Joint Forecasting

Joint Forecasting is a collaborative forecasting framework within multivariate forecasting and vendor collaboration that integrates inter-organizational data and shared intelligence to generate unified demand predictions, distinguished from traditional forecasting methods by its emphasis on cross-entity coordination and real-time consensus building.

66

Publications

2.4K

Citations

153

Authors

94

Institutions

Publications per year

2017–2026

28

Authors

153

  1. CG
    Cüneyt Güzelіș

    Yaşar University, Türkiye

    2 publications · 40 citations

    2

    h-index

  2. DT
    Deniz Türsel Eliiyi

    Yaşar University, Türkiye

    2 publications · 40 citations

    2

    h-index

  3. LW
    Liane Werner

    Universidade Federal do Rio Grande do Sul, Brazil

    2 publications · 53 citations

    2

    h-index

  4. VR
    Volkan Rodoplu

    University of California, Santa Barbara, United States

    2 publications · 40 citations

    2

    h-index

  5. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    2 publications · 91 citations

    2

    h-index

1–5 of 153

Venues

  1. Journal of Forecasting

    8 publications · 376 citations

    8

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 4 publications · 144 citations

    4

    h-index

  3. Management Science

    3 publications · 271 citations

    3

    h-index

  4. Applied Soft Computing

    2 publications · 76 citations

    3

    h-index

  5. Information

    2 publications · 43 citations

    2

    h-index

1–5