老字号品牌价值共创机理及对策研究——基于服务主导逻辑视角

将服务主导逻辑的思维范式引入老字号企业中来,结合消费文化和社会情景价值理论探讨该领域中品牌价值的共创机理,基于理论假设构建研究框架。以北京、上海、福建三个地区的不同行业老字号品牌企业为实证研究对象,对企业员工和消费者进行访谈和问卷调查。通过修正的初始量表,基于PLS-SEM方法对收集的309份有效问卷调查数据应用SPSS22.0和Smart PLS2.0进行分析,验证消费者情感价值共创的中介作用及互联网媒介交互的调节作用。分析结果表明,消费者与老字号企业共同创造价值,历史悠久的老字号品牌企业关注基于互联网媒介下不同利益相关者的互动和协同才能创造品牌价值共创的最理想点,最后为老字号品牌管理提供有益的建议和应对策略。     

为历史增添精神重量与文化资源——王充闾散文创作论纲

将王充闾的散文创作置于文学历史的发展过程之中,从思想含量、文化价值、文学意义、主体特征四个方面,展开梳理、归纳和阐释,就中凸现其历史与美学的特殊贡献。     

中国环境公益诉讼之兴起与走势——基于环境正义与环境诉讼价值进路的分析

在我国,环境污染及其造成的损害日益严重,客观上对损害救济的相关法律提出了变革与发展的要求。然而,传统环境侵权诉讼在原告资格、诉讼事由和诉讼主体——环保团体的诉讼资格方面面临诸多困境。环境公益诉讼在原告的起诉资格、诉讼标的、诉讼事由以及诉讼性质等方面,弥补了传统环境侵权诉讼的缺陷,在实现环境正义、保护环境公益、救济环境损害方面起到了不可替代的作用。     

A hierarchical model for extreme wind speeds

Summary.  A typical extreme value analysis is often carried out on the basis of simplistic inferential procedures, though the data being analysed may be structurally complex. Here we develop a hierarchical model for hourly gust maximum wind speed data, which attempts to identify site and seasonal effects for the marginal densities of hourly maxima, as well as for the serial dependence at each location. A Gaussian model for the random effects exploits the meteorological structure in the data, enabling increased precision for inferences at individual sites and in individual seasons. The Bayesian framework that is adopted is also exploited to obtain predictive return level estimates at each site, which incorporate uncertainty due to model estimation, as well as the randomness that is inherent in the processes that are involved.     

Extreme value models with application to drought data

Summary The exact distributions of the productXY are derived whenX andY are independent random variables and come from the extreme value distribution of Type I, the extreme value distribution of Type II or the extreme value distribution of Type III. Of the, six possible combinations, only three yield closed-form expressions for the distribution ofXY. A detailed application of the results is provided to drought data from Nebraska. The author would like to thank the referees and the Associate Editor for carefully reading the paper and for their great help in improving the paper.     

Linearity of regression for non-adjacent record values

Let X₁,X₂,… be a sequence of iid random variables having a continuous distribution; by R₁,R₂,… denote the corresponding record values. All the distributions allowing linearity of regressions either E(R_m+k|R_m) or E(R_m|R_m+k) are identified.     

试论时间价值观

时间是一种重要的资源。时间价值观是个体以自身的需要为尺度对时间重要性的稳定态度和观念。时间价值观含有时间资源观、时间效率观、时机观、时间顺序观等方面的意义。时间价值观的结构可以有不同的划分。时间价值观受社会文化传统、个体的年龄因素、个体性格、社会环境等因素的影响。心理学对时间价值观的研究在理论上和应用中都有着重要的意义     

选择价值工程改进对象的动态排序模型

从一个复杂系统中,合理地选择重点改进对象,是有效开展价值工程活动的基础。本文在分析最合适区域法存在的问题的基础上,提出选择价值工程改进对象的动态排序模型。     

A new estimation method for Weibull-type tails based on the mean excess function

Studying the right tail of a distribution, one can classify the distributions into three classes based on the extreme value index γ$\gamma$. The class γ>0$\gamma >0$ corresponds to Pareto-type or heavy tailed distributions, while γ<0$\gamma <0$ indicates that the underlying distribution has a finite endpoint. The Weibull-type distributions form an important subgroup within the Gumbel class with γ=0$\gamma =0$. The tail behaviour can then be specified using the Weibull tail index. Classical estimators of this index show severe bias. In this paper we present a new estimation approach based on the mean excess function, which exhibits improved bias and mean squared error. The asserted properties are supported by simulation experiments and asymptotic results. Illustrations with real life data sets are provided.     

On the stability of the risk hull method for projection estimators

We consider in this paper the regularization by projection of a linear inverse problem Y=Af+εξ$Y=\mathit{Af}+\epsilon \xi$ where ξ$\xi$ denotes a Gaussian white noise, A   a compact operator and ε>0$\epsilon >0$ a noise level. Compared to the standard unbiased risk estimation (URE) method, the risk hull minimization (RHM) procedure presents a very interesting numerical behavior. However, the regularization in the singular value decomposition setting requires the knowledge of the eigenvalues of A$A$. Here, we deal with noisy eigenvalues: only observations on this sequence are available. We study the efficiency of the RHM method in this situation. More generally, we shed light on some properties usually related to the regularization with a noisy operator.