Using structural equation modeling: patterns and trends of publications in Brazilian journals

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Artigo de revisão
Data
2018-07-31
Autores
RIVERA, J.R.D.
JACOMOSSI, R. R.
BARRICHELLO, A.
MORANO, R.S.
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Periódico
Revista de Gestao
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Citação
RIVERA, J.R.D.; JACOMOSSI, R. R.; BARRICHELLO, A.; MORANO, R.S. Using structural equation modeling: patterns and trends of publications in Brazilian journals. Revista de Gestao, v.25, n. 3, p. 291-302, 2017.
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Purpose: The purpose of this paper is to analyze patterns and trends of articles that present the use of structural equation modeling (SEM) and that were published in several Brazilian journals. In addition, this paper maps the institutions where the authors of the identified articles are affiliated, and discusses aspects of searching the articles in journals’ archives and other scientific databases. Design/methodology/approach: The work used bibliometrics, which is one of the forms of evaluation and measurement of information flows in scientific knowledge, using mathematical and statistical methods. Findings: The study showed an exponential growth in using SEM in several areas in recent years, with predominance in marketing. Most of the publications were produced by authors from institutions such as USP, FGV and UFRGS, but most authors published only one article using SEM. Almost all published articles used one of the three most common software, especially AMOS®. Surprisingly, many articles did not mention the software used, indicating methodological flaw. Practical implications: Weaknesses were found regarding the search for articles in the different sources used, indicating that, for literature reviews, the research should be conducted in several databases in a complementary way and not alternatively. This fact becomes critical especially when expressions in languages other than Portuguese were used. This situation suggests an aggravating lack of visibility for the Brazilian scientific community since the articles are less likely to be found. Originality/value: The paper shows that among the various techniques of multivariate data analysis used in the field of administration, SEM has gained prominence being operationalized using specific software.

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