Skip to main content

The Delphi Method: An Introduction

  • Chapter
  • First Online:
Delphi Methods In The Social And Health Sciences

Abstract

The Delphi method has developed from a “classic” to a variety of Delphi methods or “types”, which can have very different functions and are used in different subject areas. Online variants, especially the Real-time Delphi with instant feedback are becoming more and more popular. This introduction explains the different definitions, types and fields of application and shows the most important points to consider when using one of the Delphi methods. Special attention should be paid to the participants and their different backgrounds and expertise as well as to the design of the “questionnaire”. For example, typical questions in a Delphi are about the importance or time horizon of realizing a statement about a future issue, e.g. a problem solution in the health care system, a technology, or an educational measure. The Delphi method will continue to have a place in the canon of methods used in Foresight and Futures Research as well as in general empirical research in various disciplines where uncertainty is an issue (e.g. business administration). The method will be integrated more and more into overall processes and is a building block in the method mix of futures sciences, e.g. coupled with scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    On the history of the historical Delphi, see Maass (1993) or Parke (1956), but also Andronicos (1983); on the principle of self-fulfilling prophecy today, see Weaver et al. (2015) or Sternberg et al. (2011), among others.

  2. 2.

    This phenomenon is also found in the very simple horoscopes (e.g. in magazines): The person who believes in the horoscope behaves accordingly and thus makes the event possible in the first place. The other possibility is that the horoscope is formulated so broadly that subjectively one of the individual events is true in any case.

  3. 3.

    Helmer (1983), various sections. The very first Delphi surveys, however, are said to have been used for dog and horse betting since 1948, Woudenberg (1991, pp. 131–150) and Pill (1971, pp. 57–71), respectively.

  4. 4.

    Dalkey and Campbell have demonstrated that without the preservation of anonymity after the discussion, the result is not as accurate as the average opinion of the participants in the discussion before the discussion, Dalkey (1968).

  5. 5.

    Dalkey (1969, p. 23 ff.). This result, however, is doubted by Sackman (1975).

  6. 6.

    The Japanese national Delphi of the NISTEP, for example, was for the first time conducted online in the tenth edition (published in 2015). 5 years earlier, the paper questionnaire had still been used.

  7. 7.

    On the function of the brain, e.g. Burnett (2016).

  8. 8.

    For examples from the BOHEMIA project, see Andreescu et al. (2017).

Literature

  • Aengenheyster, S., Cuhls, K., Gerhold, L., Heiskanen-Schüttler, M., Huck, J., & Muszynskae, M. (2017). Real-time Delphi in practice – A comparative analysis of existing software-based tools. Technological Forecasting and Social Change https://doi.org/10.1016/j.techfore.2017.01.023.

  • Aichholzer, G. (2002). Das ExpertInnen-Delphi: Methodische Grundlagen und Anwendungsfeld Technology Foresight. In A. Bogner, B. Littig, & W. Menz (Hrsg.), Das Experteninterview (p. 133–153). VS Verlag. https://doi.org/10.1007/978-3-322-93270-9_6.

  • Andreescu, L., et al. or European Commission (2017). New horizons: Data from a Delphi survey in support of European Union future policies in research and innovation (Report KI-06-17-345-EN-N). 10.2777/654172 or https://ec.europa.eu/research/foresight/index.cfm. Accessed 28 April 2018.

  • Andronicos, M. (1983). Delphi.

    Google Scholar 

  • Aschemann-Witzel, J., Perez-Cueto, F. J. A., Niedzwiedzka, B., Verbeke, W., & Bech-Larsen, T. (2012). Transferability of private food marketing success factors to public food and health policy: An expert Delphi survey. Food Policy, 37(2012), 650–660.

    Article  Google Scholar 

  • Bardecki, M. J. (1984). Participant’s response to the Delphi method: An attitudinal perspective. Technological Forecasting and Social Change, 25, 281–292.

