Feedback Data Quality

Feedback Data Quality is a construct in customer feedback management that denotes the degree to which collected feedback data exhibits accuracy, completeness, consistency, and relevance, thereby enabling reliable interpretation and actionable insights for organizational decision-making.

17

Publications

817

Citations

85

Authors

28

Institutions

Publications per year

2017–2026

8

Authors

85

  1. PN
    Paul N. Bennett

    Microsoft (United States), United States

    2 publications · 28 citations

    2

    h-index

  2. TS
    Tobias Schnabel

    Cornell University, United States

    2 publications · 28 citations

    2

    h-index

  3. TJ
    Thorsten Joachims

    Cornell University, United States

    2 publications · 28 citations

    2

    h-index

  4. YM
    Yoshitaka Masutani

    The University of Tokyo, Japan

    1 publications · 26 citations

    1

    h-index

  5. HF
    Herta Fidler

    University of Calgary, Canada

    1 publications · 45 citations

    1

    h-index

1–5 of 85

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 150 citations

    2

    h-index

  2. Academic Medicine

    2 publications · 77 citations

    2

    h-index

  3. 1

    h-index

  4. American Journal of Preventive Medicine

    1 publications · 21 citations

    1

    h-index

  5. Journal of Synchrotron Radiation

    1 publications · 68 citations

    1

    h-index

1–5