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Cited by 464

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Technological innovation in the semiconductor industry: A case study of the International Technology Roadmap for Semiconductors (ITRS)

Schaller, R.·2002·PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199)

Abstract

This paper summarizes a dissertation that explores the Semiconductor Industry Association's (SIA) Technology Roadmap, now referred to as the International Technology Roadmap for Semiconductors (ITRS). It is a study of its origin, evolution, and future role in influencing industry strategies and public policies. The overall thesis is that the Roadmap is one important element of a broader industrial arrangement that has evolved from the convergence of technological, economic, institutional, and cultural factors, all hinged on the goal of sustaining historical industrial productivity-also referred to as "Moore's Law".

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Crossref · 10.1109/picmet.2001.951917

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Metadata

Authors
Schaller, R.
Venue
PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199)
Published
2002-11-13
Pages
195
OpenAlex
W1862469596
Cited by
464
References
3
Type
conference abstract
Language
en
Open access
closed

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CoChat. (2026). Citation check: Technological innovation in the semiconductor industry: A case study of the International Technology Roadmap for Semiconductors (ITRS). https://app.cochat.ai/papers/10.1109/picmet.2001.951917
The paper
Schaller, R. (2002). Technological innovation in the semiconductor industry: A case study of the International Technology Roadmap for Semiconductors (ITRS). PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199). https://doi.org/10.1109/picmet.2001.951917

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.