Innovation Lodestar: The entrepreneurial university in a stellar knowledge firmament
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The idea to conceive of universities as smart, capitalized, innovative, problem-solving providers, as suggested by Etzkowitz, is portraying the end of one turn at the crossroads.
“The idea to conceive of universities as smart, capitalized, innovative, problem-solving providers, as suggested by Etzkowitz (2017), is portraying the end of one turn at the crossroads.”
From Transdisciplinarity: science for and with society in light of the university’s roles and functions (2020) · cites this paper as Etzkowitz 2017
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Transdisciplinarity: science for and with society in light of the university’s roles and functions
Scholz, R. W. (2020) · Sustainability Science · doi:10.1007/s11625-020-00794-x · Cited by 105 · see citing works
- Authors
- Etzkowitz, H.
- Corresponding author
- Etzkowitz, Henry
- ORCID
- Etzkowitz, Henry
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 123
- Pages
- 122-129
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2410439081
- Cited by
- 170
- References
- 37
- Citations by year
- 2026: 13 · 2025: 7 · 2024: 13 · 2023: 20 · 2022: 23 · 2021: 24 · 2020: 34 · 2019: 18 · 2018: 15 · 2017: 2 · 2016: 1
- FWCI
- 23.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › University-Industry-Government Innovation Models
- Social Sciences › Safety Research › Human Resources and Workforce
- Social Sciences › Demography › Science, Technology, and Education in Latin America
- Keywords
- entrepreneurial university, triple helix, university-industry-government relations, Humboldtian model, knowledge-based regional development, innovation, MIT, Stanford University, knowledge capitalization
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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