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De Castro L.,Northwestern University | Dutra J.,Getulio Vargas Foundation
Energy Economics | Year: 2013

Smart grid technologies may bring substantial advantages to society, but the required investments are sizable. This paper analyzes three main issues related to smart grids: reliability, demand response and cost recovery of investments. In particular, we show that generators will lose profits as a direct effect of demand response initiatives, and most of the benefits of smart grids cannot be easily converted into payments. Moreover, there are potential issues in the choices made by utilities for providing smart grids, and the reliability pertinent to smart grids is a kind of public good. © 2013 Elsevier B.V. Source


Pinheiro C.A.R.,Catholic University of Leuven | Van Vlasselaer V.,Catholic University of Leuven | Baesens B.,Catholic University of Leuven | Evsukoff A.G.,Federal University of Rio de Janeiro | And 2 more authors.
Advances in Intelligent Systems and Computing | Year: 2015

Upon an overall human mobility behavior within the city of Rio de Janeiro, this paper describes a methodology to predict commuting trips based on the mobile phone data. This study is based on the mobile phone data provided by one of the largest mobile carriers in Brazil. Mobile phone data comprises a reasonable variety of information about subscribers’ usage, including time and location of call activities throughout urban areas. This information was used to build subscribers’ trajectories, describing then the most relevant characteristics of commuting over time. An Origin-Destination (O-D) matrix was built to support the estimation for the number of commuting trips. Traditional approaches inherited from transportation systems, such as gravity and radiation models – commonly employed to predict the number of trips between locations(regularly upon large geographic scales) – are compared to statistical and data mining techniques such as linear regression, decision tree and artificial neural network. A comparison of these models shows that data mining models may perform slightly better than the traditional approaches from transportation systems when historical information are available. In addition to that, data mining models may be more stable for great variances in terms of the number of trips between locations and upon different geographic scales. Gravity and radiation models work very well based on large geographic scales and they hold a great advantage, they are much easier to be implemented. On the other hand, data mining models offer more flexibility in incorporating additional attributes about locations – such as number of job positions, available entertainments, schools and universities posts, among others –and historical information about the trips over time. © Springer International Publishing Switzerland 2015. Source


Fleury A.,University of Sao Paulo | Shi Y.,University of Cambridge | Junior S.F.,University of Sao Paulo | Cordeiro J.H.D.,University of Sao Paulo | Fleury M.T.L.,Getulio Vargas Foundation
International Journal of Production Research | Year: 2015

The rise of emerging country multinationals (EMNEs) is opening new perspectives for the study of international operations management (IOM). Research may address issues which are inexistent when the object of study is longestablished developed country multinationals (DMNEs). One of the issues that may be noticed, and will be studied in this article, has to do with the design and implementation of new international operations networks. In contrast to DMNEs, internationalisation of EMNEs is strongly influenced by two further factors: country-of-origin effects and role in global production networks. Therefore, studies of EMNEs' international operations networks must embrace two other analytical levels besides the network level: the strategic level of the headquarters and the operational level of the subsidiaries. The analytical framework in this study has been developed through the use of constructs and concepts from both IOM and international business literatures. Such framework applied to three Brazilian multinationals leads to relevant insights on the internationalisation of EMNEs as well as the design and implementation of international operations networks for such late-moving firms. © 2015 Taylor & Francis. Source


Baracho R.A.,Federal University of Minas Gerais | Branquinho L.,Federal University of Minas Gerais | Almeida M.B.,Federal University of Minas Gerais | Souza R.R.,Getulio Vargas Foundation
WMSCI 2015 - 19th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings | Year: 2015

The growing amount of information generated and available nowadays requires studies that add innovations in representation, organization and retrieval of information. A challenge in information retrieval within a specific domain is to create semantic relationships between the terms of a specialized vocabulary. In doing so one can reach efficient representative knowledge models. This can be done, for example, through artifacts as ontologies, which can improve the decision-making process. The purpose of this paper is to describe how the use of ontologies and their inference engines can enhance the information retrieval regarding the prescriptive behavior of laboratory tests for viral hepatitis, particularly in Knowledge Discovery in Database (KDD) initiatives. We conducted a literature review in well-kwon sources using descriptors such as Knowledge Discovery in Databases (KDD), ontologies, data mining, association rules, semantic similarity and the Logical Observation Identifiers Names and Codes (LOINC). Our findings suggest that the combination of knowledge discovery and data mining techniques assisted by ontologies contribute for information retrieval and, consequently, for the efficient knowledge extraction. Source


De Freitas A.S.,Grande Rio University | Bandeira-De-Mello R.,Getulio Vargas Foundation
Computers and Education | Year: 2012

The existing literature on e-learning implementation is either descriptive or normative and falls short on explaining how managers act in introducing and disseminating e-learning projects in school settings. In this paper, we follow a symbolic approach in order to offer a grounded model for explaining how managerial framing of the introduction of e-learning gives rise to different patterns of action and intended outcomes. Our model is grounded in the study of seven business schools in Brazil, where the competitive and institutional settings offer significant variety for formulating propositions through the grounded theory methodology. We conclude that managers act to integrate e-learning using cultural incongruity reduction strategies when they perceive e-learning as a way of improving existing teaching practices. They may also aim at insulating e-learning through incongruity avoidance when they perceive e-learning in economic terms. These results offer new empirical evidence and fresh explanations when the phenomenon of managerial action in e-learning implementation is looked at in symbolic terms. © 2012 Elsevier Ltd. All rights reserved. Source

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