Skip to main content
  • 285 Accesses

Abstract

In the classic Delphi method, results are processed only after the conclusion of a round, and the numerical and qualitative information is reported back to the experts. This article describes a “real-time Delphi” approach, which eliminates the conventional “round logic” in favor of intermediate result feedback. The article describes the requirements of this efficiency-centered approach and discusses the biases and problems as well as the specifics of the survey procedure. In addition, the paper presents providers of software tools and identifies current developments regarding real-time Delphis.

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.

    Different notations are common in the literature, including RT Delphi (Gordon & Pease, 2006) and real-time Delphi (Geist, 2010; Gnatzy et al., 2011; Gordon, 2009).

  2. 2.

    The typification helps Delphi developers be clear about objectives, enables a methodological framing (e.g. design of the questions depending on the objective), and shows the possibilities that Delphi surveys offer (Häder, 2009, p. 31).

  3. 3.

    It should be noted, however, that a large sample size is not necessarily the objective. “In a statistically based study, Gordon observes, “such as a public opinion poll, participants are assumed to be representative of a larger population; in Delphi, non-representative, knowledgeable persons are needed” (Gordon, 2009, p. 5).

  4. 4.

    The handbook Standards of Futures Research. Guidelines for Practice and Evaluation (Gerhold et al., 2021) provides guidelines for futures research.

Literature

  • Aengenheyster, S., Cuhls, K., Gerhold, L., & Muszynska, M. (2017). Real-time Delphi in practice – A comparative analysis of existing software-based tools. Technological Forecasting and Social Change, 118, 15–27. https://doi.org/10.1016/j.techfore.2017.01.023

    Article  Google Scholar 

  • Aguirre-Bastos, C., Giesecke, S., Wasserbacher, D., & Weber, M. (2009). FORESEC Deliverable D 4.3 1st Delphi Report 30 April 2009. No longer available online.

    Google Scholar 

  • Cuhls, K. (2009). Delphi-Befragungen in der Zukunftsforschung. In R. Popp & E. Schüll (Eds.), Zukunftsforschung und Zukunftsgestaltung: Beiträge aus Wissenschaft und Praxis (pp. 207–221). Springer.

    Chapter  Google Scholar 

  • Cuhls, K. (2012). Zu den Unterschieden zwischen Delphi-Befragungen und “einfachen” Zukunftsbefragungen. In R. Popp & E. Schüll (Eds.), Zukunft und Wissenschaft. Wege und Irrwege der Zukunftsforschung (pp. 139–158). Springer (Zukunft und Forschung, 2).

    Chapter  Google Scholar 

  • Di Zio, S., Rosas, J. D. C., & Lamelza, L. (2017). Real time spatial Delphi: Fast convergence of experts’ opinions on the territory. Technological Forecasting and Social Change, 115, 143–154.

    Article  Google Scholar 

  • Döring, N., & Bortz, J. (2016). Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Springer.

    Book  Google Scholar 

  • Geist, M. (2010). Using the Delphi method to engage stakeholders: A comparison of two studies. Evaluation and Program Planning, 33(2), 147–154. https://doi.org/10.1016/j.evalprogplan.2009.06.006

    Article  Google Scholar 

  • Gerhold, L. (2012). Methodenkombination in der sozialwissenschaftlichen Zukunftsforschung. In R. Popp (Ed.), Zukunft und Wissenschaft (pp. 159–183). Springer. https://doi.org/10.1007/978-3-642-28954-5_8

    Chapter  Google Scholar 

  • Gerhold, L., Holtmannspötter, D., Neumann, C., Schüll, E., Schulz-Montag, B., Steinmüller, K., & Zweck, A. (2021). Standards of futures research. Guidelines for practice and evaluation. Springer.

    Google Scholar 

  • Glenn, J. C., & Florescu, E. (2015). State of the future. The Millennium Project. http://www.millennium-project.org/publications-2-3/#sof2015-16

  • Glenn, J. C., & Gordon, T. J. (2009). Integration, comparisons, and frontiers of futures research methods. In J. C. Glenn & T. J. Gordon (Eds.), Futures research methodology version 3.0, the millennium project (pp. 1–34). American Council for the United Nations University.

