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https://doi.org/10.1002/smj.3001
Title: | US R&D, 1975-1998: A new dataset | Authors: | Png, Ivan PL | Keywords: | Social Sciences Business Management Business & Economics dataset location organization personnel R&D ORGANIZATION STRUCTURE INNOVATION KNOWLEDGE PATENTS |
Issue Date: | 1-May-2019 | Publisher: | WILEY | Citation: | Png, Ivan PL (2019-05-01). US R&D, 1975-1998: A new dataset. STRATEGIC MANAGEMENT JOURNAL 40 (5) : 715-735. ScholarBank@NUS Repository. https://doi.org/10.1002/smj.3001 | Abstract: | Research Summary: Here, I document the governing copyright law and process of digitizing print records with specific application to the Jaques Cattell directories of U.S. R&D. This novel dataset covers 2,805 companies with 8,525 facilities, including location, reporting line within the organization, numbers of professional staff and technicians, and R&D fields over the years 1975–1998. The dataset includes a match to the Compustat identifier, gvkey. As an illustration, I use the new dataset to investigate the effect of organization structure on innovation. By contrast with previous research based on smaller samples, I find no significant relation between organization structure and innovation. Managerial Summary: Here, I document the governing copyright law and process of digitizing print records with specific application to the Jaques Cattell directories of U.S. R&D. This novel dataset covers 2,805 companies with 8,525 facilities, including location, reporting line within the organization, numbers of professional staff and technicians, and R&D fields over the years 1975–1998. The dataset is matched to Compustat. It can be used to study novel issues including (a) the effect of complementary manufacturing and marketing assets on how a company exploits its technological capabilities; (b) the relation between the centralization of the R&D organization and productivity of innovation; (c) how clusters influence the location of R&D facilities; and (iv) how state law affects the geography of R&D. Resources: This article has earned an Open Data badge for making publicly available the digitally-shareable data necessary to reproduce the reported results. The data is available at http://five.dartmouth.edu/datasets and https://doi.org/10.25540/3wd8-dffw. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki. | Source Title: | STRATEGIC MANAGEMENT JOURNAL | URI: | https://scholarbank.nus.edu.sg/handle/10635/192269 | ISSN: | 01432095 10970266 |
DOI: | 10.1002/smj.3001 |
Appears in Collections: | Elements Staff Publications |
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2019-SMJ-R&D.pdf | Published version | 6.63 MB | Adobe PDF | OPEN | Published | View/Download |
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