    Article  Google Scholar 

  • Becker, D. (1974). Analyse der Delphi-Methode und Ansätze zu ihrer optimalen Gestaltung. Dissertation, Mannheim.

    Google Scholar 

  • Berg, J., Forsythe, E. R., Nelson, F., & Rietz, T. A. (2000). Results from a dozen years of election futures markets research. College of Business Administration, University of Iowa. http://www.biz.uiowa.edu/iem/archive/BFNR_2000.pdf. Accessed 6 Sept 2011.

  • Bioeconomy Council. (2015). Global visions for the bioeconomy – An international Delphi-study, durchgeführt von K. Cuhls, V. Kayser, & S. Grandt. Fraunhofer ISI. http://gbs2015.com/fileadmin/gbs2015/Downloads/GBS2015_02_Delphi-Study.pdf. Accessed 29 Sept 2018.

  • Blind, K., & Cuhls, K. (2001). Der Einfluss der Expertise auf das Antwortverhalten in Delphi-Studien: Ein Hypothesentest. ZUMA-Nachrichten, 49, 57–80.

    Google Scholar 

  • Blind, K., Cuhls, K., & Grupp, H. (2001). Personal attitudes in the assessment of the future of science and technology: A factor analysis approach. Technological Forecasting and Social Change, 68, 131–149.

    Article  Google Scholar 

  • Brockhoff, K. (1979). Delphi-Prognosen im Computer-Dialog. Experimentelle Erprobung und Auswertung kurzfristiger Prognosen. Mohr.

    Google Scholar 

  • Bundesministerium für Forschung und Technologie (BMFT) (Ed.). (1993). Deutscher Delphi-Bericht zur Entwicklung von Wissenschaft und Technik. BMFT.

    Google Scholar 

  • Burnett, D. (2016). Unser verrücktes Gehirn. C. Bertelsmann.

    Google Scholar 

  • Cuhls, K. (1998). Technikvorausschau in Japan. Ein Rückblick auf 30 Jahre Delphi-Expertenbefragungen. Physica.

    Google Scholar 

  • Cuhls, K. (2000). Opening up foresight processes. Économies et Sociétés, Série Dynamique technologique et Organisation, 5, 21–40.

    Google Scholar 

  • Cuhls, K. (2003). From Forecasting to Foresight processes – New participative Foresight Activities in Germany. Cuhls, K. & Salo, Ahti (Hrsg.), Journal of Forecasting, Wiley Interscience, Special Issue, 22, 93–111.

    Google Scholar 

  • Cuhls, K. (2009). Delphi-Befragungen in der Zukunftsforschung. In R. Popp & E. Schüll (Eds.), Zukunft und Forschung (Wissenschaftliche Schriftenreihe des Zentrums für Zukunftsstudien Salzburg): Bd.1. Zukunftsforschung und Zukunftsgestaltung. Beiträge aus Wissenschaft und Praxis. Springer.

    Google Scholar 

  • Cuhls, K. (2012). Zu den Unterschieden zwischen Delphi-Befragungen und “einfachen” Zukunftsbefragungen. In R. Popp (Ed.), Wissenschaftliche Schriftenreihe Zukunft und Forschung des Zentrums für Zukunftsstudien Salzburg: Bd. 2. Zukunft und Wissenschaft: Wege und Irrwege der Zukunftsforschung (S. 139–159). Springer.

    Google Scholar 

  • Cuhls, K. (2017). Unternehmensstrategische Auswertung von Foresight-Ergebnissen. In M. Möhrle & R. Isenmann (Eds.), Technologie-Roadmapping, VDI (pp. 47–62). Springer. https://doi.org/10.1007/978-3-662-52709-2_4.

  • Cuhls, K., & Möhrle, M. G. (2008). Unternehmensstrategische Auswertung der Delphi-Berichte. In M. G. Möhrle & R. Isenmann (Hrsg.), Technologie-Roadmapping, Zukunftsstrategien für Technologieunternehmen (3. Revised and extended edition. pp. 107–135). Springer.

