Methods or Techniques of Technology Forecasting
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Transcript of Methods or Techniques of Technology Forecasting
Methods or Techniques of
Technological Forecasting
INTRODUCTION MIT and MIST started a collaborative research
project called “Technological Forecasting using Data Mining and Semantics” (TFDMS) Four elements of forecast require specification. “tech-mining”
Articles relating to Future-oriented Technology Analysis appearing in Web of Science
Leading FTA Journals:
Technological Forecasting & Social ChangeInternational Journal of Technology ManagementFuturesResearch--Technology ManagementAbstracts of Papers, American Chemical SocietyTechnovationJournal of Cleaner ProductionJournal of ForecastingR & D ManagementSolid State TechnologyTechnology Analysis & Strategic Management
METHODS OR TECHNIQUES
Qualitative Vs Quantitative Methods
Exploratory : 1. Technology Monitoring Having good Scanning and Intelligence System It is the process of scanning the environment
for information about the subject of forecast. “environmental scanning can be thought of as
the central input to futures research.” The sources of information are indentified and
then information is gathered, filtered, processed and structured for using forecasting.
The method is simple and give quick results. Sometimes, information overload may result in
confusion and delays. There should not be difficult and costly to
gather information.
2. Trend Analysis It uses mathematical
and statistical techniques to extent time series data in the future
Trend analysis is a broad term that encompasses economic forecasting models and techniques such as regression, exponential smoothing and growth curve fitting
3. Expert Opinion It collects opinion of chosen experts in a
particular area and arrives at a forecast This methods include forecasting or
understanding technological development via intensive consultation with subject matter experts.
Identify experts in an area exist, data are lacking and difficult to identify a model
Forecasting may be wrong when questions posed to them are ambiguous and unclear
4. Delphi Technique It was originally developed at Ran Corporation of
the USA in the late 1940s by Olaf Helmer It consist of an attempt to arrive at a consensus
in an uncertain area by questioning a group of experts repeatedly.
Leader first supplies questions to the experts who are located at different places for their response
Each expert is given the opportunity to react to the information or considerations advanced by others.
It reduces Helo Effect, Bandwagon Effect and Ego Involvement with publicity expressed opinion
5. Scenario Development A set of snapshot of some aspect of the future
situation They encompass the believable range for
chosen aspect A set on imaginative descriptions are
developed based on qualitative and quantitative data
It mixes imagination, intuition and scientific data analysis
They are most useful on forecasting and in communicating complex, highly uncertain situations to non-technical audience.
Normative : 1. Dynamic Modeling
A model is a simplified representation of some part of the real world
Models range from flow diagrams, simple equations, and scale models, to sophisticated computer simulations
Model can exhibit the future behavior of complex systems simply by isolating important system aspects from unessential details
2. Cross Impact Analysis
Researchers identify a set of key trends those with high importance or probability
If event A occurs, what will be the impact on all other trends ?
The success of the method depends on the choice of events which are related, also the ability to interpret the developments is important
3. Morphological Analysis
It was developed by the well – known Swiss astronomer wicky in his work in the field of jet engines
An attractive characteristic of morphological research is the assessment of the likelihood that a future technology will be realized ( or a square in the morphological box)
All solutions of the morphological box should be examined for their feasibility and analyzed and evaluated with respect to the purposes to be achieved
4. Series Indicators
Each company establishes favorite indices of those general economic conditions most relevant to its product/technology category.
These indices should be examined for any indicators that may affect the life of the technology
There are three general categories of indicators as given under
1. Leading Indicators
2. Simultaneous (Coincident) Indicators
3. Lagging Indictors
Choosing a Forecasting Technique
No single technique works in every situation
Two most important factors Cost Accuracy
Other factors include the availability of: Historical data Computers Time needed to gather and analyze the
data Forecast horizon
THANK YOU