EXTERNAL CORPORATE GOVERNANCE MECHANISMS: MERGERS AND ACQUISITIONS ON THE BRAZILIAN MARKET

The research aims to answer the following question: What is the effectiveness of mergers and acquisitions in the Brazilian market as external corporate governance mechanism? The main objective of the study is to verify if mergers and acquisitions operations in Brazilian market may act as an external mechanism of corporate governance, replacing managers and, as a consequence of changes in management, improving financial performance. The study is exploratory, qualitative in its approach, supported by documentary research on secondary data concerning an intentional sample of Brazilian companies aiming to identify the effect of M&A operations on the corporate governance structure of the acquired firm and on its financial results. Data obtained on the website of the Brazilian Securities and Exchange Commission (CVM), related to Brazilian M&A operations in the period 2005-2010, were analyzed. Although M&A operations in Brazil were found to have disciplinary nature in our sample of firms in the studied period, our results are inconclusive regarding the effectiveness of these transactions and external governance mechanisms

A INSERÇÃO DO BUSINESS INTELLIGENCE NA GESTÃO DE CUSTOS DE UMA REDE DE CLÍNICAS POPULARES DE FORTALEZA

A presente pesquisa possui como objetivo geral compreender os impactos da inserção do Business Intelligence (BI) na gestão de custos de uma rede de clínicas populares de Fortaleza. A revisão de literatura contempla, numa primeira parte, a análise do mercado de saúde privada do Brasil, e numa segunda parte, a gestão de custos contextualizada, destacando a importância da tecnologia como uma aliada à operacionalização dessa prática, explicitando o BI como uma alternativa para tal finalidade. Metodologicamente, a pesquisa foi orientada por uma abordagem de métodos mistos, com a estratégica de estudo de caso. Os resultados permitiram a análise do comportamento da eficiência em custos da organização antes, durante e após a implementação do BI, possibilitando a conclusão de que os impactos dessa inovação na gestão de custos da rede de clínicas populares estudada foram positivos

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data