7 resultados para Value System

em Repositório digital da Fundação Getúlio Vargas - FGV


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Nos últimos anos, a economia mundial e a economia brasileira têm sofrido mudanças importantes. Fusões, aquisições e alianças estratégicas têm se multiplicado. Parte considerável destas mudanças relaciona-se com profundas alterações nos sistemas de valores de todos os segmentos industriais. A busca da competitividade relaciona-se cada vez mais com a busca do ótimo sistêmico, além das fronteiras da empresa. Neste contexto, a administração logística ganha nova dimensão, envolvendo a integração de todas as atividades ao longo da cadeia de valores e do sistema de valores, das matérias-primas ao cliente final. O objetivo desta pesquisa é (re)situar a administração logística no contexto de mudanças, enfatizando a metodologia da gestão da cadeia de suprimentos (supply chain management).

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In the last decades of the 21st century, Corporate Social Responsibility (CSR) has become one of the most widely debated issues in business management, concerning researchers, politicians, managers and society at large. With multilateral implications in economic and social life, CSR refers, essentially, to the discussion about the boundaries of business intervention in society and the ethical limits that should regulate that intervention. It questions the impact of business practices in social well-being, the role left for corporations and for the State in attending to community needs, and which are, at last, the responsibilities that tie enterprises to society. In this research, CSR is approached from the perspective of its ethical foundations, based on the moral reasoning of the business manager, as a key organizational leader with relevant decision power. Specifically, the research aims to understand how the personal human value system and the ethical orientation of managers influence their attitude towards CSR, considering this attitude as an indicator of managerial behavior that translates into corporate performance. Theoretically, CSR concept is discussed and presented as a set of social commitments, based on a strict interpretation of its meaning. As to human values, its philosophical roots are briefly analyzed and Schwartz modern motivational theory is addressed as main reference for studying the personal value system of managers in this research. Concerning ethics, based on classical theory from moral philosophy, references are seek in John Stuart Mill¿s utilitarianism, Immanuel Kant¿s deontological absolutism, John Rawls¿s theory of justice and the ethics of virtue inspired by Aristotle¿s moral thoughts. Based on an extended literature review, research hypothesis are proposed as part of a theoretical model of analysis named Individual Attitude Towards Social Responsibility Model. In order to test the theory¿s empirical validity, it was conducted a field study with 252 Brazilian managers, mainly from the metropolitan areas of São Paulo and Rio de Janeiro. Results show that managerial attitude aligned with CSR principles is favored by conservative personal values, protectors of stability and centered on collective will, and by an ethical orientation based on egalitarianism as postulated by distributive justice principles. However, results also show that the influence of values and personal ethics on managerial attitude towards CSR only occur in managers younger than 30 years old. Findings and their meanings are discussed, as well as summarized in the Axiological and Ethical Determinants of Managers¿ Social Commitment Model. Finally, methodological limitations are evaluated and clues for further research are suggested.

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A new paradigm is modeling the World: evolutionary innovations in all fronts, new information technologies, huge mobility of capital, use of risky financial tools, globalization of production, new emerging powers and the impact of consumer concerns on governmental policies. These phenomena are shaping the World and forcing the advent of a new World Order in the Multilateral Monetary, Financial, and Trading System. The effects of this new paradigm are also transforming global governance. The political and economic orders established after the World War and centered on the multilateral model of UN, IMF, World Bank, and the GATT, leaded by the developed countries, are facing significant challenges. The rise of China and emerging countries shifted the old model to a polycentric World, where the governance of these organizations are threatened by emerging countries demanding a bigger participation in the role and decision boards of these international bodies. As a consequence, multilateralism is being confronted by polycentrism. Negotiations for a more representative voting process and the pressure for new rules to cope with the new demands are paralyzing important decisions. This scenario is affecting seriously not only the Monetary and Financial Systems but also the Multilateral Trading System. International trade is facing some significant challenges: a serious deadlock to conclude the last round of the multilateral negotiation at the WTO, the fragmentation of trade rules by the multiplication of preferential and mega agreements, the arrival of a new model of global production and trade leaded by global value chains that is threatening the old trade order, and the imposition of new sets of regulations by private bodies commanded by transnationals to support global value chains and non-governmental organizations to reflect the concerns of consumers in the North based on their precautionary attitude about sustainability of products made in the World. The lack of any multilateral order in this new regulation is creating a big cacophony of rules and developing a new regulatory war of the Global North against the Global South. The objective of this paper is to explore how these challenges are affecting the Tradinge System and how it can evolve to manage these new trends.

