Supervisory Data Collection

Supervisory Data Collection is a systematic method within the supervisory evaluation process that involves the structured gathering of performance-related information and evidence by supervisors to inform appraisal, feedback, and decision-making regarding subordinates' work outcomes and behaviors.

41

Publications

1.2K

Citations

113

Authors

70

Institutions

Publications per year

2017–2026

14

Authors

113

  1. WL
    William L. Gardner

    Texas Tech University, United States

    2 publications · 143 citations

    2

    h-index

  2. GF
    Giovanni Favara

    Federal Reserve Board of Governors, United States

    2 publications · 52 citations

    2

    h-index

  3. MJ
    Mark J. Martinko

    Florida State University, United States

    2 publications · 143 citations

    2

    h-index

  4. CP
    Charles Press

    Federal Reserve, United States

    1 publications · 22 citations

    1

    h-index

  5. YS
    Yi-Zhe Song

    University of Surrey, United Kingdom

    1 publications · 51 citations

    1

    h-index

1–5 of 113

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 187 citations

    5

    h-index

  2. Academy of Management Review

    AMR · 2 publications · 143 citations

    2

    h-index

  3. Journal of Applied Psychology

    2 publications · 117 citations

    2

    h-index

  4. Qualitative Research Journal

    1 publications · 25 citations

    1

    h-index

  5. Journal of Physics Conference Series

    1 publications · 11 citations

    1

    h-index

1–5