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.
पूरी विधि पढ़ें
यह खंड पढ़ने के लिए निःशुल्क खाते से साइन इन करें।
पद्धति मानचित्र
सम्बन्धित पद्धतियों का परिवेश — अन्वेषण हेतु किसी नोड का चयन करें।
स्रोत
- 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 ↗
- Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119
इस पृष्ठ का उद्धरण कैसे दें
ScholarGate. (2026, June 23). Trend Impact Analysis (Probabilistic Perturbation of Extrapolated Trends). ScholarGate. https://scholargate.app/hi/futures-foresight-studies/trend-impact-analysis
कौन-सी पद्धति?
इस पद्धति को उसकी निकटतम सजातीय पद्धतियों के साथ रखकर उन्हें साथ-साथ पढ़ें — पुस्तकालय पुस्तकें मेज़ पर रख देता है; चुनाव आपका है।
- Cross-Impact Matrix MethodFutures Foresight Studies↔ तुलना करें
- Fisher-Pry Substitution ModelFutures Foresight Studies↔ तुलना करें
- Intuitive Logics Scenario PlanningFutures Foresight Studies↔ तुलना करें