削减成本的更好方式

把成本削减平摊到公司所有部门的做法看似公平,但却毫无意义。目标明确的成本削减和构建能力的尝试才是明智之举。     

A matrix-based industrial location model

Experience with earlier interview-type location studies is employed as a basis for an ‘improved’ matrix model for the external location factors affecting industrial undertakings. The model enables the relative advantage of potential locations for industry to be determined, and the most appropriate branches of industry to be assigned to each region.     

Pricing by hedging and no-arbitrage beyond semimartingales

We show that pricing a big class of relevant options by hedging and no-arbitrage can be extended beyond semimartingale models. To this end we construct a subclass of self-financing portfolios that contains hedges for these options, but does not contain arbitrage opportunities, even if the stock price process is a non-semimartingale of some special type. Moreover, we show that the option prices depend essentially only on a path property of the stock price process, viz. on the quadratic variation. We end the paper by giving no-arbitrage results even with stopping times for our model class.      

Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF

Research in the human and behavioral sciences has long been burdened by a methodological distinction between two categories of research: that which measures and produces facts and that which understands and interprets phenomena. However all interpretation of numbers requires that results be viewed in relative terms and there are no other means for this than comparison. The Z-scoring method, that is to say standardization, in web survey ZEF, emphasizes relative traits of survey answering. Questions in ZEF are illustrated in graphical two-dimensional chart where respondents are able to compare their answers at the moment of answering process. This trait of answering emphasizes the relationship of questions more than an absolute values on the scales of two dimensions. The Z-scoring method that is used in ZEF for handle results is based for same assumption: The respondents are compared questions and are formulated their answers through comparison. The significance of differences between groups cannot be measured directly: in some content areas, even small differences may be important, while in others changes of even several per cent are not significant. Standardization makes visible how different respondents and groups value things, that is, construct an order for them, using the dimensions given.     

Improving firm positioning through enhanced offerings and buyer-seller relationships

We analyze the strategic repositioning of firms through changes in their market offerings and buyer-seller relationships. Based on literature from strategy, marketing, economics, and information systems, we formulate a two-by-two matrix to examine alternatives for positioning. We evaluate the framework with four case studies of companies that have recently moved toward more complete product/service offerings and stronger relational linkages with customers. These moves followed two different paths. The product/service path initially focused on the development of new and related products, product bundles, and the addition of product-related services. The relational path first focused on establishing closer relationships with customers including closer operational linkages, enhanced information sharing, more fully articulated legal and contractual obligations, and enhanced cooperation. In all the cases, the strategic repositioning was influenced by customer needs and enabled by information technology and the acquisition of new competencies through networking.     

Intensity estimation for inhomogeneous Gibbs point process with covariates‐dependent chemical activity

Recent development of intensity estimation for inhomogeneous spatial point processes with covariates suggests that kerneling in the covariate space is a competitive intensity estimation method for inhomogeneous Poisson processes. It is not known whether this advantageous performance is still valid when the points interact. In the simplest common case, this happens, for example, when the objects presented as points have a spatial dimension. In this paper, kerneling in the covariate space is extended to Gibbs processes with covariates‐dependent chemical activity and inhibitive interactions, and the performance of the approach is studied through extensive simulation experiments. It is demonstrated that under mild assumptions on the dependence of the intensity on covariates, this approach can provide better results than the classical nonparametric method based on local smoothing in the spatial domain. In comparison with the parametric pseudo‐likelihood estimation, the nonparametric approach can be more accurate particularly when the dependence on covariates is weak or if there is uncertainty about the model or about the range of interactions. An important supplementary task is the dimension reduction of the covariate space. It is shown that the techniques based on the inverse regression, previously applied to Cox processes, are useful even when the interactions are present. © 2014 The Authors. Statistica Neerlandica © 2014 VVS.     

Forecasting the consumption of alcoholic beverages in Finland: A box-Jenkins approach

In this report the results of identifying, estimating and diagnostically checking short-term rational distributed lag (transfer function) models for forecasting the consumption of alcoholic beverages other than beer in Finland are reviewed and compared with some other Scandinavian studies. The output of models is the logarithm of the monthly consumption of alcoholic beverages while the only specified input is the logarithm of the price index of alcoholic beverages. Other explanatory variables are included in the ARIMA noise. The importance of the price variable is demonstrated by comparing ex post predictions obtained using different methods.     

Conditionally heteroscedastic intensity‐dependent marking of log Gaussian Cox processes

Spatial marked point processes are models for systems of points which are randomly distributed in space and provided with measured quantities called marks. This study deals with marking, that is methods of constructing marked point processes from unmarked ones. The focus is density‐dependent marking where the local point intensity affects the mark distribution. This study develops new markings for log Gaussian Cox processes. In these markings, both the mean and variance of the mark distribution depend on the local intensity. The mean, variance and mark correlation properties are presented for the new markings, and a Bayesian estimation procedure is suggested for statistical inference. The performance of the new approach is studied by means of simulation experiments. As an example, a tropical rainforest data is modelled.     

Commitment problems justify subsidies for medical insurance

Consumers who believe that government will provide them with some public medical care, even if they did not purchase medical insurance, may choose to purchase no such insurance. The amount of medical care consumed will then be less than the first-best optimum. Under specified conditions government can then increase the welfare of consumers by subsidizing insurance, or by providing public health care at a more generous level than the minimum it would otherwise give.