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The purpose of this paper is to seek to fill the gaps found in the literature to understand why and how the partnerships are formed and to map the dynamics of partnership networks of Brazilian electricity companies.

To map the dynamics of partnership networks formed by the Brazilian electricity companies, a social network analysis technique was adopted: R statistical software was used to make calculations and plot these networks.

It was found that the partnership network had a clear potential for an increase in the number of projects; however, the partnerships for the execution of such projects were dispersed. Although the concessionaires established partnerships with diverse institutions, the latter did not intercommunicate. Moreover, when analyzing the projects with respect to the project-type investigated, the institutions engaged in specific project types can be identified; thus, there is an opportunity for concessionaires, authorized contractors and licensed companies to identify the best partners, i.e. those that already possess the expertise to execute specific projects in future partnerships.

The purpose of this paper is to fill the gap in partnership network development dynamics to understand how such networks form, change and evolve over time.

Tentar preencher as lacunas encontrada na literatura, entender o porquê e como as parcerias ocorrem e também mapear a dinâmica da rede de parcerias estabelecida pelas empresas elétricas brasileiras.

Para mapear a dinâmica das redes de parceria formada pelas empresas do Setor Elétrico Brasileiro, foi adotada a Técnica de Análise de Rede Social com o apoio do Pacote Estatístico R para fazer cálculos e desenhar essas redes.

Os resultados apontaram para o fato de que a Rede teve um potencial aumento no número de projetos, no entanto, as parcerias para a execução de tais projetos foram dispersas. As concessionárias estabeleceram parcerias com diversas instituições, mas estas não se comunicaram entre si. Além disso, ao analisar os projetos em relação aos temas desenvolvidos, é possível identificar as instituições envolvidas em temas de projetos específicos, o que cria uma oportunidade para concessionárias, contratadas e empresas licenciadas para identificar os melhores parceiros, aqueles que já possuem certas competências para executar projetos específicos em futuras parcerias.

Este artigo pretende preencher a lacuna em relação à dinâmica de desenvolvimento da rede, entendendo assim a forma como elas se desenvolvem, mudam e evoluem ao longo do tempo.

Intentar llenar las lagunas encontradas en la literatura, entender el por qué y cómo las alianzas ocurren y también mapear la dinámica de la red de alianzas establecida por las empresas eléctricas brasileñas.

Para mapear la dinámica de las redes de asociación formada por las empresas del Sector Eléctrico Brasileño, se adoptó la Técnica de Análisis de Red Social con el apoyo del Paquete Estadístico R para hacer cálculos y diseñar esas redes.

Los resultados apuntaron al hecho de que la Red tuvo un potencial aumento en el número de proyectos, sin embargo, las alianzas para la ejecución de tales proyectos fueron dispersas. Las concesionarias establecieron alianzas con diversas instituciones, pero éstas no se comunicaron entre sí. Además, al analizar los proyectos en relación a los temas desarrollados, es posible identificar a las instituciones involucradas en temas de proyectos específicos, lo que crea una oportunidad para concesionarias, contratistas y empresas licenciadas para identificar a los mejores socios, aquellos que ya poseen ciertas competencias para realizar proyectos específicos en futuras alianzas.

Este artículo pretende llenar la brecha en relación a la dinámica de desarrollo de la red, entendiendo así la forma en que se desarrollan, cambian y evolucionan a lo largo del tiempo.

The purpose of this paper is to investigate the voluntary horizontal M&A impact on operating performance in Nigeria between 1995 and 2012 under different complementary approaches.

Residual income valuation (RIV), economic value-added (EVA), data envelopment analysis (DEA) and stochastic frontier analysis (SFA).

Results showed a statistically significant improvement in the technical efficiency of both bidder and target companies, the reduced efficiency levels of the bidder firms under DEA scores reveals the specifics of the productive technology. This may suggest that resulting merged companies in Nigeria may have not even become too big in scale or even reached the most productive scale size, despite their almost monopolistic position in the sector. This happens because the scale size of the sector is small per se, implying that the investments necessary to achieve synergistic gains have to be partially covered by price increases.

This study will guide both the M&A practitioners, investment banks, and the policy makes. In terms of having to review M&A policy as well as seeing to the improvement in the infrastructural needs.

With improved performance, employment can be created thereby giving employment to the youths. This will reduce social problems.

