Dynamic Thresholds

Dynamic Thresholds is a methodological construct in willingness-to-pay analysis that adjusts valuation benchmarks in real-time based on evolving individual or market-level preferences, contextual factors, or decision-making dynamics, distinguishing it from static or fixed threshold approaches.

107

Publications

5K

Citations

387

Authors

180

Institutions

Publications per year

2017–2026

38

Authors

387

  1. PY
    Pratheepan Yogarajah

    University of Ulster, United Kingdom

    2 publications · 101 citations

    2

    h-index

  2. AC
    A. C. Luntz

    IBM Research - Almaden, United States

    2 publications · 259 citations

    2

    h-index

  3. MQ
    Minh Quach

    Hewlett-Packard (United States), United States

    2 publications · 243 citations

    2

    h-index

  4. AJ
    Anxiao Jiang

    Texas A&M University, United States

    2 publications · 93 citations

    2

    h-index

  5. AC
    Abbas Cheddad

    Blekinge Institute of Technology, Sweden

    2 publications · 101 citations

    2

    h-index

1–5 of 387

Venues

  1. The Journal of Chemical Physics

    3 publications · 307 citations

    3

    h-index

  2. 3

    h-index

  3. Remote Sensing

    2 publications · 51 citations

    2

    h-index

  4. Neural Computation

    2 publications · 115 citations

    2

    h-index

  5. Reliability Engineering & System Safety

    2 publications · 100 citations

    2

    h-index

1–5