    Google Scholar 

  • Cuhls, K., Breiner, S., & Grupp, H. (1995). Delphi-Bericht 1995 zur Entwicklung von Wissenschaft und Technik – Mini-Delphi. Karlsruhe (Druck als Broschüre des BMBF, Bonn 1996).

    Google Scholar 

  • Cuhls, K., Blind, K. & Grupp, H. (Hrsg.). (1998). Delphi ‘98 Umfrage. Zukunft nachgefragt. Studie zur globalen Entwicklung von Wissenschaft und Technik. Methoden- und Datenband, Karlsruhe. https://doi.org/10.13140/2.1.2412.8965.

  • Cuhls, K., Blind, K., & Grupp, H. (2002). Innovations for our future. Delphi ‘98: New foresight on science and technology. Technology, innovation and policy (Series of the Fraunhofer Institute for systems and innovation research ISI no. 13). Physica.

    Google Scholar 

  • Cuhls, K., von Oertzen, J., & Kimpeler, S. (2007). Zukünftige Informationstechnologie für den Gesundheitsbereich. Ergebnisse einer Delphi-Befragung, FAZIT-Schriftenreihe. Stuttgart. https://www.fazit-forschung.de

  • Cuhls, K., van der Giessen, A., & Toivanen, H. (2015). Models of horizon scanning. How to integrate horizon scanning into European research and innovation policies. Report to the European Commission, Brussels, also: Cuhls, K. (2019). Horizon scanning in foresight – Why Horizon Scanning is only a part of the game. Futures and Foresight Science. https://doi.org/10.1002/ffo2.23.

  • Dalkey, N. C. (1967). Delphi. RAND Corporation. https://www.rand.org/content/dam/rand/pubs/papers/2006/P3704.pdf. Accessed 7 April 2019.

  • Dalkey, N. C. (1968). Predicting the future. Rand Corporation.

    Google Scholar 

  • Dalkey, N. C. (1969a). Analyses from a group opinion study. Futures, 2(12), 541–551.

    Article  Google Scholar 

  • Dalkey, N. C. (1969b). The Delphi method: An experimental study of group opinion, prepared for United States Air Force Project Rand. Rand Corporation.

    Google Scholar 

  • Dalkey, N. C., & Helmer, O. (1963). An experimental application of the Delphi-method to the use of experts. Management Science, 9, 458–467.

    Article  Google Scholar 

  • Dalkey, N. C., Brown, B., & Cochran, S. (1969). The Delphi method, III: Use of self ratings to improve group estimates. Rand Corporation.

    Google Scholar 

  • de Loe, R. C., Melnychuk, N., Murray, D., & Plummer, R. (2016). Advancing the state of policy Delphi practice: A systematic review evaluating methodological evolution, innovation, and opportunities. Technological Forecasting and Social Change, 104, 78–88.

    Article  Google Scholar 

  • El-Chichakli, B., Braun, J., Barben, D., Lang, C., & Philip, J. (2016). Five cornerstones of a global bioeconomy. Nature, 535, 221–223.

    Article  Google Scholar 

  • European Commission/European Union. (2018). Transitions at the horizon: Perspectives for the European Union’s future research- and innovation-related policies. https://ec.europa.eu/info/research-and-innovation/strategy/support-policy-making/support-eu-research-and-innovation-policy-making/foresight/activities/current/bohemia_en

  • Festinger, L. (1978). Theorie der kognitiven Dissonanz. In M. Irle & V. Möntmann (Hrsg.), Verlag Hans Huber.

    Google Scholar 

  • Friedewald, M., von Oertzen, J., & Cuhls, K. (2007). European perspectives on the information society: Delphi report. EPIS Deliverable 2.3.1. Fraunhofer ISI, Brussels: European Techno-Economic Policy Support Network (ETEPS). http://epis.jrc.es/documents/Deliverables/EPIS%202-3-1%20Delphi%20Report.pdf. Accessed 6 Sept 2011.

