Laws of large numbers for non-additive probabilities

We apply the concept of exchangeable random variables to the case of non-additive robability distributions exhibiting ncertainty aversion, and in the lass generated bya convex core convex non-additive probabilities, ith a convex core). We are able to rove two versions of the law of arge numbers (de Finetti's heorems). By making use of two efinitions. of independence we rove two versions of the strong law f large numbers. It turns out that e cannot assure the convergence of he sample averages to a constant. e then modal the case there is a true" probability distribution ehind the successive realizations of the uncertain random variable. In this case convergence occurs. This result is important because it renders true the intuition that it is possible "to learn" the "true" additive distribution behind an uncertain event if one repeatedly observes it (a sufficiently large number of times). We also provide a conjecture regarding the "Iearning" (or updating) process above, and prove a partia I result for the case of Dempster-Shafer updating rule and binomial trials.

Integral representation with convex capacities that are squeeze of (additive) probability measures

In this paper I will investigate the conditions under which a convex capacity (or a non-additive probability which exhibts uncertainty aversion) can be represented as a squeeze of a(n) (additive) probability measure associate to an uncertainty aversion function. Then I will present two alternatives forrnulations of the Choquet integral (and I will extend these forrnulations to the Choquet expected utility) in a parametric approach that will enable me to do comparative static exercises over the uncertainty aversion function in an easy way.

Cenário de mudanças e implicações na transferência do conhecimento tácito: estudo de caso FMC Technologies do Brasil

O objetivo dessa dissertação é analisar o desafio da transferência de conhecimento no setor de tecnologia de Óleo e Gás, especificamente na empresa FMC Technologies do Brasil, e suas consequências no diferencial competitivo, ao compreender como se dá a transferência de conhecimento tácito dos especialistas para os novos colaboradores, que devido ao enorme crescimento do segmento são a maioria atualmente. O estudo de caso se dará pela observação participante do próprio autor no local de trabalho, abordagem de teoria analítica e consequente pesquisa qualitativa com colaboradores de diferentes áreas e tempos de serviço, a fim de qualificar observações, bem como entender como se estabelece este processo e fundamentalmente, como melhorá-lo e garantir sustentabilidade. Como resultado deste trabalho tivemos a validação dos especialistas como responsáveis pela transferência do conhecimento tácito dentro do ambiente e contexto capacitante criado desde a fundação da empresa CBV, o qual desdobra a estratégia através da inspiração na valorização do trabalho e sentimento de contribuição.

Assessing the maturity levei of an organization in its adoption of collaboration technologies

Nowadays there are many information technologies that can make a significant difference to support collaborative efforts in the workspace. The role of IT is to support group collaboration by empowering team members with the right capabilities. One way to assess capabilities is through a maturity model. This paper proposes a first version of the Collaboration-Technology Maturity model (CTMM), aiming to serve as a strategic instrument for IT managers to control and manage the adoption of Collaboration Technologies (CITs) among their organizations. Our contribution is both theoretical and practical as we propose a descriptive maturity model. Nevertheless, it is also an application method and assessment instruments. We also completed an empirical evaluation by conducting 89 assessments at Latin American companies of all sizes and industries. This extensive field exercise allowed us to not only evaluate the usefulness of the model and instruments but also investigate CIT adoption patterns in Latin America in an attempt to collect historical data to further evolve CTMM into a comparative model. Responses were used to provide conclusions on CIT adoption in Latin America with respect to three specific backgrounds: the country of origin (region), size (in number of employees) and industry type. The implications of our findings are discussed for practitioners and researchers.