Beyond the linear view of innovation in science park evaluation An analysis of Western Australian Technology Park
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Detailed evidence on how Science Parks might promote such networks appears absent from the literature.
“Detailed evidence on how Science Parks might promote such networks also appears to be absent from the literature (Phillimore, 1999).”
From Networking and innovation: a systematic review of the evidence (2004) · cites this paper as Phillimore, 1999
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Networking and innovation: a systematic review of the evidence
Pittaway, L., Robertson, M., Munir, K., Denyer, D., & Neely, A. (2004) · International Journal of Management Reviews · doi:10.1111/j.1460-8545.2004.00101.x · Cited by 1,747 · see citing works
- Authors
- Phillimore, J.
- Affiliations
- Murdoch University (AU)
- Corresponding author
- Phillimore, John
- ORCID
- Phillimore, John
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 1999-11
- Volume
- 19
- Issue
- 11
- Pages
- 673-680
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W1965419755
- Cited by
- 162
- References
- 0
- Citations by year
- 2026: 2 · 2025: 8 · 2022: 8 · 2021: 9 · 2020: 3 · 2019: 5 · 2018: 8 · 2017: 8 · 2016: 8 · 2015: 9 · 2014: 11 · 2013: 13 · 2012: 10
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technovation (publishedVersion)
- Murdoch University Research Portal (submittedVersion)
- Funders
- Curtin University of Technology
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › University-Industry-Government Innovation Models
- Social Sciences › Demography › Science, Technology, and Education in Latin America
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
- Keywords
- science parks, innovation evaluation, linear model of innovation, university-industry interaction, knowledge transfer, information networks, synergistic effect, company typology, urban regeneration
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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