Career Progression Analytics

Career Progression Analytics is a methodological framework within Employee Lifecycle Analytics that systematically analyzes longitudinal employee data to model, measure, and predict individual and cohort-level advancements in job roles, responsibilities, and compensation over time.

28

Publications

1.6K

Citations

97

Authors

58

Institutions

Publications per year

2017–2026

13

Authors

97

  1. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    2 publications · 80 citations

    2

    h-index

  2. SP
    Svetlana Peltsverger

    Kennesaw State University, United States

    1 publications · 18 citations

    1

    h-index

  3. TS
    Tara Safavi

    University of Michigan, United States

    1 publications · 16 citations

    1

    h-index

  4. CW
    Chen‐Ya Wang

    National Tsing Hua University, Taiwan

    1 publications · 66 citations

    1

    h-index

  5. JD
    Jyldyz Djumalieva

    Bank of England, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 97

Venues

  1. Journal of Vocational Behavior

    2 publications · 54 citations

    2

    h-index

  2. Accounting Organizations and Society

    2 publications · 276 citations

    2

    h-index

  3. American Journal of Agricultural Economics

    1 publications · 32 citations

    1

    h-index

  4. Nature Biotechnology

    1 publications · 44 citations

    1

    h-index

  5. Procedia Computer Science

    1 publications · 75 citations

    1

    h-index

1–5