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Towards a systemic framework for understanding science and technology policy formulation problems for developing countries
Author(s) -
Ryan T. B.,
Mothibi J.
Publication year - 2000
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/1099-1743(200007/08)17:4<375::aid-sres305>3.0.co;2-t
Subject(s) - emulation , productivity , set (abstract data type) , developing country , management science , spurious relationship , computer science , economics , risk analysis (engineering) , political science , business , economic growth , machine learning , programming language
The problems of developing countries are well documented and they appear to be growing in magnitude. Although science and technology (S&T) offers a glimmer of hope in dealing with problems of developing countries, policy formulation and implementation have not yielded the desired results. The reasons advanced for the failure of S&T to aid in national development tend to be fragmented and are usually based on the mechanistic worldview. This tends to perpetuate mistakes in policy formulation and implementation. A systemic framework is thus advanced in this paper to enable us to understand the problems encountered in S&T policy formulation. It is hoped that the framework will enable us to start trying to solve the right problem rather than the wrong problems advanced by mechanistic thinkers. The systemic framework advances the following set of problems as critical: inappropriate norms of a nation, inappropriate worldview, and human behavioural constraints in managing complexity. These problems manifest themselves as Kenneth Boulding's (1966) pathologies of intellectual productivity—spurious saliency, unproductive emulation, and cultural lag—resulting in ineffective S&T policy. Copyright © 2000 John Wiley & Sons, Ltd.