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The upward influence of middle-level managers (MLMs) on strategic planning and decision-making is examined. It was found that: (1) upward influence activity was more prevalent in low risk/return types of strategic decisions than in high risk/return decisions; (2) upward influence activity was more prevalent during the implementation of strategic decisions than during the formulation of such decisions; (3) managers most often used rational arguments in their influence attempts; (4) managers were more likely to be successful than unsuccessful in influencing their superiors in strategic decisions; (5) managers most often attributed their success in influencing their superiors to internal causes and their failures to external causes; (6) managers from private sector organizations exerted influence in both high risk and low risk strategic decisions more frequently than did managers from public sector organizations; and (7) the number of years working with the superior was the best predictor of successful interactions and of risky decisions. Some insight into the development of widespread strategic thinking in an organization is provided. 相似文献
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This paper surveys what is known about wealth distribution in Australia and concludes that our knowledge is scanty. The most reliable evidence comes from studies using probate returns and with the abolition of estate duties, these studies are becoming out of date. However, it is clear that wealth is very unequally distributed. The top 5 per cent of adult individuals own between 40 and 50 per cent of the wealth. This inequality is not just due to life cycle effects, and there is no strong evidence that wealth distribution has become more equal in Australia in the period since the First World War. 相似文献
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Warren Gilchrist 《Revue internationale de statistique》2008,76(3):401-418
Sir Francis Galton introduced median regression and the use of the quantile function to describe distributions. Very early on the tradition moved to mean regression and the universal use of the Normal distribution, either as the natural ‘error’ distribution or as one forced by transformation. Though the introduction of ‘quantile regression’ refocused attention on the shape of the variability about the line, it uses nonparametric approaches and so ignores the actual distribution of the ‘error’ term. This paper seeks to show how Galton's approach enables the complete regression model, deterministic and stochastic elements, to be modelled, fitted and investigated. The emphasis is on the range of models that can be used for the stochastic element. It is noted that as the deterministic terms can be built up from components, so to, using quantile functions, can the stochastic element. The model may thus be treated in both modelling and fitting as a unity. Some evidence is presented to justify the use of a much wider range of distributional models than is usually considered and to emphasize their flexibility in extending regression models. 相似文献