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Cited by 43Entrepreneurship Studies and InfluencesUniversity-Industry-Government Innovation ModelsScience, Technology, and Education in Latin America

The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.

Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: A systematic literature review

Open access
Romero-Sánchez, Alexander, Perdomo-Charry, Geovanny, Burbano-Vallejo, Edy Lorena·2024·Heliyon
DOI 10.1016/j.heliyon.2024.e27258PMC PMC11489156

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Abstract

Research into the factors influencing university-industry collaboration on public university spin-offs creation has focused on management, entrepreneurship, technology and innovation. This research began with a careful systematic literature review of 4427 scientific papers published in the last ten years (2014-2023) and accessible in the prestigious Web of Science core collection. A quantitative methodology was used, complemented by the use of the visual analysis tool Posit PBC™, formerly known as R Cloud Studio. This comprehensive approach facilitated the seamless ingestion of raw data into Biblioshyni, which is a web-based platform specialised in bibliometric analysis. This review has revealed compelling trends, particularly in terms of increasing diversity, the emergence of United Kingdom as a major player, and the central role of university-industry collaboration. Our systematic review identified influential authors in the field, including the prolific contributions of scholars such as D. Radicid, S. Ropers, Y. Li and R. Owen. We also identified important research institutions, such as Utrecht University in Netherlands, Lund University in Sweden and The University of Manchester in the UK. In addition, we have shown that countries such as the United Kingdom, China and USA have made a significant contribution to the volume of publications. The results highlighted a marked increase in the phenomenon of univeristy spin-offs over the past decade, as evidenced by the exponential growth in both publication output and citation rates. This empirical revelation was underpinned by a rigorous exploration of the Web of Science database, using a carefully crafted set of keywords. Thirty-seven pivotal studies were selected for in-depth review through a sophisticated selection process that adhered to the rigorous standards of the PRISMA methodology. The aim of this review is to improve understanding and encourage deeper exploration of spin-off-based public universities through collaboration between academia and industry.

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Crossref · 10.1016/j.heliyon.2024.e27258

Cites

111 of 111 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Diagram of the PRISMA statement and the steps involved in identifying bibliographic data and refining searches. Source: Modified from Haddaway et al. [47].
Fig. 1 Diagram of the PRISMA statement and the steps involved in identifying bibliographic data and refining searches. Source: Modified from Haddaway et al. [47].CC BY · PubMed Central
Fig. 2 Core sources by Bradfords' Law and the ten most relevant sources identified in our study.
Fig. 2 Core sources by Bradfords' Law and the ten most relevant sources identified in our study.CC BY · PubMed Central
Fig. 3 Sources dynamics of production over the period 2014–2023 in the field of UIC in public USOs.
Fig. 3 Sources dynamics of production over the period 2014–2023 in the field of UIC in public USOs.CC BY · PubMed Central
Fig. 4 The “three field plot”. A triptych visualisation of UIC in USOs creation: Country of origin of the most relevant authors, prominent authors and keywords-plus identified in our study.
Fig. 4 The “three field plot”. A triptych visualisation of UIC in USOs creation: Country of origin of the most relevant authors, prominent authors and keywords-plus identified in our study.CC BY · PubMed Central
Fig. 5 Geographical distribution of corresponding authors in university-industry collaboration within university spin-offs: Single country vs. Multiple country publications.
Fig. 5 Geographical distribution of corresponding authors in university-industry collaboration within university spin-offs: Single country vs. Multiple country publications.CC BY · PubMed Central
Fig. 6 The dynamics of international cooperation in the creation of USOs through UIC.
Fig. 6 The dynamics of international cooperation in the creation of USOs through UIC.CC BY · PubMed Central
Fig. 7 The most relevant authors based on the number of publications on UIC in USOs.
Fig. 7 The most relevant authors based on the number of publications on UIC in USOs.CC BY · PubMed Central
Fig. 8 Author productivity on UIC in USOs through Lotka's law.
Fig. 8 Author productivity on UIC in USOs through Lotka's law.CC BY · PubMed Central
Fig. 9 Trend topics ranged from 2014 to 2023 in the field of public USOs creation and UIC.
Fig. 9 Trend topics ranged from 2014 to 2023 in the field of public USOs creation and UIC.CC BY · PubMed Central
Fig. 10 Conceptual structure map based on the MCA method showing transitions, patterns and spillovers of the occurrence of UIC in public USOs creation from 2014 to 2023.
Fig. 10 Conceptual structure map based on the MCA method showing transitions, patterns and spillovers of the occurrence of UIC in public USOs creation from 2014 to 2023.CC BY · PubMed Central
Fig. 11 The comprehensive landscape of keyword co-occurrence network on University spin off and UIC. a) The co-occurrence network centered on “social capital”; b) The co-occurrence network centered on “innovation”; c) The co-occurrence network centered on “knowledge transfer”; d) The co-occurrence network centered on “third mission of the university”.
Fig. 11 The comprehensive landscape of keyword co-occurrence network on University spin off and UIC. a) The co-occurrence network centered on “social capital”; b) The co-occurrence network centered on “innovation”; c) The co-occurrence network centered on “knowledge transfer”; d) The co-occurrence network centered on “third mission of the university”.CC BY · PubMed Central

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Citations

Cites

Show all 111 references

Research works printed but not linked: 3

  1. Eshackathon, 2020, R package and Shiny App for making PRISMA 2020 flow diagrams, An Event Series to Develop Open Software for Evidence Synthesis 2022
  2. Kör, 2017, vol. 46, 18
  3. Perdomo Charry, 2022, How a network-based start-up ecosystem supports new venture performance: management perspectives and future research, Int. J. Enterpren., 26, 1

Metadata

Authors
Romero-Sánchez, A., Perdomo-Charry, G., & Burbano-Vallejo, E. L.
ORCID
Romero-Sánchez, Alexander
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-10
Volume
10
Issue
19
Pages
e27258
ISSN
2405-8440 (ISSN-L)
DOI
10.1016/j.heliyon.2024.e27258
PMC
PMC11489156
OpenAlex
W4392380603
Cited by
43
References
111
Citations by year
2026: 20 · 2025: 15 · 2024: 8
FWCI
5.13
Type
journal article
Language
en
Open access
Licence
Locations
  • Heliyon (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Library (University of San Buenaventura Colombia) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • PhilPapers (PhilPapers Foundation) (submittedVersion)
  • Greater South Information System
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Entrepreneurship Studies and Influences
  • 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
Keywords
university spin-offs, university-industry collaboration, university entrepreneurship, public universities, technology transfer, innovation, bibliometric analysis, research trends

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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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CoChat. (2026). Citation check: Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: A systematic literature review. https://app.cochat.ai/papers/10.1016/j.heliyon.2024.e27258
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Romero-Sánchez, A., Perdomo-Charry, G., & Burbano-Vallejo, E. L. (2024). Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: A systematic literature review. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e27258

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.