From the literature and records, no long-term operating performance on voluntary mergers and acquisitions has not been carried out in Nigeria. The paper seeks to know the fundamental value of the firms after these transactions with the current methodology that is acceptable from the literature.

This paper aims to assess and prioritize manufacturing companies in the healthcare industry based on critical success factors (CSFs) of their reverse logistics (RL). The research involves seven medical device companies located in the Tehran Province, Iran.

To identify and prioritize companies based on CSFs of RL, the study proposes a three-phase decision-making framework that integrates the Delphi method, the best-worst method (BWM) and the Additive Ratio Assessment (ARAS) method with Z-numbers. The weights required for this method are obtained by a variant of the BWM based on Z-numbers, denoted as Z-numbers Best-Worst Method, or ZBWM. Since decision-makers face an uncertain environment, Z-numbers, which are a kind of fuzzy numbers, are applied.

First, after customizing CSFs by the Delphi method and obtaining 15 CSFs of RL, these are ranked by the hybrid BWM-ARAS method with Z-numbers. Results reveal which company appears to perform best with respect to their RL implementations. Based on this result, healthcare device companies should choose the highest priority company based on the selected RL CSFs and results from using the BWM-ARAS method with Z-numbers.

The contribution of this paper is using a hybrid ARAS-BWM method based on Z-numbers. Each of these methods has some merits compared to other similar methods. The combination of these methods contributes a new approach for prioritizing companies based on RL CSFs with high accuracy and reliability.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

This study extends the educational institutions' performance and efficiency literature by examining Brazil's Federal Institute of Education, Science and Technology (FIEST), which consists of educational units throughout the country that span several levels of education.

The authors build and analyze a covariance matrix consisting of both a group of efficiency measures and a group of performance indicators used by Brazil's Ministry of Education (BME). The values in the covariance matrix are maximized through application of the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), in which the weights of each variable are optimized in order to capture the direction of the relationship between the two sets of efficiency measures.

Although the authors find that the collective efficiency of the educational units analyzed did not change during the period of study, the analysis reveals that government indicators of performance do not exhibit a strong relationship to the ideal solution efficiency measures used in this study.

This study extends the educational institution efficiency literature by examining Brazil's FIEST, which consists of 40 educational units throughout the country that spans several levels of education, from upper high school vocational courses to higher degrees.

The purpose of this paper is to investigate the issue of efficiency in the Brazilian motor carrier industry, which has undergone significant transformations since the economy deregulation in the mid-1990s. The main research objective is to determine whether or not different types of cargoes and geographic regions serviced significantly impact trucking managerial efficiency levels.

Research objectives are accomplished by applying a two-stage data envelopment analysis model with bootstrapped estimates. Based on an unbalanced panel model, secondary data from the annual study published by Transporte Moderno (years 2002-2010) were collected and analyzed.

Results support anecdotal evidence regarding a heterogeneous impact of cargo mix and route mix on efficiency levels.

A major limitation of this work concerns the fact of working with secondary data instead of primary data, especially with respect to the set of inputs and outputs used in the analysis, which may not cover all aspects relevant to building an efficiency frontier. Despite this limitation, the study has made an important contribution in its use of panel data to demonstrate the impacts of different types of cargoes and geographic regions serviced on managerial efficiency levels in the trucking industry.

Managerial impacts in terms of mergers and acquisitions are addressed.

The contribution of this study is twofold. On the theoretical side, a valuable scale for the measurement of managerial efficiency was built and validated, representing an index toward the most productive cargo/route mix. On the other hand, the managerial implication of this possibility of measuring the efficiency levels is that motor carriers can use it as a basis for establishing future action plans.

Brazil, DEA, Longitudinal study, Efficiency drivers, Trucking industry, Unbalanced panel

 Research paper

El estudio investiga el tema de la eficiencia en la industria del transporte Brasileña, la cual ha experimentado cambios significativos desde la desregulación de la economía a mediados de los años noventa. El objetivo principal de la investigación es determinar si los diferentes tipos de cargas y regiones geográficas que han recibido los servicios impactan significativamente o no los niveles de eficiencia administrativa de las empresas de camiones.

Los objetivos de la investigación se lograron usando un modelo DEA de dos etapas con estimaciones bootstrap. Basado en un modelo de panel no balanceado, se obtuvieron y analizaron datos secundarios del estudio anual publicados por Transporte Moderno (años 2002-2010).

