Acumulação de competências tecnológicas e os processos subjacentes de aprendizagem na indústria Mmtal - mecânica : o caso da empresa AGCO comércio e indústria LTDA em Santa Rosa - RS

This dissertation enfoca the relationship between technological competences accumulation and the learning underlying processes. This relationship is examined in the company AGCO Comércio and Indústria Ltda, during the period of 1970 to 2000. It is of a company metal-mechanics, agricultural machines manufacturer. In other words, the dissertation examines the processes technological learning implications for aA technological competences accumulation in the company in study. The dissertation enfoca the competences accumulation for three technological functions: processes and organization, products and equipments. The learning processes are examined to the light of four characteristic: variety, intensity, operation and interaction, from the structure existing analysis use in the literature. Based on study of individual case, this study found that the technological competences ways to accumulation in the studied company are associates to the several processes used to acquire technological knowledge and converts him in organizacional. Ademais, the simple incidence of these processes in the company didn't guarantee in the company a positive implication for the technological competences accumulation. The company accumulated level middleman-superior technological competence (level 6) to accomplish production and function products function processes and organization activities, and intermediary level (level 5) to accomplish function equipments activities. In haves to characteristic key, the learning processes introduce an oscillation differentiated along time: the variety oscillated of moderated the several; the intensity of intermittent the continuous; the operation of bad the good; and the interaction of weak the strong. Through the existing structure use in the literature, however applied to a previous studies different industry, this dissertation suggests that must there be an organized , continuous effort and integrated for the knowledge generation and sowing in every company in order to the technological training accumulation be accelerated in the company.

A (semi-)parametric functional coefficient autoregressive conditional duration model

In this paper, we propose a class of ACD-type models that accommodates overdispersion, intermittent dynamics, multiple regimes, and sign and size asymmetries in financial durations. In particular, our functional coefficient autoregressive conditional duration (FC-ACD) model relies on a smooth-transition autoregressive specification. The motivation lies on the fact that the latter yields a universal approximation if one lets the number of regimes grows without bound. After establishing that the sufficient conditions for strict stationarity do not exclude explosive regimes, we address model identifiability as well as the existence, consistency, and asymptotic normality of the quasi-maximum likelihood (QML) estimator for the FC-ACD model with a fixed number of regimes. In addition, we also discuss how to consistently estimate using a sieve approach a semiparametric variant of the FC-ACD model that takes the number of regimes to infinity. An empirical illustration indicates that our functional coefficient model is flexible enough to model IBM price durations.