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The study aims to assess the empirical adherence of the permanent income theory and the consumption smoothing view in Latin America. Two present value models are considered, one describing household behavior and the other open economy macroeconomics. Following the methodology developed in Campbell and Schiller (1987), Bivariate Vector Autoregressions are estimated for the saving ratio and the real growth rate of income concerning the household behavior model and for the current account and the change in national cash ‡ow regarding the open economy model. The countries in the sample are considered separately in the estimation process (individual system estimation) as well as jointly (joint system estimation). Ordinary Least Squares (OLS) and Seemingly Unrelated Regressions (SURE) estimates of the coe¢cients are generated. Wald Tests are then conducted to verify if the VAR coe¢cient estimates are in conformity with those predicted by the theory. While the empirical results are sensitive to the estimation method and discount factors used, there is only weak evidence in favor of the permanent income theory and consumption smoothing view in the group of countries analyzed.

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It is well known that cointegration between the level of two variables (e.g. prices and dividends) is a necessary condition to assess the empirical validity of a present-value model (PVM) linking them. The work on cointegration,namelyon long-run co-movements, has been so prevalent that it is often over-looked that another necessary condition for the PVM to hold is that the forecast error entailed by the model is orthogonal to the past. This amounts to investigate whether short-run co-movememts steming from common cyclical feature restrictions are also present in such a system. In this paper we test for the presence of such co-movement on long- and short-term interest rates and on price and dividend for the U.S. economy. We focuss on the potential improvement in forecasting accuracies when imposing those two types of restrictions coming from economic theory.

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This paper has two original contributions. First, we show that the present value model (PVM hereafter), which has a wide application in macroeconomics and fi nance, entails common cyclical feature restrictions in the dynamics of the vector error-correction representation (Vahid and Engle, 1993); something that has been already investigated in that VECM context by Johansen and Swensen (1999, 2011) but has not been discussed before with this new emphasis. We also provide the present value reduced rank constraints to be tested within the log-linear model. Our second contribution relates to forecasting time series that are subject to those long and short-run reduced rank restrictions. The reason why appropriate common cyclical feature restrictions might improve forecasting is because it finds natural exclusion restrictions preventing the estimation of useless parameters, which would otherwise contribute to the increase of forecast variance with no expected reduction in bias. We applied the techniques discussed in this paper to data known to be subject to present value restrictions, i.e. the online series maintained and up-dated by Shiller. We focus on three different data sets. The fi rst includes the levels of interest rates with long and short maturities, the second includes the level of real price and dividend for the S&P composite index, and the third includes the logarithmic transformation of prices and dividends. Our exhaustive investigation of several different multivariate models reveals that better forecasts can be achieved when restrictions are applied to them. Moreover, imposing short-run restrictions produce forecast winners 70% of the time for target variables of PVMs and 63.33% of the time when all variables in the system are considered.

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Using a sequence of nested multivariate models that are VAR-based, we discuss different layers of restrictions imposed by present-value models (PVM hereafter) on the VAR in levels for series that are subject to present-value restrictions. Our focus is novel - we are interested in the short-run restrictions entailed by PVMs (Vahid and Engle, 1993, 1997) and their implications for forecasting. Using a well-known database, kept by Robert Shiller, we implement a forecasting competition that imposes different layers of PVM restrictions. Our exhaustive investigation of several different multivariate models reveals that better forecasts can be achieved when restrictions are applied to the unrestricted VAR. Moreover, imposing short-run restrictions produces forecast winners 70% of the time for the target variables of PVMs and 63.33% of the time when all variables in the system are considered.