  • Gerhold, L., et al. (Eds.). (2015). Zukunft und Forschung: Bd. 4. Standards und Gütekriterien der Zukunftsforschung. Ein Handbuch der Wissenschaft und Praxis (S. 86–93). Springer.

    Google Scholar 

  • Gheorghiu, R., Andreescu, L., & Curaj, A. (2014). Dynamic argumentative Delphi: Lessons learned from two large-scale foresight exercises. In Contribution to the 5th International Conference on Future-Oriented Technology Analysis (FTA) – Engage today to shape tomorrow, Brüssel (S. 27–28).

    Google Scholar 

  • Gordon, T., & Pease, A. (2006). An efficient, RT Delphi: “Round-less” almost real time Delphi method. Technological Forecasting and Social Change, 73, 321–333.

    Article  Google Scholar 

  • Gordon, T. J., & Helmer, O. (1964). Report on a long-range forecasting study. Rand Corporation.

    Google Scholar 

  • Grupp, H. (Ed.). (1995). Der Delphi-report (collaboration with S. Breiner & K. Cuhls). dva.

    Google Scholar 

  • Häder, M. (2002). Delphi-Befragungen – Ein Arbeitsbuch. Springer.

    Book  Google Scholar 

  • Häder, M. (2009). Delphi-Befragungen – Ein Arbeitsbuch (Zweite Aufl.). Springer.

    Google Scholar 

  • Häder, M. (2014). Delphi-Befragungen: Ein Arbeitsbuch (2. Aufl.). Springer.

    Google Scholar 

  • Häder, M., & Häder, S. (1995). Delphi und Kognitionspsychologie: Ein Zugang zur theoretischen Fundierung der Delphi-Methode. ZUMA-Nachrichten, 37.

    Google Scholar 

  • Hämäläinen, R. P. (2003). Decisionarium – Aiding decisions, negotiating and collecting. Journal of Multi-Criteria Decision Analysis, 12, 101–110. https://doi.org/10.1002/mcda.350

    Article  Google Scholar 

  • Helmer, O. (1966). Social technology. Rand Corporation.

    Google Scholar 

  • Helmer, O. (1983). Looking forward. A guide to futures research. Sage.

    Google Scholar 

  • Helmer, O., & Rescher, N. (1959). On the epistemology of the inexact sciences. Management Science, 6, 47–52.

    Article  Google Scholar 

  • Humphrey-Murto, S., Varpio, L., Wood, T. J., Gonsalves, C., Ufholz, L., Mascioli, K., Wang, C., & Foth, T. (2017). The use of the Delphi and other consensus group methods in medical education research: A review. Academic Medicine https://doi.org/10.1097/ACM.0000000000001812. Accessed 18 Jan 2018.

  • Kagaku Gijutsuchô Keikakukyoku (Hrsg.). (1971). Gijutsu Yosoku Hôkokusho (Bericht zur Technikvorausschau). Tôkyô.

    Google Scholar 

  • Kanama, D., Kondo, A., & Yokoo, Y. (2008). Development of technology foresight: Integration of technology roadmapping and the Delphi method. International Journal of Technology Intelligence and Planning, 4(2), 184–200.

    Article  Google Scholar 

  • Keeney, S., Hasson, F., & McKenna, H. (2011). The Delphi technique in nursing and health research. Wiley-Blackwell.

    Book  Google Scholar 

  • Krüger, U. M. (1975). Die Antizipation und Verbreitung von Innovationen. Entwicklung und Anwendung eines kommunikations-strategischen Konzeptes unter besonderer Berücksichtigung der Delphi-Technik. Dissertation, Köln.

