No abstract

No abstract

This article aims to examine scientific production about project management regarding the most expressive maturity evaluation models in organizations. The present study is descriptive and exploratory, and has adopted a bibliometric analysis of the existing bibliographical portfolio. The research was carried out in ISI/Web of Science, Scopus and Scielo databases in order to find data for the period from 2010 to 2014. Articles including the most relevant key-words were analyzed quantitatively. The analysis of the data was based on descriptive statictics and, as a result, a profile of the publications was obtained.

The Multicriteria Analysis Methodology has been developed in order to support and guide decisionmakers in the evaluation and selection of alternatives/solutions. In this case, it is used to compare alternatives for the management ballast water (BW) exchange systems and treatment methods.

ResumoEste estudo tem como objetivo principal auxiliar dois processos decisórios por meio da análise de dois estudos de caso sobre gestão de resíduos e gestão de materiais. No primeiro estuda-se a destinação de resíduos plásticos pós-consumo e, no segundo, consequências da troca do material da embalagem utilizada. Para tanto, foram definidos critérios e fatores que permitem verificar a influência das possíveis alternativas praticadas em relação à necessidade de se alcançar e manter a sustentabilidade ambiental na gestão de resíduos e materiais. Para tanto, utilizou-se como ferramenta de pesquisa a Metodologia de Análise Multicritério THOR e o software que lhe dá suporte.Palavras-chave: tomada de decisão; metodologia de análise multicritério; resíduo plástico; avaliação de impacto ambiental; sistema de apoio à decisão. AbstractThis study has as main purpose to assist two decision processes by the analysis of two case studies about waste management and material management. In the first case was considered a pos-consume plastic waste disposal and in the second one the consequences of changing the package's material. Thus, were defined criteria and factors that allow verifying the influence of the possible practiced alternatives considering the necessity of reaching and maintaining the environmental sustainability in waste and material management. This paper used as research tool the THOR Multicriteria Analysis Methodology and the respective software that gives support.

No abstract

The purpose of this paper is to analyze the results obtained by the information technology (IT) governance committee (ITGC) of a company undergoing a strategic realignment in the sorting and prioritizing of its portfolio of IT investment projects (CAPEX). The establishment of committees is one of the best practices in corporate governance, and it is often associated with the sorting and prioritizing of project alternatives, a problem typical of multicriteria decision-making (MCDM) and multicriteria decision analysis (MCDA). One of the aids to resolve this problem was the development of a methodology in steps, and a new hybrid multicriteria method consists of the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution-2 normalization (TOPSIS-2N) techniques. The application of the hybrid AHP–TOPSIS-2N model proved to be consistent and robust, generating two priority sorting possibilities aligned with the strategic situation of the organization and a range of improvements in terms of governance and processes for the ITGC of the company.

Business Intelligence (BI) has been an object of study for many researchers around the world. From collecting, treating and storing data, to systems solutions, database administration, and analysis techniques applied to various fields such as retail, call centers, financial institutions, and telecommunication. This paper aims to present a small sample of what is possible to achieve by analyzing text data from academic papers by using the software R-project. The methodology consisted of analyzing a sample of the top 35 most relevant papers regarding Business Intelligence, obtained through an academic search engine and offered the results of this text mining study.