EconPapers    
Economics at your fingertips  
 

Adaptive foresight modular design and dynamic adjustment mechanism: Framework and Taiwan case study

Hao-Chu Lin, Pin Luarn, Ren-Horng Maa and Chao-Wen Chen

Technological Forecasting and Social Change, 2012, vol. 79, issue 9, 1583-1591

Abstract: In response to future external environmental challenges and to foster a consensus on national development, over the past 30years developed and developing countries have endeavored to set a national direction for development and allocation of R&D resources through a standardized operational model on foresight projects. However, major national foresight programmes that have a 4–5year cycle have encountered many challenges. These challenges include prolonged planning time, resulting in not keeping pace with the ever-changing environment, massive resource investment unsuitable for countries with limited resources, and bottlenecks such as inoperability of the planning processes connected to follow-up project promotion. In this article, we propose a dynamic modular design perspective to overcome such difficulties and demonstrate the process and achievements of foresight planning using the Taiwan Industry and Advanced Technology Research Project as an example. Our research results can serve as a reference in national technology foresight planning for developing countries with limited resources in the rapidly changing technology development environment.

Keywords: Technology foresight; Dynamic planning; Adaptive planning; Modular design; Taiwan (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162512001680
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:79:y:2012:i:9:p:1583-1591

DOI: 10.1016/j.techfore.2012.06.010

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:79:y:2012:i:9:p:1583-1591