    Google Scholar 

  • Kuwahara, T. (2001). Technology foresight in Japan: The potential and implications of DELPHI approach (NISTEP research material no. 77), S. 119–135.

    Google Scholar 

  • Kuwan, H, Ulrich, J. G., & Westkamp, H. (1998). Die Entwicklung des Berufsbildungssystems bis zum Jahr 2020: Ergebnisse des Bildungs-Delphi 1997/98. BWP, 6, 3–8. http://www.forschungsnetzwerk.at/downloadpub/kuwan1998_bwp_06_1998.pdf. Accessed 29 Sept 2018.

  • Landeta, J. (2006). Current validity of the Delphi method in social sciences. Technological Forecasting and Social Change, 73, 467–482.

    Article  Google Scholar 

  • Linstone, H. A. (1998). Multiple perspectives revisited. In IAMOT conference, Orlando.

    Google Scholar 

  • Linstone, H. A., & Mitroff, I. I. (1994). The challenge of the 21st century: Managing technology and ourselves in a shrinking world. State University of New York Press.

    Google Scholar 

  • Linstone, H. A., & Turoff, M. (Eds.). (1975). The Delphi method: Techniques and applications. Addison Wesley/Advanced Book Program.

    Google Scholar 

  • Luckner, S., Kratzer, F., & Weinhardt, C. (2005). Stoccer – A forecasting market for the FIFA World Cup 2006. In Proceedings of the 4th Workshop on e-Business (WeB 2005).

    Google Scholar 

  • Maass, M. (1993). Das antike Delphi. Orakel, Schätze und Monumente. Wissenschaftliche Buchgesellschaft.

    Google Scholar 

  • Miles, I., Green, L., & Popper, R. (Hrsg.). (2004). WP 4 futures forum, D4.2 Scenario methodology for foresight in the European research area, Fistera – Thematic network on foresight on information society technologies in the European research area. Manchester. http://fistera.jrc.ec.europa.eu/pages/latest.htm. Accessed 3 Dec 2010.

    Google Scholar 

  • National Institute of Science and Technology Policy (NISTEP) (Hrsg.). (1997). The sixth technology forecast survey – Future technology in Japan toward the year 2025 (NISTEP report no. 52). Tokyo.

    Google Scholar 

  • National Institute of Science and Technology Policy (NISTEP) (Hrsg.). (2005). Comprehensive analysis of science and technology benchmarking and foresight (NISTEP report no. 99). Tokyo.

    Google Scholar 

  • National Institute of Science and Technology Policy (NISTEP) (Hrsg.). (2015). The 10th science and technology foresight (Report no. 164). Tokyo. http://data.nistep.go.jp/dspace/bitstream/11035/3079/2537/NISTEP-NR164-SummaryE.pdf

  • Nedeva, M., Georghiou, L., Loveridge, D., & Cameron, H. (1996). The use of co-nomination to identify expert participants for technology foresight. R&D Management, 26(2), 155–168.

    Article  Google Scholar 

  • Niederberger, M., & Renn, O. (2018). Das Gruppendelphi-Verfahren. Vom Konzept bis zur Anwendung. Springer.

    Book  Google Scholar 

  • Parke, H. W. (1956). The Delphic oracle. Blackwell.

    Google Scholar 

  • Pill, J. (1971). The Delphi method: Substance, context, a critique and an annotated bibliography. Socio-Economic Planning Science, 5, 57–71.

    Article  Google Scholar 

  • Prognos, A. G., & Infratest Burke Sozialforschung. (1998). Delphi-Befragung 1996/1998 Potentiale und Dimensionen der Wissensgesellschaft – Auswirkungen auf Bildungsprozesse und Bildungsstrukturen. Integrierter Abschlussbericht. Selbstverlag.

    Google Scholar 

  • Rowe, G., & Wright, G. (2011). The Delphi technique: Past, present, and future prospects – Introduction to the special issue. Technological Forecasting and Social Change, 78, 1487–1490.