Los resultados apoyan la evidencia anécdota en lo relacionado con el impacto heterogéneo de mezcla de cargas y una combinación de rutas en los niveles de eficiencia.

La limitación más grande de este trabajo es el hecho de trabajar con datos secundarios en vez de usar datos primarios, especialmente en relación con el set de inputs y outputs usados en este análisis, que podrían no cubrir todos los aspectos relevantes en la construcción de una frontera eficiente. A pesar de esta limitación, este estudio hace una importante contribución al usar datos de panel para demostrar los impactos de los diferentes tipos de cargas y regiones geográficas atendidas, en los niveles de eficiencia de la administración de la industria de transporte de camiones.

Se discuten los impactos de administración en términos fusiones y adquisiciones.

La contribución de este estudio es doble. Por el lado teórico, una escala relevante para medir la eficiencia de la administración fue construida y validada, que representa un índice hacia la combinación carga/ruta más efectiva. Por otro lado, las implicaciones administrativas de la posibilidad de medir niveles de eficiencia es que las empresas de transportes pueden usarloa como base para establecer planes futuros de acción.

Estudio longitudinal, Industria camionera, Brasil, DEA, Promotores de eficiencia, Panel no balanceado

 Trabajo de investigación

A pesquisa investiga o tema da eficiência na indústria brasileira de transporte rodoviário, a qual tem experimentado mudanças significativas desde a desregulamentação da economia em meados dos anos noventa. O objetivo principal da pesquisa é determinar se os diferentes tipos de cargas e de regiões geográficas atendidas impactam significativamente ou não nos níveis de eficiência na gestão de cargas rodoviárias.

Os objetivos da pesquisa foram atingidos usando um modelo DEA de dois estágios com estimativas bootstrap. Baseados em um modelo de painel, foram recolhidos e analisados dados secundários publicados no estudo anual da publicação Transporte Moderno (anos 2002-2010).

Os resultados apoiam a evidência baseada no senso comum relacionada ao impacto heterogêneo do mix de cargas e do mix de rotas nos níveis de eficiência.

A maior limitação de esta pesquisa concerne ao fato de trabalhar com dados secundários em vez de dados primários, especialmente em relação com a série de inputs e outputs utilizados na análise, que não puderam cobrir todos os aspectos relevantes para definição da fronteira de eficiência. Apesar dessa limitação, esta pesquisa traz uma importante contribuição ao utilizar dados de painel para demonstrar os impactos dos diferentes tipos de cargas e de regiões geográficas atendidas sobre os níveis de eficiência na gestão do transporte de cargas rodoviárias.

Os impactos da gestão em termos de fusão e aquisição são abordados.

A contribuição deste estudo é dupla. Pelo lado teórico, foi construída e validada uma escala relevante para medir a eficiência de gestão de cargas rodoviárias, que indica um índice para a combinação mais efetiva da combinação entre cargas e rotas. Por outro lado, quanto às implicações gerenciais, a possibilidade de medir os níveis de eficiência criam a possibilidade das empresas de transportes utilizá-los como base para futuros planos de ação.

Estudo longitudinal, Setor de transporte rodoviário, Brasil, DEA, Condutores de eficiência, Dados em painel

 Trabalhos de pesquisa

Research on women-owned businesses is more extensive in developed countries than in developing countries. This prompted the authors to investigate the factors that affect women entrepreneurs' motives to start a business and the challenges they faced in running their businesses in India.

Data for the analysis were collected from 620 respondents using a structured questionnaire and in-depth interviews with 20 women entrepreneurs. The data were then analyzed using descriptive and factor analysis in the statistical software “SPSS” (Statistical Package for the Social Sciences).

The findings showed that the primary motivation for women to launch their own business was to achieve self-employment. Other motivations include increasing income and allowing women to follow their passion. Factor analysis indicates that women entrepreneurs are more motivated by push than pull factors. The research also shows that women encounter challenges in their entrepreneurial journey, such as access to financing, issues with gender equality and social and cultural obligations.

The study on women entrepreneurs in the Indian context is limited. This study responds to a need of better understanding of women motivations and challenges. By studying these constructs, the study shows that start-up motives and challenges faced by female entrepreneurs are unique to different contexts.