Pesquisa de clima organizacional: uma análise crítica

The organization climate research is a widely used human resources tool grounded on the managerial discourse that preaches that listening to employees's opinions is relevant for the identification of corporate aspects that demand improvement. This study aims at desmistifying this discourse by means of analytical tools from the Critical Administration Studies, namely: denaturalized view of administration, detachment between intentions and performance and search for emancipation. The study is grounded on the assumption that the organizational climate research derives from functionalist theory, which benefits a dominating class, in name of productivity and for the maintenance of the status quo, therefore contributing for individual alienation at work. The study was designed to identify elements that show the relation between an organizational climate research tool and the social control over individuals in an organization - here the research conducted in 2005 by Centrais Elétricas Brasileiras S/A - Eletrobrás, the Brazilian power sector holding company. The theoretical section presents an overview of corporate paradigms relevant for a sound understanding of the organizational climate concept. Data analysis was conducted by means of the post-modern method of binary deconstruction: the questions contained in the tool's questionnaire were grouped into categories and then analyzed in terms of the fallowing conceptual pairs: well-being/productivity, autonomy/control, ethics/ competitiveness and participation/alienation. The analysis showed that the organization climate research tool is used as a resource for social control and power, because it contributes to individual alienation as it satisfies some specific individual demands, therefore preventing the individual form a thorough understanding of how the system works. Besides, the helps anticipate, mitigate and conceal the conflicts arising from the opposing interests of capital and labor.

The welfare cost of macroeconomic uncertainty in the post-war period

Lucas (1987) has shown the surprising result that the welfare cost of business cycles is quite small. Using standard assumptions on preferences and a fully-áedged econometric model we computed the welfare costs of macroeconomic uncertainty for the post-WWII era using the multivariate Beveridge-Nelson decomposition for trends and cycles, which considers not only business-cycle uncertainty but also uncertainty from the stochastic trend in consumption. The post-WWII period is relatively quiet, with the welfare costs of uncertainty being about 0:9% of per-capita consumption. Although changing the decomposition method changed substantially initial results, the welfare cost of uncertainty is qualitatively small in the post-WWII era - about $175.00 a year per-capita in the U.S. We also computed the marginal welfare cost of macroeconomic uncertainty using this same technique. It is about twice as large as the welfare cost ñ$350.00 a year per-capita.

Essays on decision sciences: exploring cognition, information processing, and complexity

This thesis provides three original contributions to the field of Decision Sciences. The first contribution explores the field of heuristics and biases. New variations of the Cognitive Reflection Test (CRT--a test to measure "the ability or disposition to resist reporting the response that first comes to mind"), are provided. The original CRT (S. Frederick [2005] Journal of Economic Perspectives, v. 19:4, pp.24-42) has items in which the response is immediate--and erroneous. It is shown that by merely varying the numerical parameters of the problems, large deviations in response are found. Not only the final results are affected by the proposed variations, but so is processing fluency. It seems that numbers' magnitudes serve as a cue to activate system-2 type reasoning. The second contribution explores Managerial Algorithmics Theory (M. Moldoveanu [2009] Strategic Management Journal, v. 30, pp. 737-763); an ambitious research program that states that managers display cognitive choices with a "preference towards solving problems of low computational complexity". An empirical test of this hypothesis is conducted, with results showing that this premise is not supported. A number of problems are designed with the intent of testing the predictions from managerial algorithmics against the predictions of cognitive psychology. The results demonstrate (once again) that framing effects profoundly affect choice, and (an original insight) that managers are unable to distinguish computational complexity problem classes. The third contribution explores a new approach to a computationally complex problem in marketing: the shelf space allocation problem (M-H Yang [2001] European Journal of Operational Research, v. 131, pp.107--118). A new representation for a genetic algorithm is developed, and computational experiments demonstrate its feasibility as a practical solution method. These studies lie at the interface of psychology and economics (with bounded rationality and the heuristics and biases programme), psychology, strategy, and computational complexity, and heuristics for computationally hard problems in management science.