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Measuring the Position and Differentiation of Firms in Technology Space

Authors: Arts, Sam; Cassiman, Bruno; Hou, Jianan;

Measuring the Position and Differentiation of Firms in Technology Space

Abstract

This website describes data collection, processing, and different open access data files related to measuring the position and differentiation of firms in technology space. The document "0_Data Description Zenodo.pdf" below provides more details. If you use the code or data, please cite the following paper: Arts S, Cassiman B, Hou J (2023). Position and Differentiation of Firms in Technology Space. Management Science 69 (12): 7253-7265. https://doi.org/10.1287/mnsc.2023.00282 The data matching U.S. public firms to U.S. patents comes from the DISCERN patent database (available from: https://zenodo.org/record/3709084). Please cite the following paper if you use this data: Arora A, Belenzon S, Sheer L (2021) Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. Research Policy 50(5):104217.

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Keywords

patent, NLP, firm technology portfolio, technology space

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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