Journal
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume 76, Issue 7, Pages 952-962Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2008.12.004
Keywords
Trend Impact Analysis; Forecasting; Neural networks
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Trend Impact Analysis is a simple forecasting approach. yet powerful. within the Futures Studies paradigm. It utilizes experts' judgements to explicitly deal with unprecedented future events with varying degrees of severity in generating different possibilities (scenarios) of how the future might unfold. This is achieved by modifying a surprise-free forecast according to events' occurrences based on a Monte-Carlo simulation process. Yet. the current forecasting mechanism of TIA is static. This paper introduces a new approach for constructing TIA by using a dynamic forecasting model based on neural networks. This new approach is designed to enhance the TIA prediction process. It is expected that such a dynamic mechanism will produce more robust and reliable forecasts. Its idea is novel, beyond state of the art and its implementation is the main contribution of this paper. (C) 2009 Elsevier Inc. All rights reserved.
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