General Motorsin varaosaluettelo N:o 402

kuv., 14 x 22 cm

General Motorsin uudenaikaisimpia vaatimuksia vastaava kuormavaunu

kuv., 22 x 28 cm

Marquette uusi General Motorsin vaunu Buick'in rakentama

kuv., 24 x 16 cm

The Association Between Physical Activity, Productivity, and Health Care Utilization Among Employees in Brazil

Objective: To document the relationship between physical activity, absenteeism, presenteeism, health care utilization, and morbidity among Brazilian automotive workers. Methods: Eligible employees (N = 620) completed a questionnaire. Univariate correlations, multivariate logistic regression, and Pearson`s product-moment correlation coefficient were used. Results: Work absenteeism was associated with physical activity at work (OPA) (odds ratio, [OR] = 1.63, 95% confidence interval [CI] = 1.31 to 2.02) and leisure physical activity time excluding sport (OR = 0.73, 95% CI = 0.58 to 1.00). Health care utilization was associated with OPA (OR = 1.25, 95% CI = 0.99 to 1.58) and leisure physical activity time excluding sport (OR = 0.76, 95% CI = 0.57 to 1.02). Presenteeism showed an indirect relationship with OPA (r = 0.099, P = 0.014). Referred morbidity was associated with OPA (OR = 1.3, 95% CI = 1.06 to 1.61) and sports during leisure time (OR = 0.67, 95% CI = 0.54 to 0.82). Conclusions: Physical activity components seem to have differential relationships to the studied outcomes. Associations measured indicate negative impacts of OPA on absenteeism, health care utilization, and morbidity, although overall physical activity did not show these relationships.

Satisfação com assistência técnica e lealdade ao fabricante no ramo automobilístico

Este artigo contempla as relações entre a satisfação do cliente com serviços de assistência técnica automotiva (SATISSER) e sua lealdade ao fabricante do veículo (LEALDFAB), algo que não tem sido experimentalmente investigado a contento no marketing. Começando com uma revisão teórica, empreendeu-se uma análise empírica com uma amostra de 225 usuários de veículos brasileiros das montadoras Fiat, Ford, General Motors e Volkswagen. Com o método da modelagem de equações estruturais, evidenciou-se como significante o vínculo entre a variável exógena latente SATISSER (como causa) e a variável endógena latente LEALDFAB (como efeito). Essa comprovação pode ter um efeito indutivo de diligências dos produtores de bens e prestadores de serviços em geral (não só das concessionárias de veículos) para o aprimoramento dos serviços em suas ofertas.

Aplicação dos métodos de Taguchi e estudo da capacidade do processo: caso de estudo na indústria automóvel

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Mecânica

A nonlinear threshold model for the dependence of extremes of stationary sequences

One of the main implications of the efficient market hypothesis (EMH) is that expected future returns on financial assets are not predictable if investors are risk neutral. In this paper we argue that financial time series offer more information than that this hypothesis seems to supply. In particular we postulate that runs of very large returns can be predictable for small time periods. In order to prove this we propose a TAR(3,1)-GARCH(1,1) model that is able to describe two different types of extreme events: a first type generated by large uncertainty regimes where runs of extremes are not predictable and a second type where extremes come from isolated dread/joy events. This model is new in the literature in nonlinear processes. Its novelty resides on two features of the model that make it different from previous TAR methodologies. The regimes are motivated by the occurrence of extreme values and the threshold variable is defined by the shock affecting the process in the preceding period. In this way this model is able to uncover dependence and clustering of extremes in high as well as in low volatility periods. This model is tested with data from General Motors stocks prices corresponding to two crises that had a substantial impact in financial markets worldwide; the Black Monday of October 1987 and September 11th, 2001. By analyzing the periods around these crises we find evidence of statistical significance of our model and thereby of predictability of extremes for September 11th but not for Black Monday. These findings support the hypotheses of a big negative event producing runs of negative returns in the first case, and of the burst of a worldwide stock market bubble in the second example. JEL classification: C12; C15; C22; C51 Keywords and Phrases: asymmetries, crises, extreme values, hypothesis testing, leverage effect, nonlinearities, threshold models

Harrison special lämmityslaite

kuv., 14 x 20 cm

Fisher-korin hoito

kuv., 14 x 22 cm

Miten vaunun maalaus voidaan pysyttää hyvänä

kuv., 10 x 19 cm

Takuu- ja tarkastuskirja

9 x 16 cm

Takuu- ja tarkastuskirja

kuv., 9 x 15 cm

Takuu- ja tarkastuskirja

kuv., 9 x 15 cm

Takuu- ja tarkastuskirja

kuv., 9 x 17 cm

Takuu- ja tarkastuskirja

kuv., 9 x 17 cm