From ideas of power to the powering of ideas in organizations: Reflections from Follett and Foucault

Research on organizational creativity tends to emphasize fairly static notions of coercive power as positional authority and control over scarce resources. The field remains largely silent about power as a positive and generative phenomenon that can produce creativity. We seek to break that silence by amplifying and integrating the work of Mary Parker Follett and Michel Foucault in concert with recent practice-based approaches to creativity. Power in organizational creativity, we suggest, should first of all be explored as processes of connection, abundance and collective agency. We show that whereas established ideas of positional power over is related to assumptions of linearity and singularity of creativity, ideas of power with and power to are associated with a more dynamic, relational and process-based perspective. The latter set of views implies more attention be paid to processes of interactional framing through which people jointly attend to situations, reach new integrations and produce new social realities.     

现行公共权力监督制度体系效能评析

我国已初步建立适合本国国情的公共权力监督体制和制度体系,但制度自身的内在缺陷影响了制度绩效:对权力的公共属性认识不足,监督的目的更多在于保证权力意志的贯彻,而不是限权控权;重视教育的引导、榜样和典型的感召,忽视制度对个人自身利益的有效激励;缺乏宏观性制度使监督的权威性不够;制度建设缺乏程序性,导致制度执行的不确定性与随意性,使制度功能发挥受到很大制约.为此必须合理界定公共权力边界,在制度的思想基础、层次性、程序性上作更多改进,以重大限度地发挥制度的效能,进一步推动反腐倡廉工作.     

中国传统行政组织文化与公共权力制约困境

中国传统行政组织文化极强的穿透性与历史延续性的影响对现今公共权力制约造成一定的困境。本文阐述了中国传统行政组织文化对公权力制约困境的表现形式;基于行政人格二重性和中国传统行政组织文化的正负价值,分析中国传统行政组织文化对公权力制约困境产生的原因;并针对困境原因提出相应的对策。     

《革命时期的爱情》虐恋关系中的性政治

《革命时期的爱情》中的虐恋意在对权力进行揭露和解构,广义的"权力"包括男权,用性别视角来分析,在《革命时期的爱情》的虐恋关系内部,女性并没有从男权之中解放出来,即性政治存在于具有揭露和解构权力的作用的虐恋关系之中,这说明王小波对权力的解构并不彻底。     

基于熵权的乏燃料公路运输选线模型

由于核电站的特殊性,乏燃料的运输在核电供应体系中占据重要地位.核电站乏燃料具有辐射性,运输过程中对工作人员、沿途公众和环境等可能会产生危害,又属于公路超限货包运输,所以对公路运输线路要求非常高.本文在利用层次分析法构造乏燃料公路运输线路优选系统的综合评价指标体系的基础上,结合熵权和模糊数学理论,构造基于熵权的乏燃料公路运输选线模糊层次分析模型,为确保核电供应链中乏燃料物流的安全、降低其对环境的影响提供决策依据,以达到安全、可靠和经济合理地完成核电站乏燃料运输的目的.     

Properties of the Cox–Stuart Test for Trend in Application to Hydrological Series: The Simulation Study

The size and power properties of the Cox–Stuart test for detection of a monotonic deterministic trend in hydrological time series are analyzed using the Monte Carlo method. The influence of distribution properties, lengths of series, and trend slopes is studied. Results indicate good size in all cases. The power is high for: length over 60 and strong trend slope, low or medium variation, and medium slope. The power declines if slope and length decrease and if variability increases. The properties are better for skewed distributions than for symmetrical. The test is slightly weaker in comparison to the Mann–Kendall test.     

Sample Size Determination for Logistic Regression: A Simulation Study

This article considers the different methods for determining sample sizes for Wald, likelihood ratio, and score tests for logistic regression. We review some recent methods, report the results of a simulation study comparing each of the methods for each of the three types of test, and provide Mathematica code for calculating sample size. We consider a variety of covariate distributions, and find that a calculation method based on a first order expansion of the likelihood ratio test statistic performs consistently well in achieving a target level of power for each of the three types of test.     

Simultaneous inferences for ordered exponential location parameters under unbalanced data and heteroscedasticity of scale parameters

A test procedure for testing homogeneity of location parameters against simple ordered alternative is proposed for k(k ≥ 2) members of two parameter exponential distribution under unbalanced data and heteroscedasticity of the scale parameters. The relevant one-sided and two-sided simultaneous confidence intervals (SCIs) for all k(k ? 1)/2 ordered pairwise differences of location parameters are also proposed. Simulation-based study revealed that the proposed procedure is better than the recently proposed procedure in terms of power, coverage probability, and average volume of SCIs. The implementation of proposed procedure is demonstrated through real life data.     

The compound class of linear failure rate-power series distributions: Model,properties, and applications

In this article, a new class of distributions is introduced, which generalizes the linear failure rate distribution and is obtained by compounding this distribution and power series class of distributions. This new class of distributions is called the linear failure rate-power series distributions and contains some new distributions such as linear failure rate-geometric, linear failure rate-Poisson, linear failure rate-logarithmic, linear failure rate-binomial distributions, and Rayleigh-power series class of distributions. Some former works such as exponential-power series class of distributions, exponential-geometric, exponential-Poisson, and exponential-logarithmic distributions are special cases of the new proposed model. The ability of the linear failure rate-power series class of distributions is in covering five possible hazard rate function, that is, increasing, decreasing, upside-down bathtub (unimodal), bathtub and increasing-decreasing-increasing shaped. Several properties of this class of distributions such as moments, maximum likelihood estimation procedure via an EM-algorithm and inference for a large sample, are discussed in this article. In order to show the flexibility and potentiality, the fitted results of the new class of distributions and some of its submodels are compared using two real datasets.     

Comparisons of tests of distributional assumption in Poisson regression model

Count data consists of discrete non-negative integer values. Poisson regression model is one of the most popular model used to model count data. This model assumes that response variable has Poisson distribution. The purpose of this article is to assess distributional assumption of this model by using some goodness of fit tests. These tests are compared in respect to type I error and power rates of tests with different samples, parameters and sample sizes. Simulation study suggests that the most powerful tests are generally Dean–Lawless and Cameron–Trivedi score tests.