Strategic Entrepreneurship: A Bibliometric Analysis Using R
Keywords:
entrepreneurship, bibliometric analysis, strategic entrepreneurshipAbstract
The purpose of this study is to analyse strategic entrepreneurship using a literature review and bibliometric analysis. The purpose of the study was to systematically record the intellectual structure, volume, trends in knowledge development, and significance of the author and source. Data was collected and analysed using Scopus databases using Microsoft Excel and R Studio. Based on a substantial body of literature, we compiled a searchable database of the 298 most pertinent papers from the last ten years. According to preliminary data, there may have been a rise in the number of books authored on strategic entrepreneurship between 2013 and 2022. The most significant journals, writers, and papers on the subject are identified using the bibliometric analysis using R. This study indicates that a new research topic can be developed by distilling the most important aspects of strategic entrepreneurship into a single idea, opening up new research directions for the discipline as a whole.
References
Bolaños, F. (2022). Mapping the Trending Topics of Bibliometric-enhanced Informational Retrieval. CEUR Workshop Proceedings, 3230, 61-70
Chen, X., Lun, Y., Yan, J., Hao, T., & Weng, H. (2019). Discovering thematic change and evolution of utilizing social media for healthcare research. BMC Medical Informatics and Decision Making, 19(Suppl 2). https://doi.org/10.1186/s12911-019-0757-4
Cohen, A. M., Hersh, W. R., Dubay, C., & Spackman, K. (2005). Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts. BMC Bioinformatics, 6, 1–15. https://doi.org/10.1186/1471-2105-6-103
De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/LR-06-2015-0061
Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131–152. https://doi.org/10.1007/s11192-006-0144-7
Fahimifar, S., Mousavi, K., Mozaffari, F., & Ausloos, M. (2022). Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly paper. Quality and Quantity. https://doi.org/10.1007/s11135-022-01480-z
Friedman, A. (2015). The Power of Lotka’s Law Through the Eyes of R. Romanian Statistical Review, 2, 69–77. https://link.springer.com/article/10.1007/s11365-018-0512-9#:~:text=Strategic%20entrepreneurship%20(SE)%20is%20typically,%2D%20and%20advantage%2Dseeking%20behaviors.
Justin Stoltzfus. (2020). What is Media? Retrieved January 13, 2023 from https://www.techopedia.com/definition/1098/media
Lianda Dadlana. (2021). The Growing Opportunities (and Challenges) of Social Commerce. Retrieved January 13, 2023 from https://www.plytix.com/blog/the-opportunities-and-challenges-of-social-commerce
Madli, F. B., Janin, Y., Gulabdin, S. B., Yun, W. S., Yong, K., & Abdullah, D. N. C. (2023). Technology and Entrepreneurship Development: The Perspective of Malaysia. In Handbook of Research on Designing Sustainable Strategies to Develop Entrepreneurial Intention (pp. 443-464). IGI Global.
Martínez, M. A., Herrera, M., Contreras, E., Ruíz, A., & Herrera-Viedma, E. (2015). Characterizing highly cited papers in Social Work through H-Classics. Scientometrics, 102(2), 1713–1729. https://doi.org/10.1007/s11192-014-1460-y
Matthew J. M. (2018). Strategic Entrepreneurship: Content, process, context, and outcomes
Maz-Machado, A., Madrid, M. J., Jiménez-Fanjul, N., & León-Mantero, C. (2017). Empirical examination of lotka’s law for information science and library science. Pakistan Journal of Information Management and Libraries, 19, 37–51. https://doi.org/10.47657/2017191106
Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717
Piccarozzi, M., Silvestri, C., & Morganti, P. (2021). Covid-19 in management studies: A systematic literature review. Sustainability (Switzerland), 13(7). https://doi.org/10.3390/su13073791
Rashid, S., Rehman, S. U., Ashiq, M., & Khattak, A. (2021). A scientometric analysis of forty-three years of research in social support in education (1977–2020). Education Sciences, 11(4). https://doi.org/10.3390/educsci11040149
Rusydiana, A. S., & As-Salafiyah, A. (2021). Islamic Moral Economy: A Scientometric Using R. Library Philosophy and Practice, 2021.
Salameh, J. P., Bossuyt, P. M., McGrath, T. A., Thombs, B. D., Hyde, C. J., MacAskill, P., Deeks, J. J., Leeflang, M., Korevaar, D. A., Whiting, P., Takwoingi, Y., Reitsma, J. B., Cohen, J. F., Frank, R. A., Hunt, H. A., Hooft, L., Rutjes, A. W. S., Willis, B. H., Gatsonis, C., … McInnes, M. D. F. (2020). Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): Explanation, elaboration, and checklist. The BMJ, 370(12). https://doi.org/10.1136/bmj.m2632
Van Eck, N. J., & Waltman, L. (2021). Manual de VOSviewer. Univeristeit Leiden, July. http://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.1.pdf
Visser, M., van Eck, N. J., & Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, web of science, dimensions, crossref, and microsoft academic. Quantitative Science Studies, 2(1), 20–41. https://doi.org/10.1162/qss_a_00112
Yardibi, F., Firat, M. Z., & Çetin Teke, E. (2021). Trend topics in animal science: A bibliometric analysis using CiteSpace. Turkish Journal of Veterinary and Animal Sciences, 45(5), 833–840. https://doi.org/10.3906/VET-2001-103
Downloads
Published
How to Cite
Issue
Section
Total Views: 18
| 
Total Downloads: 19
