The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Entrepreneurial universities: A bibliometric analysis within the business and management domains
Open accessAbstract
This study presents a bibliometric analysis of scientific publications investigating entrepreneurial universities in the business and management fields. The authors collected 511 documents from the Web of Science and analysed them using Bibliometrix, an RStudio package for performance analysis and science mapping. The study aims to provide an overview of the evolution of research about this topic and describe the structures (i.e., conceptual, social, and intellectual) characterising it. It discusses the results to identify the main areas addressed so far and highlight gaps in the literature, offering avenues for possible future research. The results show that publications on entrepreneurial universities started over 30 years ago and show an increasing trend, more than tripling in the last 10 years. Considering authors and documents as a unit of analysis, the US and Europe perform well in terms of productivity and relevance, but the phenomenon is globally relevant. The contribution to socio-economic development, especially in developing countries, is a hot topic for future studies. Despite increasing production rates, research on this topic remains fragmented, justifying the need for more systematisation. Furthermore, the paper offers policy makers and practitioners a useful baseline for developing entrepreneurial universities and considering their technological, managerial, and organisational implications.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Fast unfolding of communities in large networks
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bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Co‐citation in the scientific literature: A new measure of the relationship between two documents
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Academic capitalism: politics, policies, and the entrepreneurial university
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Visualizing Bibliometric Networks
van Eck, N. J., & Waltman, L. (2014) · Measuring Scholarly Impact · doi:10.1007/978-3-319-10377-8_13 · Cited by 3,342
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011) · Journal of Informetrics · doi:10.1016/j.joi.2010.10.002 · Cited by 2,733
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The role of artificial intelligence in healthcare: a structured literature review
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01488-9 · Cited by 1,085
Ben Jabeur, S., Ballouk, H., Ben Arfi, W., & Sahut, J.-M. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113631 · Cited by 70
Digital Transformation in International Trade: Opportunities, Challenges, and Policy Implications
Mirzaye, S., & Mohiuddin, M. (2025) · Journal of Risk and Financial Management · doi:10.3390/jrfm18080421 · Cited by 86
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Metadata
- Authors
- Forliano, C., De Bernardi, P., & Yahiaoui, D.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 165
- Pages
- 120522
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3116936901
- Cited by
- 298
- References
- 94
- FWCI
- 30.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Forliano, C., De Bernardi, P., & Yahiaoui, D. (2021). Entrepreneurial universities: A bibliometric analysis within the business and management domains. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120522
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.