Descriptive Human Resource Analytics

Descriptive Human Resource Analytics is a subfield of Human Resource Analytics that systematically summarizes and interprets historical workforce data to identify patterns, trends, and current organizational conditions, without extending to predictive or prescriptive insights.

43

Publications

3.1K

Citations

78

Authors

47

Institutions

Publications per year

2017–2026

32

Authors

78

  1. JH
    Janet H. Marler

    University at Albany, State University of New York, United States

    2 publications · 959 citations

    2

    h-index

  2. SW
    Seung Won Yoon

    East Texas A&M University, United States

    2 publications · 37 citations

    2

    h-index

  3. JW
    John W. Boudreau

    Cornell University, United States

    2 publications · 893 citations

    2

    h-index

  4. SA
    Sanjoosh Akkineni

    Kennesaw State University, United States

    1 publications · 14 citations

    1

    h-index

  5. CS
    Christoph Siemroth

    University of Essex, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 78

Venues

  1. Journal of Business Research

    JBR · 3 publications · 331 citations

    3

    h-index

  2. 2

    h-index

  3. IEEE Engineering Management Review

    IEMRAP · 2 publications · 44 citations

    2

    h-index

  4. Employment Relations Today

    2 publications · 34 citations

    2

    h-index

  5. Human Resource Development Quarterly

    HRDQ · 2 publications · 37 citations

    2

    h-index

1–5