    Google Scholar 

  • Gnatzy, T., Warth, J., von der Gracht, H., & Darkow, I.-L. (2011). Validating an innovative real-time Delphi approach – A methodological comparison between real-time and conventional Delphi studies. Technological Forecasting and Social Change, 78(9), 1681–1694. https://doi.org/10.1016/j.techfore.2011.04.006

    Article  Google Scholar 

  • Gordon, T. J. (2007). Energy forecasts using a “Roundless” approach to running a Delphi study. Foresight, 9(2), 27–35. https://doi.org/10.1108/14636680710737731

    Article  Google Scholar 

  • Gordon, T. J. (2009). The real-time Delphi method. In J. C. Glenn & T. J. Gordon (Eds.), Futures research methodology version 3.0, the millennium project. American Council for the United Nations University.

    Google Scholar 

  • Gordon, T., & Pease, A. (2006). RT Delphi: An efficient, “round-less” almost real time Delphi method. Technological Forecasting and Social Change, 73(4), 321–333. https://doi.org/10.1016/j.techfore.2005.09.005

    Article  Google Scholar 

  • Häder, M. (2009). Delphi Befragungen. Ein Arbeitsbuch (2nd ed.). Springer. https://doi.org/10.1007/978-3-658-01928-0

    Book  Google Scholar 

  • Häder, M., & Häder, S. (Eds.). (2000). Die Delphi-Technik in den Sozialwissenschaften. Methodische Forschungen und innovative Anwendungen. Springer.

    Google Scholar 

  • Kloker, S., Straub, T., Morana, S. & Weinhardt, C. (2018). The effect of social reputation on retention: Designing a social real-time Delphi platform (Research papers. 46). https://aisel.aisnet.org/ecis2018_rp/46

  • Linstone, H. A., & Turoff, M. (1975). Introduction. In H. A. Linestone & M. Turoff (Eds.), The Delphi method. Techniques and applications. Addison-Wesley Educational Publishers.

    Google Scholar 

  • Linstone, H. A., & Turoff, M. (2011). Delphi: A brief look backward and forward. Technological forecasting and social change on ScienceDirect Technological Forecasting and Social Change, 78(9), 1712–1719. https://www.sciencedirect.com/science/journal/00401625. https://www.sciencedirect.com/science/journal/00401625/78/9

    Google Scholar 

  • Neuhaus, C., & Steinmüller, K. (2015). Grundlagen der Standards Gruppe 1. In L. Gerhold, D. Holtmannspötter, C. Neuhaus, E. Schüll, B. Schulz-Montag, K. Steinmüller, & A. Zweck (Eds.), Standards und Gütekriterien der Zukunftsforschung (pp. 17–20). Springer. https://doi.org/10.1007/978-3-658-07363-3_2

    Chapter  Google Scholar 

  • Popper, R. (2009). Mapping foresight. Revealing how Europe and other world regions navigate into the future. European Foresight Monitoring Network. https://doi.org/10.2777/47203

    Book  Google Scholar 

  • Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: Issues and analysis. International Journal of Forecasting, 15, 353–375.

    Article  Google Scholar 

  • Schüll, E. (2009). Zur Forschungslogik explorativer und normativer Zukunftsforschung. In R. Popp & E. Schüll (Eds.), Zukunftsforschung und Zukunftsgestaltung. Beiträge aus Wissenschaft und Praxis (pp. 223–234). Springer. https://doi.org/10.1007/978-3-540-78564-4

    Chapter  Google Scholar 

  • Steinmüller, K. (1997). Grundlagen und Methoden der Zukunftsforschung. Szenarien. Delphi. Technikvorausschau. Werkstattbericht 21. Gelsenkirchen.

    Google Scholar 

  • Wagner, S., Vogt, S., & Kabst, R. (2016). How IT and social change facilitates public participation: A stakeholder-oriented approach. Government Information Quarterly, 33, 435–443.

    Article  Google Scholar 

  • Winkler, J., & Moser, R. (2016). Biases in future-oriented Delphi studies: A cognitive perspective. Technological Forecasting and Social Change, 105(2016), 63–76. https://doi.org/10.1016/j.techfore.2016.01.021

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lars Gerhold .

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

Gerhold, L. (2023). Real-Time Delphi. 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_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-38862-1_5

  • 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