Firms’ internationalization through clusters: A keywords bibliometric analysis of 152 top publications in the period 2009-2018

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published 11-02-2022
Mohammad-Reza Mazandarani
Marcelo Royo-Vela

Abstract

While countless studies on the role of clusters in regional economic developments and business performance have been done, some disadvantages and limitations also have been identified. Limitations such as small local markets, limited resources, isolation, and over-independence which lead companies to a lock-in state regarding knowledge and innovation can be solved by means of internationalization or foreign market expansion. Therefore, the internationalization of clusters still needs more attention. Furthermore, by conducting a bibliometric study based on the keywords from previous research, this investigation intends to identify the principal and most influential items, their relationship, and evolution, related to this topic. This work listed the top 30 journals based on SCImago Rank (SJR) in the category of Marketing, Management, and Internationalization, to select authoritative papers on the topic of internationalization of clusters. Based on the title, time of publication (2009 to 2018), and content, 152 articles were selected. Using SciMAT software, all 584 keywords used in these articles were first categorized and then examined in terms of the networks between them, their h-index, centrality, density, and their evolution over the course of ten years (divided into two five-year periods). The results show that in the first five years, keywords such as, Network, Location-distance, and Global, have been at the core of this research topic. While in the second five year period, these keywords have yielded their position to new subjects such as Social capital, Cluster-type, and Development. Moreover, this research correspondingly confirms that the keyword bibliometric analysis produces similar results to a quantitative content analysis. These results therefore open the door to updated research questions for further and better development of the topic.

How to Cite

Mazandarani, M.-R., & Royo-Vela, M. (2022). Firms’ internationalization through clusters: A keywords bibliometric analysis of 152 top publications in the period 2009-2018. Cuadernos De Gestión, 22(1), 229–242. https://doi.org/10.5295/cdg.211483mr
Abstract 376 | PDF Downloads 153

##plugins.themes.bootstrap3.article.details##

Keywords

Clustering, Bibliometric mapping, Internationalization, Keyword analysis, SciMAT, SJR

References
Boschma, R. (2005). Proximity and innovation: a critical assessment. Regional studies, 39(1), 61-74. DOI: 10.1080/0034340052000320887
Brink, T. (2018). Organising of dynamic proximities enables robustness, innovation and growth: The longitudinal case of small and medium-sized enterprises (SMEs) in food producing firm networks. Industrial Marketing Management, 75, 66-79. DOI: 10.1016/j.indmarman.2018.04.005
Cobo, M. J., López‐Herrera, A. G. & Herrera‐Viedma (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 68(3), 1609-1630. DOI: 10.1002/asi.22688
Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E. & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402. DOI: 10.1002/asi.21525
Coimbra, D. R., Dominsk, F. H., Correia, C. K. & Andrade, A. (2019). Scientific production in Sports Science Journals: bibliometric analysis. Revista Brasileira de Medicina do Esporte, 25, 88-93. DOI: 10.1590/1517-869220192501208554
Ding, Y., Chowdhury, G. & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information processing & management, 37(6), 817-842. DOI: 10.1016/S0306-4573(00)00051-0
ECCP (2021). European Cluster Collaboration Platform. [Online] Availableat:https://clustercollaboration.eu/tags/internationalisation [Accessed 3 November 2021].
Fahimnia, B., Sarkis, j. & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101-114. DOI: 10.1016/j. ijpe.2015.01.003
Geldes, C., Felzensztein, C., Turkina, E. & Duran (2015). How does proximity affect interfirm marketing cooperation? A study of an agribusiness cluster. Journal of Business Research, 68(2), 263-272. DOI: 10.1016/j. jbusres.2014.09.034
González-Torres, T., Rodríguez-Sánchez, J. L., Montero-Navarro, A. & Gallego-Losada, R. (2020). Visualizing research on industrial clusters and global value chains: a bibliometric analysis. Frontiers in Psychology, 11, 1754. DOI: 10.1016/j.jbusres.2014.09.034
Janney, J. J. & Gove, S. (2011). Reputation and corporate social responsibility aberrations, trends, and hypocrisy: Reactions to firm choices in the stock option backdating scandal. Journal of Management Studies, 48(7), 1562-1585. DOI: 10.1111/j.1467-6486.2010.00984.x
Jia, L., Li, S., Tallman, S. & Zheng, Y. (2017). Catch‐up via agglomeration: A study of township clusters. Global Strategy Journal, 7(2), 193-211. DOI: 10.1002/gsj.1154
Juliani, F., & de Oliveira, O. J. (2016). State of research on public service management: Identifying scientific gaps from a bibliometric study. International Journal of Information Management, 36(6), 1033-1041. DOI: 10.1016/j.ijinfomgt.2016.07.003
Liao, . T. J. (2010). Cluster and performance in foreign firms: The role of resources, knowledge, and trust. Industrial Marketing Management, 39(1), 161-169. DOI: 10.1016/j.indmarman.2008.08.003
Liu, Y. & Rousseau, R. (2008). Definitions of time series in citation analysis with special attention to the h-index. Journal of Informetrics, 2(3), 202-210. DOI: 10.1016/j.joi.2008.04.003
Martínez-Fernández, M. T., Capó-Vicedo, J. & Vall (2012). The present state of research into industrial clusters and districts. Content analysis of material published in 1997–2006. European Planning Studies, 20(2), 281-304. DOI: 10.1080/09654313.2012.650906
Mojgani, P., Jalali, M. & Keramatfar, A. (2020). Bibliometric study of traumatic brain injury rehabilitation. Neuropsychological rehabilitation, 1-18. DOI: 10.1080/09602011.2020.1796714
Muñoz-Leiva, F., Viedma-del-Jesús, M. I., Sánchez-Fernández, J. & López-Herrera, A. G. (2012). An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective. Quality & Quantity, 46(4), 1077-1095. DOI: 10.1007/s11135-011-9565-3
Niñerola, A., Sánchez-Rebull, M. V. & Hernández-Lara, A. B. (2019). Tourism research on sustainability: A bibliometric analysis, Sustainability, 11(5), 1377. DOI: 10.3390/su11051377
Porter, M. (1998). Clusters and the new economics of competition. Boston: Harvard Business Review.
Porter, M. E. (2000). Location, competition, and economic development: Local clusters in a global economy. Economic development quarterly, 14(1), 15-34. DOI: 10.1177/089124240001400105
Üsdiken, B. & Pasadeos, Y. (1995). Organizational analysis in North America and Europe: A comparison of co-citation networks. Organization studies, 16(3), 503-526. DOI: 10.1177/017084069501600306
Watson IV, . G. F., Weaven, S., Perkins, H. & Sardana (2018). International market entry strategies: Relational, digital, and hybrid approaches. Journal of International Marketing, 26(1), 30-60. DOI: 10.1509/jim.17.0034
Weismayer, C. & Pezenka, I. (2017). Identifying emerging research fields: a longitudinal latent semantic keyword analysis. Scientometrics, 113(3), 1757-1785. DOI: 10.1007/s11192-017-2555-z
Section
Articles