Cross-national and cross-industrial comparison of two strategy approaches for global industrial evolution

Chia-Han Yang, Joseph Z. Shyu

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

This research focuses on analyzing the two prime science and technology (S&T) strategy approaches for industrial evolution based on the concept of S&T gap, namely, the optimist and pragmatist approaches. Particularly. the cases of global IC, pharmaceutical, and computer industries, are used to make cross-national and cross-industrial comparison of these two approaches. The optimist approach is developed based on the product life cycle theory which envisions technology transcending everyday limitations. With this perspective, market demand is the most critical factor in selecting the S&T strategy approaches. The pragmatist approach is formed based on the new trade theory which recognizes the power of science and technology but seeks to fit it into structures that already exist, and government must manage resources pouring into science and technology. Case studies of global IC, pharmaceutical, and computer industries during the 2nd half of the 20th century are used as research targets to reflect policy impacts on the technological evolution. The results of this study reveal that, strategy approaches have to be adapted and turned to the specific stage, technology level, and market segment that have been selected for intervention. This result of comparison also offers the criteria of strategy selection for developing different industry based on distinct national base. (C) 2008 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to) 2-25
Number of pages24
JournalTechnological Forecasting and Social Change
Volume76
Issue number1
DOIs
StatePublished - Jan 2009

Keywords

  • INNOVATIVE CAPACITY; PERSONAL COMPUTERS; FIRM SIZE; TECHNOLOGY; TAIWAN; BIOTECHNOLOGY; NETWORK; SCIENCE; POLICY; COMPETITION
  • Industrial evolution; S-T gap; Strategy approach; Pragmatist; Optimist

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