No-show Modeling

No-Show Modeling is a predictive analytics framework within yield management that quantifies the probability of customer reservations failing to materialize at service delivery, thereby enabling capacity overbooking decisions to optimize revenue under demand uncertainty.

17

Publications

901

Citations

56

Authors

39

Institutions

Publications per year

2017–2026

10

Authors

56

  1. DA
    David A. Hanauer

    University of Michigan, United States

    2 publications · 194 citations

    2

    h-index

  2. MA
    Martin A. Lariviere

    Northwestern University, United States

    2 publications · 70 citations

    2

    h-index

  3. WG
    William G Brunger

    Continental (United States), United States

    1 publications · 24 citations

    1

    h-index

  4. AA
    Alexei Alexandrov

    Russian Academy of Sciences, Russia

    1 publications · 57 citations

    1

    h-index

  5. CB
    Clara Büttner

    Europa-Universität Flensburg, Germany

    1 publications · 33 citations

    1

    h-index

1–5 of 56

Venues

  1. BMC Health Services Research

    2 publications · 67 citations

    2

    h-index

  2. 1

    h-index

  3. Computers & Industrial Engineering

    1 publications · 17 citations

    1

    h-index

  4. Journal of Sports Economics

    JSE · 1 publications · 48 citations

    1

    h-index

  5. Obesity Surgery

    1 publications · 50 citations

    1

    h-index

1–5