ScholarGate
Asisten
Process / pipelineFutures studies / quantitative forecasting

Trend Impact Analysis

Trend impact analysis (TIA) is a forecasting method that marries quantitative extrapolation with expert judgment about disruptive future events. Developed by Theodore Gordon and colleagues at The Futures Group in the early 1970s and later codified in the Millennium Project's Futures Research Methodology, it starts from a 'surprise-free' baseline produced by fitting and projecting a historical time series. It then asks which unprecedented events — events with no historical analog that ordinary extrapolation cannot anticipate — could deflect that trend, and with what probability, magnitude, and timing. Through Monte Carlo simulation those probabilistic impacts perturb the baseline, yielding not a single line but a probability envelope that shows how the trend might bend if the unexpected occurs.

Buka di MethodMindSegeraTerapkan, bandingkan, dapatkan panduan
Alat & sumber daya
Unduh salindia
Belajar & jelajahi
VideoSegera

Baca metode selengkapnya

Khusus anggota

Masuk dengan akun gratis untuk membaca bagian ini.

Masuk

Peta metode

Lingkup metode terkait — pilih sebuah simpul untuk menjelajah.

Sumber

  1. Gordon, T. J., & Hayward, H. (1968). Initial experiments with the cross-impact matrix method of forecasting. Futures, 1(2), 100-116. DOI: 10.1016/S0016-3287(68)80003-5
  2. Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119

Cara menyitasi halaman ini

ScholarGate. (2026, June 23). Trend Impact Analysis (Probabilistic Perturbation of Extrapolated Trends). ScholarGate. https://scholargate.app/id/futures-foresight-studies/trend-impact-analysis

Metode yang mana?

Letakkan metode ini berdampingan dengan kerabat terdekatnya dan baca secara bersisian — pustaka menata bukunya di atas meja; pilihan ada di tangan Anda.

Bandingkan berdampingan

Dirujuk oleh

ScholarGateTrend Impact Analysis (Trend Impact Analysis (Probabilistic Perturbation of Extrapolated Trends)). Diakses 2026-06-24 dari https://scholargate.app/id/futures-foresight-studies/trend-impact-analysis · Set data: https://doi.org/10.5281/zenodo.20539026