Cited by 1,353Delphi Technique in ResearchMulti-Criteria Decision MakingForecasting Techniques and Applications

Current validity of the Delphi method in social sciences

Landeta, Jon·2006·Technological Forecasting and Social Change

Integrity signals

Registry

Crossref · 10.1016/j.techfore.2005.09.002

Cites

46 of 46 references verified0 citation errors · 0 not checkable

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  • The Delphi method is a technique used to establish consensus among a group of experts on complex issues and in some cases used to forecast future developments.

    “First developed in the 1960s, the Delphi method is a technique used to establish consensus among a group of experts on complex issues (Landeta 2006) and in some cases used to forecast future developments (Linstone and Turoff 1975).”

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Authors
Landeta, J.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2006-06
Volume
73
Issue
5
Pages
467-482
ISSN
0040-1625 (ISSN-L)
OpenAlex
W2003282762
Cited by
1,353
References
46
Citations by year
2026: 66 · 2025: 78 · 2024: 123 · 2023: 98 · 2022: 101 · 2021: 109 · 2020: 97 · 2019: 81 · 2018: 71 · 2017: 58 · 2016: 76 · 2015: 71 · 2014: 67 · 2013: 56 · 2012: 63
FWCI
36.45
Type
journal article
Language
en
Open access
closed
Locations
Technological Forecasting and Social Change (publishedVersion)
Funders
Euskal Herriko Unibertsitatea
Topics
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
Keywords
Delphi method, expert opinion, expert groups, forecasting, decision-making, policy Delphi, social science applications, methodological quality

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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