S-curve Modeling

S-Curve Modeling is a formal analytical framework within technology forecasting that characterizes the evolution of technological performance over time as an S-shaped curve, distinguishing itself by capturing the nonlinear progression from initial slow improvement, through a period of rapid acceleration, to eventual saturation or maturity.

69

Publications

3.4K

Citations

146

Authors

85

Institutions

Publications per year

2017–2026

14

Variants

S-curve AnalysisSigmoid Modeling

Authors

146

  1. AR
    Artatrana Ratha

    St. Cloud State University, United States

    3 publications · 68 citations

    3

    h-index

  2. MB
    Mohsen Bahmani‐Óskooee

    University of Wisconsin–Milwaukee, United States

    3 publications · 68 citations

    3

    h-index

  3. RD
    Roland De Guio

    Institut National des Sciences Appliquées de Strasbourg, France

    2 publications · 105 citations

    2

    h-index

  4. KD
    Kim Doang Nguyen

    Nanyang Technological University, Singapore

    2 publications · 195 citations

    2

    h-index

  5. LC
    Li‐Chung Chao

    National Kaohsiung First University of Science and Technology, Taiwan

    2 publications · 55 citations

    2

    h-index

1–5 of 146

Venues

  1. International Journal of Fatigue

    4 publications · 219 citations

    4

    h-index

  2. Procedia Engineering

    3 publications · 118 citations

    3

    h-index

  3. Automation in Construction

    2 publications · 55 citations

    2

    h-index

  4. Production and Operations Management

    POMS · 2 publications · 564 citations

    2

    h-index

  5. Research Management

    2 publications · 151 citations

    2

    h-index

1–5