurnal Teknologi

    1 publications · 10 citations

    1

    h-index

  4. E3S Web of Conferences

    1 publications · 31 citations

    1

    h-index

  5. Neural Computing and Applications

    1 publications · 24 citations

    1

    h-index

1–5