Crowdfunding: An end of an era, or a course correction? A bibliometrics analysis.
DOI:
https://doi.org/10.70009/jels.2025.2.1.5Keywords:
Crowdfunding, Finance, Entrepreneurship, Bibliometrics, Fintech, InvestmentAbstract
Writing and publishing on crowdfunding has been booming since it began in 2010, till it showed its first decline in 2020. Bibliometric analyses of crowdfunding literature are very few, and the existing ones did not investigate the decline, nor did they try to understand the direction it was taking. Using bibliometric network analysis on Scopus data from 2010-2024, we investigate whether this decline represents a natural evolution of scholarly attention or signals a paradigm shift in the field. Through the lens of Kuhn's paradigm shift theory and citation lifecycle frameworks, we analyze co-authorship networks, citation patterns, and thematic evolution before and after 2020. Our findings reveal three distinct phases in crowdfunding research: emergence (2010-2015), consolidation (2016-2019), and transformation (2020-2024), with the latest phase characterized by greater fragmentation and a shift from financial mechanisms toward sustainability applications. This analysis provides critical insights for researchers, journal editors, and funding agencies navigating the evolving crowdfunding knowledge landscape. We also noted the underutilization of network science by researchers and have made some recommendations to remedy that in order to get better results in future analyses.
References
Aysan, A. F., Demirtas, H. B., & Sarac, M. (2021). The ascent of bitcoin: Bibliometric analysis of bitcoin research. Journal of Risk and Financial Management, 14(9), 427. https://doi.org/10.3390/jrfm14090427
Beaver, D. D., & Rosen, R. (1979). Studies in scientific collaboration: Part II: Scientific co-authorship, research productivity and visibility in the French elite. Scientometrics, 1(2), 133-149. https://doi.org/10.1007/BF02016966
Belleflamme, P., Lambert, T., & Schwienbacher, A. (2013). Individual crowdfunding practices. Venture Capital: An International Journal of Entrepreneurial Finance, 15(4), 313-333. https://doi.org/10.1080/13691066.2013.785151
Belleflamme, P., Lambert, T., & Schwienbacher, A. (2014). Crowdfunding: Tapping the right crowd. Journal of Business Venturing, 29(5), 585-609. https://doi.org/10.1016/j.jbusvent.2013.07.003
Buttice, V., & Ughetto, E. (2021). What, where, who, and how? A bibliometric study of crowdfunding research. IEEE Transactions on Engineering Management, 68(6), 1-22. https://doi.org/10.1109/TEM.2021.3054297
Chen, C., Chen, Y., Horowitz, M., Hou, H., Liu, Z., & Pellegrino, D. (2009). Towards an explanatory and computational theory of scientific discovery. Journal of Informetrics, 3(3), 191-209. https://doi.org/10.1016/j.joi.2009.03.004
Davidson, F. J., & Carpenter, M. P. (1979). International research collaboration. Social Study of Science, 9(4), 481-497. https://doi.org/10.1177/030631277900900405
Duvvuru, A., Kamarthi, S., & Sultornsanee, S. (2012, May 30-June 1). Uncovering research trends: Network analysis of keywords in scholarly articles. In 2012 9th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 265-270). IEEE. https://doi.org/10.1109/JCSSE.2012.6261965
Duvvuru, A., Radhakrishnan, S., More, D., Kamarthi, S., & Sultornsanee, S. (2013). Analyzing structural & temporal characteristics of keyword system in academic research articles. Procedia Computer Science, 20, 439-445. https://doi.org/10.1016/j.procs.2013.09.300
Garfield, E. (1980). Premature discovery or delayed recognition–why? Essays of an Information Scientist, 4, 488-493.
Kajikawa, Y., & Takeda, Y. (2009). Citation network analysis of organic LEDs. Technological Forecasting and Social Change, 76(9), 1115-1123. https://doi.org/10.1016/j.techfore.2009.04.004
Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10-25. https://doi.org/10.1002/asi.5090140103
Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.
Merton, R. K. (1968). The Matthew effect in science. Science, 159(3810), 56-63. https://doi.org/10.1126/science.159.3810.56
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1), 1-16. https://doi.org/10.1016/j.jbusvent.2013.06.005
Montoya, F. G., Alcayde, A., Baños, R., & Manzano-Agugliaro, F. (2018). A fast method for identifying worldwide scientific collaborations using the Scopus database. Telematics and Informatics, 35(1), 168-185. https://doi.org/10.1016/j.tele.2017.10.010
Nakamoto, H. (1988). Synchronization of citing and cited literature. Informetrics, 87(88), 157-163.
Peirce, C. S. (1931-58). Collected papers. Harvard University Press.
Pottier, B. (1965). La definition semantique dans le dictionnaires. Travaux De Linguiustique Et De Litterature, 3(3), 33-40.
Price, D. J. de S. (1963). Little science, big science. Columbia University Press.
Reverte, C., & Badillo, R. (2019). Alternative equity financing for entrepreneurial ventures: A bibliometric analysis of research in the last three decades. Current Science, 116(6), 926-935. https://doi.org/10.18520/cs/v116/i6/926-935
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Rubinton, B. J. (2011). Crowdfunding: Disintermediated investment banking. MPRA Munich Personal RePEc Archive, Paper No. 31649. https://mpra.ub.uni-muenchen.de/31649/
Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2011). Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications. Technological Forecasting and Social Change, 78(2), 274-282. https://doi.org/10.1016/j.techfore.2010.07.006
Shibata, N., Kajikawa, Y., & Sakata, I. (2010). Extracting the commercialization gap between science and technology - Case study of a solar cell. Technological Forecasting and Social Change, 77(7), 1147-1155. https://doi.org/10.1016/j.techfore.2010.03.008
Small, H. (1973). Co-citation in scientific literature: A new measure of relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269. https://doi.org/10.1002/asi.4630240406
Small, H. (2006). Tracking and predicting growth areas in science. Scientometrics, 68(3), 595-610. https://doi.org/10.1007/s11192-006-0132-y
Tomczak, A., & Brem, A. (2013). A conceptualized investment model of crowdfunding. Venture Capital: An International Journal of Entrepreneurial Finance, 15(4), 335-359. https://doi.org/10.1080/13691066.2013.847614
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
Vismara, S. (2019). Sustainability in equity crowdfunding. Technological Forecasting and Social Change, 141, 98-106. https://doi.org/10.1016/j.techfore.2018.07.014
Zhang, L., & Glänzel, W. (2012). Where demographics meets scientometrics: Towards a dynamic career analysis. Scientometrics, 91(2), 617-630. https://doi.org/10.1007/s11192-011-0590-8
Zhang, W., Zhu, Y.-C., & Wu, X.-L. (2018, July 28-30). A bibliometric analysis of crowdfunding related research: Current trends and future prospect. In Proceedings of the 2018 2nd International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS 2018) (pp. 1-7). Association for Computing Machinery. https://doi.org/10.1145/3180374.3181331
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