Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Delphi technique in forecasting: A 42-year bibliographic analysis (1975–2017)
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0002-8155-6873
Beedie School of Business, Simon Fraser University, Burnaby, B.C., Canada.
Beedie School of Business, Simon Fraser University, Burnaby, B.C., Canada.
2020 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 150, article id 119773Article in journal (Refereed) Published
Abstract [en]

Since the infancy of the Delphi Technique for collecting and aggregating expert insight, this methodological tool has been discussed, adapted and applied in over 2,600 published scholarly papers to date. This paper mines the major citation indexing services to analyze five dimensions of these data: primary contribution (methodological or applied), field and subfield, length (in pages), year, and journal/conference. Interpreted visual analytics of these five dimensions (both individually and in combination) provide researchers, practitioners and editors with clear insights about whether the Delphi technique is still as prominently used, discussed, and written about in the academic literature as it was twenty years ago and the related trends that might inform predictions of its future use. Among these insights, a simple time series of frequencies of Delphi publications by year immediately shows that academic acceptance of Delphi as a research tool is not only well established, but it has been growing in popularity and range of research domains for two decades predicting unprecedented levels of use in the years to come.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 150, article id 119773
Keywords [en]
Delphi, Bibliographic analysis, Visual analytics, Trend analysis
National Category
Business Administration
Research subject
Industrial Marketing
Identifiers
URN: urn:nbn:se:ltu:diva-76762DOI: 10.1016/j.techfore.2019.119773ISI: 000503324600001Scopus ID: 2-s2.0-85074258070OAI: oai:DiVA.org:ltu-76762DiVA, id: diva2:1371329
Note

Validerad;2019;Nivå 2;2019-11-19 (johcin)

Available from: 2019-11-19 Created: 2019-11-19 Last updated: 2020-03-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Flostrand, Andrew

Search in DiVA

By author/editor
Flostrand, Andrew
By organisation
Business Administration and Industrial Engineering
In the same journal
Technological forecasting & social change
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 213 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf