Delphi Technique


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Related to Delphi Technique: Nominal group technique

Delphi Technique

(programming, tool)
A group forecasting technique, generally used for future events such as technological developments, that uses estimates from experts and feedback summaries of these estimates for additional estimates by these experts until reasonable consensus occurs. It has been used in various software cost-estimating activities, including estimation of factors influencing software costs.
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The ultimate goal of the Delphi technique is to achieve an unbiased consensus among experts.
Grisham (2009) states that, "The Delphi technique has been demonstrated in the literature as a reliable empirical method for consensus reaching" (The Delphi technique: a method for testing complex and multifaceted topics, p.
This study has also used Delphi technique for consensus development for OMFS syllabus for undergraduate BDS students and can be compared with other studies such as defining the dermatological content of the undergraduate medical curriculum by Clayton et al.
The Delphi technique is a structured communication technique or method, originally developed as a systematic, interactive forecasting method which relies on a panel of experts.
The Delphi technique is useful in complex situations where there may be no clear choice.
Utilizing the conventional Delphi technique described by Linstone and Turoff (1975) and Waltz, Strickland, and Lenz (2005), a series of online surveys were employed in an iterative process designed to combine expert opinion into group consensus.
On the other hand, the Delphi technique does have weaknesses.
Miller LE, 2006, Determining what could/should be: The Delphi technique and its application.
The Delphi technique aims to overcome this problem.
Agreement about the present state of the profession was obtained through a brainstorming session and a forecast of the future was generated via the Delphi technique.
Researchers at the Air Force Institute of Technology chose to employ the Delphi technique as the methodology for executing this task.
The proxies of the model are performed using a Delphi technique combined with a Cross-impact Matrix that integrates and provides for testing the sensitivity to changes in probabilities and deal with some of the disadvantages of Delphi technique as long synthesis phase, according to the study of Helmer (1977).