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Credit unions play a relevant role in providing microcredit and other financial services. Because such financial cooperative organizations have drawn the attention of a significant and growing academic literature, a bibliometric study becomes essential. This study comprehensively analyzes the literature on credit unions using the leading indices for bibliometric examination: Elsevier's Scopus and Clarivate Analytics' Web of Science databases. Our searches reveal a high level of complementarity between the databases concerning the subject. Their combined use has enabled us to extensively trace the evolution of studies on the subject regarding volume and impact. We identify the major countries, journals, authors, articles, intellectual basis and topics. Further, using CiteSpace, we have mapped the networks of co-authorship, co-citations, and co-keywords in credit union research. The findings allow us to conclude that economics and business finance are the principal areas of credit union research although articles in sociology and history were also observed. Finally, by investigating contemporary co-keywords clusters and future research directions, we identify four main avenues of research: economic performance, corporate governance, accounting and disclosure and, credit union to bank comparisons regarding customer relationships and technology.

As mudanças econômicas ocorridas nos últimos anos tornaram a dinâmica do mercado brasileiro mais complexo, o que impacta diretamente na administração de grandes organizações, principalmente em tarefas de cunho gerencial, como é o caso das decisões referentes à definição da estrutura de capital. Contudo, a literatura desse campo teórico está polarizada em dois trabalhos seminais: o primeiro, de Durand (1952, 1959), aborda a existência de uma estrutura ótima de capital que maximiza o valor da firma; e, no outro extremo, o trabalho de Modigliani e Miller (1958, 1963) considera que o modo como as firmas se financiam é irrelevante. Nesse sentido, o objetivo foi verificar a efetiva interferência da estrutura de capital no desempenho das firmas brasileiras listadas na BM&FBOVESPA. A amostra se constituiu em dados de corte transversal (cross section) e foram selecionados dos últimos balanços de todas as empresas listadas na BM&FBOVESPA, disponíveis na base de dados Economática®. As técnicas utilizadas foram a análise de variância (ANOVA) e a análise discriminante. Entre os indicadores utilizados, observou-se que apenas a liquidez geral, o grau de imobilização, a Q de Tobin, e a oportunidade de crescimento, foram significativas a 1%. Os resultados encontrados indicam que a estrutura de capital não está diretamente relacionada com o desempenho das firmas brasileiras listadas na BM&FBOVESPA. Nesse ínterim, os resultados apontam para a consolidação das teorias financeiras expostas por Modigliani e Miller (1958, 1963) em oposição à corrente tradicionalista iniciada nos estudos de Durand (1952).

Literature on methods for analysing interindustry interdependence and geographical concentration of firms began to multiply since the 1990s. The aim of this paper was to systematize the literature on methods and measures applied to the analysis of industrial clusters, as well as to identify trends in this knowledge field. The method used was bibliometrics, which consisted of a frequency evaluation of the publications and the relationship network between them. It was verified an exponential increase in the number of papers that composed this area, based mainly on the theories of New Economic Geography. Recently, the literature has focused on the geographic location in relation to interindustry linkages, and the frontier of knowledge has shifted from traditional methods of regional science to areas such as spatial statistics, econophysics and artificial intelligence. There are still relevant questions being explored, as Modifiable Area Unit Problem (aggregation bias), nevertheless, spatial anisotropy (directional bias) is still neglected and indicates a new research path.

The objective of this research was to analyze the academic literature focusing on how product packaging influences consumer behavior through the use of a bibliometric study. To accomplish this, we analyzed 111

In recent years, sharing business models have emerged based on the use of technology. Thus, this study used the constructs of UTAUT2 and Network Externalities, in order to analyze how the network externality moderates the acceptance of an app used in peer-to-peer platform. A survey was conducted with 243 Uber users and data were analyzed through the structural equation modeling. As a result, it has been found that all factors influence user acceptance in a positive way. However, the network externality moderates this influence when it comes to factors as facilitating conditions, habit, and social influence.

RESUMOO estudo teve como objetivo identificar os principais indicadores econômico-financeiros determinantes em operações de fusões e aquisições (F&A) na indústria de tecnologia no Brasil, na perspectiva das empresas adquirentes. O modelo quantitativo adotado foi a Regressão Logística -Logit -, utilizando como variável dependente a ocorrência ou não de F&A e como variáveis independentes os indicadores econômico-financeiros dispostos em uma série de dados em painel, com períodos trimestrais de 2009 a 2017. Os resultados permitem inferir que os determinantes de fusões e aquisições, na ótica da empresa adquirente, situam-se no capital de terceiros (CT) e no tamanho da firma (TA). Como resultado contraditório, foram identificados o retorno sobre o patrimônio líquido (ROE), o retorno sobre o ativo (ROA), a liquidez geral (LG) e o valor econômico agregado (EVA). Observa-se que o capital de terceiros é um importante fator para que a firma financie suas atividades, enquanto o tamanho da empresa representa o aumento do total de ativos. No que se refere ao (ROA) e ao (ROE), esses podem estar sendo compensados pelo aumento do tamanho da firma. No que tange ao (EVA), houve destruição de valor aos acionistas, que pode estar relacionada ao período analisado, insuficiente para que empresas do setor industrial de tecnologia obtenham retornos em curto prazo.Palavras-chave: Fusões e aquisições; Indústria de tecnologia; Regressão logística. ABSTRACTThe purpose of this study was to analyze the main economic and financial ratio determinant in mergers and acquisitions in the technology industry in Brazil from the perspective of the ______________________________________________________________________________ Revista Contabilidade, Gestão e Governança · v. 21 · n. 3 · p.420-438 · set. /dez. 2018 421 acquiring firms. The quantitative model used was the logistic regression -Logitusing as a determinant variable the M&A event and as an independent variable the economic and financial indicators arranged in time series panel data in a series of quarterly data from 2009 to 2017. The results allowed to infer that mergers and acquisitions determinants were found from the perspective of the acquiring firm, the third-party equity (CT) and the firm size (TA). Contradictory results, statistically relevant despite negative, were identified in the return on equity (ROE), return on assets (ROA), general liquidity (LG) and the economic value added (EVA). It was observed that third-party equity is an important factor for the firm to finance its activities, while the firm size represents the increase in total firm assets. With regard to the negative (ROA) and (ROE), it appears that this may be compensated by the increase in the size of the firm. Regarding the EVA there has been a loss of value to shareholders after the M&A and this could be related to the period analyzed being insufficient for firms in the technology industry to obtain short-term returns