This research analyzes the effects of US science and technology policy on the technological performance of organizations in a global strategic alliance network. During the mid-1980s, the US semiconductor industry appeared to be collapsing. Industry leaders and policymakers moved to support and protect US firms by creating a program called Sematech. While many scholars regard Sematech as a success, how the program succeeded remains unclear. This study re-contextualizes Sematech as a network administrative organization which lowered cooperation costs and enhanced resource combination for innovation at the cutting edge. This study combines network analysis and longitudinal regression techniques to test the effects of public policy on organizational network position and technological performance in an unbalanced panel of semiconductor firms between 1986 and 2001. This research suggests that governments might achieve policy through inter-organizational innovations aimed at the development and administration of robust governance networks.
Exploring Technology Evolution Pathways to Facilitate Technology Management: From a Technology Life Cycle Perspective
Technological innovation is a dynamic process that spans the lifecycle of an idea, from scientific research to production. Within this process, there are few key innovations that significantly impact a technology’s development, and the ability to identify and trace the development of these key innovations comes with a great payoff for researchers and technology managers. In this paper, we present a framework for identifying the technology’s main evolutionary pathway of a technology. What is unique about this framework is that we introduce new indicators that reflect the connectivity and the modularity in the interior citation network to distinguish between the stages of a technology’s development. We also show how information about a family of patents can be used to build a comprehensive patent citation network. Last, we apply integrated approaches of main path analysis (MPA) -- namely global main path analysis and global key-route main analysis -- for extracting technological trajectories at different technological stages. We illustrate this approach with Dye-Sensitized Solar Cells (DSSCs), a low-cost solar cell belonging to the group of thin film solar cells, contributing to the remarkable growth in the renewable energy industry. The results show how this approach can trace the main development trajectory of a research field and distinguish key technologies to help decision-makers manage the technological stages of their innovation processes more effectively.
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- Award ID(s):
- 1759960
- PAR ID:
- 10133022
- Date Published:
- Journal Name:
- IEEE Transactions on Engineering Management
- ISSN:
- 0018-9391
- Page Range / eLocation ID:
- 1 to 13
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1109/TEM.2020.2966171
