How to strengthen strategic decision-making with reliable technological forecasts? Numerous quantitative methods are available for predicting future demands and short-term changes. These methods, however, have limited application for such a question. The need is to combine the advantages of qualitative methods and explorative qualitative methods for long-range technological forecasting. A structured methodology can be applied for this purpose. In this course, you will learn a combination of the technique “Extrapolation with S-curves” and a network of problems using practical case studies. INTENDED AUDIENCE : Post-Graduate PREREQUISITES : Data Management Skills INDUSTRIES SUPPORT : Many industries and institutes recognize the need for technology forecasting, e.g. - manufacturing, ICT
Technology Forecasting for strategic decision making - An Introduction
Université de Strasbourg , Indian Institute of Technology Madras and NPTEL via Swayam
This course may be unavailable.
Overview
Syllabus
Week 1: Introduction to Technology Forecasting (TF)Week 2: Case Studies and Structure of the Course - introduce models (using process)Week 3: Setup of a TF Project (introduce process - using models from Week 2)Week 4: Qualitative Forecast, Quantitative Forecast and Wrap Up
Taught by
Prof. Bala Ramadurai, Prof. Dmitry KUCHARAVY
