Forecasting For Decisions
Forecasting for Decisions is a subfield of decision analytics that examines the design, production, evaluation, and use of forecasts explicitly to support and improve decision-making under uncertainty, by tailoring forecasting methods, accuracy measures, and communication to decision-relevant costs, constraints, and organizational contexts.
131
Publications
7.6K
Citations
339
Authors
190
Institutions
Publications per year
2017–2026
42
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Children
131
Robert Fildes, Paul Goodwin, Michael Lawrence · International Journal of Forecasting · 2009 · 438 citations · Full text
Management, Operations Management, Supply Chain Management +16
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190

Monash University
Melbourne, Australia
3 h-index
5 publications
150 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
395 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
5 publications
119 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
7 publications
277 citations
University of Florida
Gainesville, United States
3 h-index
6 publications
215 citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
4 publications
214 citations
Saint Petersburg State University of Economics
Saint Petersburg, Russia
2 h-index
2 publications
39 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
5 publications
294 citations
1–8 of 190
7 publications · 588 citations
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BAMS · 5 publications · 174 citations
5
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3 publications · 671 citations
3
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3 publications · 440 citations
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JDS · 2 publications · 80 citations
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