Governance in clusters: a systematic literature review

Paulo Vanderlei Cassanego Junior et al.

International Journal of Business Innovation and Research2026https://doi.org/10.1504/ijbir.2026.152082article
AJG 1
Weight
0.50

What the paper says

The study's objective is to analyse the state-of-the-art research on governance in clusters. Studies in 'business, management, and accounting' of the Scopus and Web of Science databases were mapped and analysed. The analyses arranged in this work were conducted through the three bibliometrics laws: Lotka's, Bradford's and Zipf's. The descriptive character analysis of the textual Corpus of the research revealed a total of 91 articles. Iramuteq and VOSviewer software were used. Concerning this research, it was verified that 14 authors formed the elite of the textual Corpus. Regarding the reputation of journals, the first zone includes nine journals that would be the most productive. It was possible to verify that most periodicals were distributed in four countries: the UK, the USA, the Netherlands, and Canada. Regarding the term cluster governance, it was found to be linked to the term industrial cluster.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijbir.2026.152082

Or copy a formatted citation

@article{paulo2026,
  title        = {{Governance in clusters: a systematic literature review}},
  author       = {Paulo Vanderlei Cassanego Junior et al.},
  journal      = {International Journal of Business Innovation and Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbir.2026.152082},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Governance in clusters: a systematic literature review

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.