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Reference class forecasting: promises, problems, and a research agenda moving forward

dc.contributor.authorCantarelli, Chantal C.
dc.contributor.authorDavis, Kate
dc.contributor.authorPinto, Jeffrey K.
dc.contributor.authorTurner, Neil
dc.date.accessioned2025-11-10T10:24:14Z
dc.date.available2025-11-10T10:24:14Z
dc.date.freetoread2025-11-10
dc.date.issued2026-05-19
dc.date.pubOnline2025-11-06
dc.description.abstractReference Class Forecasting (RCF) has emerged as a prominent tool to counter chronic optimism in project planning. By applying an ‘outside view’ – using distributions of comparable past projects – RCF seeks to correct overly optimistic cost and schedule estimates that undermine megaproject delivery. While its adoption has expanded in policy and practice, particularly following Flyvbjerg’s work, questions remain about its validity, applicability and limitations. This article critically reviews the promises and problems of RCF and sets out a research agenda for moving the debate forward.
dc.description.journalNameProduction Planning & Control
dc.format.extentpp. 691-709
dc.identifier.citationCantarelli CC, Davis K, Pinto JK, Turner N. (2026) Reference class forecasting: promises, problems, and a research agenda moving forward. Production Planning & Control, Volume 37, Issue 7, May 2026, pp. 691-709 en_UK
dc.identifier.eissn1366-5871
dc.identifier.elementsID866374
dc.identifier.issn0953-7287
dc.identifier.urihttps://doi.org/10.1080/09537287.2025.2578708
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/24641
dc.languageEnglish
dc.language.isoen
dc.publisherTaylor & Francisen_UK
dc.publisher.urihttps://www.tandfonline.com/doi/full/10.1080/09537287.2025.2578708
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectOperations Researchen_UK
dc.subjectProjectsen_UK
dc.subjectoverrunsen_UK
dc.subjectreference class forecastingen_UK
dc.subjectoptimism biasen_UK
dc.subjectforecastingen_UK
dc.titleReference class forecasting: promises, problems, and a research agenda moving forwarden_UK
dc.typeArticle
dcterms.dateAccepted2025-10-17

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