The
Delphi method: An experimental study of group opinion (No.
Q23 How satisfied are you with the overall performance (considering trade-offs between accuracy, ease of use, cost, and time) of the forecasting techniques below (scaling from "very dissatisfied" to "very satisfied" on a 5-point scale?: ARIMA (Box Jenkins) (1) Causal Multiple Regression (2) Data Mining (3)
Delphi method (4) Holt's exponential smoothing (5) How to combine forecasts (6) Jury of executive opinions (7) Linear regression trends (8) Moving averages (9) Naive method (10) Sales force composite (11) Simple exponential smoothing (12) Text Mining (13) Time series decomposition (14) Winters' exponential smoothing (15) Other: (16)
Stage 2: Refining and Identifying the Factors Influencing WCBS by Using the Modified
Delphi MethodAs a result of the construction of the "tree", based on the results of the expert survey carried out using the
Delphi method, the following conclusions can be drawn:
The
Delphi method is characterized by an iterative process of questioning and controlled feedback to generate consensus among an expert panel (Linstone & Turoff, 1975).
On the basis of Fuzzy
Delphi method, Chen (2014) studied mobile ads setup.
* Application of the
Delphi method for comprehensive identification of sustainability indicators together with a group of experts from the tourism sector
The results obtained in primary research were verified using the
Delphi method. The
Delphi method is considered as the method of collecting expert views through repeated interviews with controlled feedback.
The
Delphi method seeks to aggregate independent perspectives from a diverse group.
In general, the
Delphi method relies on the assumption that, unlike individual forecasts, group-based forecasts provide greater accuracy.
Trying the
Delphi Method. The
Delphi method has long been advocated in literature about public-sector revenue forecasting, but it can be used for other decision-making situations as well.