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Predicting the Future: Have you considered using the Delphi Methodology?
Open accessAbstract
Frequently business, governmental agencies and organizations are faced with the problem of predicting or forecasting future events and relationships in order to make appropriate and reasonable plans or changes. Several methods exist for forecasting, one of which is called the Delphi technique. This approach has not been frequently used by Extension practitioners, but has potential as a tool for consensus building. The Tools for the Trade article provides an overview of the process and suggestions for implementation.
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Citations
Cited by
The Delphi Technique: Making Sense of Consensus
Hsu, C.-C., & Sandford, B. A. (2007) · University of Massachusetts Amherst · doi:10.7275/pdz9-th90 · Cited by 4,500
Loyola-Gonzalez, O. (2019) · IEEE Access · doi:10.1109/access.2019.2949286 · Cited by 559
Methodology Update: Delphi Studies
McPherson, S., Reese, C., & Wendler, M. C. (2018) · Nursing Research · doi:10.1097/nnr.0000000000000297 · Cited by 467
Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach
Xu, Y., Yeung, J. F. Y., Chan, A. P. C., Chan, D. W. M., Wang, S. Q., & Ke, Y. (2010) · Automation in Construction · doi:10.1016/j.autcon.2010.06.006 · Cited by 428
20/20: A Vision for the Future of Counseling: The New Consensus Definition of Counseling
Kaplan, D. M., Tarvydas, V. M., & Gladding, S. T. (2014) · Journal of Counseling & Development · doi:10.1002/j.1556-6676.2014.00164.x · Cited by 338
Metadata
- Authors
- Ludwig, B.
- Venue
- Journal of Extension
- Publisher
- Clemson University
- Published
- 1997-10-01
- Volume
- 35
- Issue
- 5
- ISSN
- 0022-0140 (ISSN-L)
- OpenAlex
- W2755987722
- Cited by
- 345
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ludwig, B. (1997). Predicting the Future: Have you considered using the Delphi Methodology? Journal of Extension. https://doi.org/10.66752/1077-5315.8000
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
