![]() As occurred in the research of Andrighi et al. This implies that the topic of cooperation is more linked to a vision of strategy. In turn, “network” (49), “alliance” (18) and “cluster” (9) were the “main term” most used in the articles. “Cooperation” (29), “competitiveness” (27), “knowledge” (12), “learning” (6) and “trust” (3) were the “constructs” used to compose the 77 articles analyzed. These constructs are related to the theme of networks and were the most recurrent in the articles analyzed. It should be noted that all the analyzed journals have in common the fact of addressing the themes of management and administration and, more specifically, making room for the “competitiveness” and “cooperation” constructs. The journals BAR and RBGN stand out because they are in the nuclear zone, even though they were not considered in the work of Andrighi et al. The journal RAC stands out for having been the one that has increased its annual average of publication in relation to the theme, when compared with the findings of Andrighi et al. The so-called nuclear zone ( Brookes, 1969 Novaretti et al., 2015) is composed of the journals Brazilian Administration Review ( BAR), Revista de Administração Contemporânea (RAC), Revista de Administração Pública ( RAP) and Revista Brasileira de Gestão de Negócios (RBGN). The standard “success breeds success”, suggested by the Bradford’s Law, was not confirmed. ![]() (2011) have influenced others to publish on the subject, as suggested by the Bradford’s Law. The present study was not able to verify if the journals analyzed by Andrighi et al. By avoiding occasional terms, a more intelligible cloud was obtained. It has been used for the keywords of the 77 articles analyzed however, it has been decided to keep those that presented frequency greater than or equal to two. The noticed advantage of using this extension is that it does not separate the terms that form a keyword when generating the cloud. At last, a word cloud was created using the Wordcloud 2.5 extension ( Fellows, 2013). (2010) suggest that an analysis should be performed from the hierarchical tree, thus the number of clusters can be defined considering the overall appearance (or shape) of the tree formed. The function allows forming as many clusters the researcher wishes, being of its attribution to analyze a division that best represents the characteristics of the data ( Husson, Josse, and Pagès, 2010). This function allows creating clusters from the characteristics of the articles analyzed and highlights the justifications for the groupings created. By using the FactoMineR 1.34 extension, the hierarchical clustering on principal components (HCPC) function was used ( Husson et al., 2007 Lê et al., 2008). The characteristics considered for carrying out MCA were the “main term”, “research approach”, “type of research”, “constructs” and “research strategies”. In the present research, multiple CA (MCA) was applied – indicated when the elements are described as categorical variables ( Lê et al., 2008). This extension is dedicated to the multivariate analysis of data and allows the manipulation of different types of variables (quantitative or categorical). CA is a multivariate exploratory technique that converts a data matrix into a graphical representation, so that rows and columns are represented by points in a graph ( Greenacre and Hastie, 1987). Correspondence analysis (CA) was also performed. This extension is able to manipulate networks with millions of vertices and edges and provides a series of functions to analyze the properties of social networks, such as subnetworks, intermediation, centrality, among other characteristics ( Csárdi and Nepusz, 2006). The IGRAPH 0.5.5-2 extension (package) was used to analyze graphs and co-authorship networks ( Csárdi and Nepusz, 2006). ![]() The R 3.3.2 and R Studio 1.0.136 software were used. It has been identified that 77 articles were published in eight journals. The procedures suggested by Crossan and Apaydin (2010) for conducting bibliometric studies were adopted. However, it was decided to analyze ten of them. In total, 12 “A” concept journals were identified. This paper uses national journals with Concept “A” of the Qualis classification (2016) for journal selection.
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