    Article  Google Scholar 

  • Rowe, G., Wright, G., & McColl, A. (2005). Judgment change during Delphi-like procedures: The role of majority influence, expertise, and confidence. Technological Forecasting and Social Change, 72, 377–399.

    Article  Google Scholar 

  • Sackman, H. (1975). Delphi critique. Expert opinion, forecasting, and group process. Rand Corporation.

    Google Scholar 

  • Salo, A., & Gustafsson, T. (2004). Group support system for foresight processes. International Journal of Foresight and Innovation Policy, 1(3–4), 249–269.

    Article  Google Scholar 

  • Schulz, M., & Renn, O. (Eds.). (2009). Das Gruppendelphi. Konzept und Fragebogenkonstruktion. VS Verlag.

    Google Scholar 

  • Seeger, T. (1979). Die Delphi-Methode: Expertenbefragung zwischen Prognose und Gruppenmeinungsbildungsprozessen. Hochschul.

    Google Scholar 

  • Seker, S. E. (2015). Computerized argument Delphi technique. IEEE Access. https://doi.org/10.1109/access.2015.2424703

  • Spann, M., & Skiera, B. (2004). Einsatzmöglichkeiten Virtueller Börsen in der Marktforschung. Zeitschrift für Betriebswirtschaft (ZfB), 74, 25–48.

    Google Scholar 

  • Steinert, M. (2009). A dissensus based online Delphi approach: An explorative research tool. Technological Forecasting and Social Change, 76, 291–300.

    Article  Google Scholar 

  • Sternberg, E., Critchley, S., Gallagher, S., & Raman, V. V. (2011). A self-fulfilling prophecy: Linking belief to behavior. Annals of the New York Academy of Sciences, 1234(1), 83–97. https://doi.org/10.1111/j.1749-6632.2011.06184.x

    Article  Google Scholar 

  • Surowiecki, J. (2004). The wisdom of crowds. Anchor: Doubleday.

    Google Scholar 

  • Trevelyan, E. G., & Robinson, N. (2015). Delphi methodology in health research: How to do it? European Journal of Integrative Medicine, 7, 423–428.

    Article  Google Scholar 

  • Turoff, M. (1970). The design of a policy Delphi. Technological Forecasting and Social Change, 2(2), 149–171.

    Article  Google Scholar 

  • Unauthored. (2017). Delphi. Whitepaper Delphi Markets. https://delphi.markets/whitepaper.pdf. Accessed 15 Feb 2018.

  • Weaver, J., Filson Moses, J., & Snyder, M. (2015). Self-fulfilling prophecies in ability settings. The Journal of Social Psychology. https://doi.org/10.1080/00224545.2015.1076761

  • Webler, T., Levine, D., Rakel, H., & Renn, O. (1991). The group Delphi: A novel attempt at reducing uncertainty. Technological Forecasting and Social Change, 39(3), 253–263.

    Article  Google Scholar 

  • Wechsler, W. (1978). Delphi-Methode, Gestaltung und Potential für betriebliche Prognoseprozesse (Schriftenreihe Wirtschaftswissenschaftliche Forschung und Entwicklung). Florentz.

    Google Scholar 

  • Woudenberg, F. (1991). An evaluation of Delphi. Technological Forecasting and Social Change, 40(2), 131–150.

    Article  Google Scholar 

  • Zipfinger, S. (2007). Computer-aided Delphi – An experimental study of comparing round-based with real-time implementation of the method. Trauner.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kerstin Cuhls .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cuhls, K. (2023). The Delphi Method: An Introduction. In: Niederberger, M., Renn, O. (eds) Delphi Methods In The Social And Health Sciences. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-38862-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-38862-1_1

  • Published:

  • Publisher Name: Springer, Wiesbaden

  • Print ISBN: 978-3-658-38861-4

  • Online ISBN: 978-3-658-38862-1

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics