水力发电企业整体效益评价及实例

针对水力发电企业的整体经济效益难以进行评价的问题,提出了以灰色关联度技术为支撑,选择数量模型评价方法,应用层次分析法的有关技术和思想,建立起具有可操作性的评价模型及评价体系。     

Chemical and Radiation Environmental Risk Management: Differences, Commonalities, and Challenges

Driven by differing statutory mandates and programmatic separation of regulatory responsibilities between federal, state, and tribal agencies, distinct chemical and radiation risk management strategies have evolved. In the field this separation poses real challenges since many of the major environmental risk management decisions we face today require the evaluation of both types of risks. Over the last decade, federal, state, and tribal agencies have continued to discuss their different approaches and explore areas where their activities could be harmonized. The current framework for managing public exposures to chemical carcinogens has been referred to as a "bottom up approach." Risk between 10(-4) and 10(-6) is established as an upper bound goal. In contrast, a "top down" approach that sets an upper bound dose limit and couples with site specific As Low As Reasonably Achievable Principle (ALARA), is in place to manage individual exposure to radiation. While radiation risk are typically managed on a cumulative basis, exposure to chemicals is generally managed on a chemical-by-chemical, medium-by-medium basis. There are also differences in the nature and size of sites where chemical and radiation contamination is found. Such differences result in divergent management concerns. In spite of these differences, there are several common and practical concerns among radiation and chemical risk managers. They include 1) the issue of cost for site redevelopment and long-term stewardship, 2) public acceptance and involvement, and 3) the need for flexible risk management framework to address the first two issues. This article attempts to synthesize key differences, opportunities for harmonization, and challenges ahead.     

Management consultancy’s role in delivering lasting [triple bottom line] benefits

Abstract

Management consultants have become ubiquitous in helping improve organizational performance. This paper presents an investigation of the impact of their interventions on organizational sustainability and growth through the performance improvement work carried out for and with their clients. The paper presents the findings of a questionnaire survey of 440 respondents from 206 countries; 197 of respondents were Small and Medium Sized Enterprises (SMEs) and 243 from large organizations. There is a particular focus on knowledge transfer in terms of urgency and impact of the work with regard to the extent to which consulting interventions in SMEs, as well as large multinational corporations, embed long-term sustainability practices.     

Knowledge sharing for innovation performance improvement in micro/SMEs: an insight from the creative sector

Abstract

As economies become more reliant on innovative, knowledge-intensive firms, understanding the interaction between knowledge and improving innovation performance is increasingly important. Although most UK businesses are micro, small or medium-sized enterprises (micro/SMEs), knowledge management research has tended to focus on large companies Knowledge sharing can be critical for innovation performance, especially for smaller players with limited resources. Our study presents an insight from micro/SMEs operating in the highly knowledge-intensive and innovative games/entertainment software development sector. Using a mixed method approach, we investigate knowledge sharing and its contribution to firm innovation performance improvements. Our findings suggest that micro/SMEs are at the forefront of the creative sector precisely because of their smaller size. Our study reveals evidence of knowledge donation but limited evidence of knowledge collection in the knowledge sharing process. We develop a model highlighting the importance of industry context, individual knowledge and organizational size in knowledge sharing for innovation performance.     

Challenges to the Acceptance of Probabilistic Risk Analysis

This paper discusses a number of the key challenges to the acceptance and application of probabilistic risk analysis (PRA). Those challenges include: (a) the extensive reliance on subjective judgment in PRA, requiring the development of guidance for the use of PRA in risk-informed regulation, and possibly the development of robust or reference prior distributions to minimize the reliance on judgment; and (b) the treatment of human performance in PRA, including not only human error per se but also management and organizational factors more broadly. All of these areas are seen as presenting interesting research challenges at the interface between engineering and other disciplines.     

Is there a relationship between burnout and objective performance? A critical review of 16 studies

Previous research has suggested that high levels of burnout lead to impaired functioning on the job. However, as this research has usually relied on self-reported performance, it is imperative to examine whether this association is also confirmed when using “objective” performance data (e.g., supervisor reports). This study reviewed previous research on the associations between burnout (exhaustion, depersonalization, and personal accomplishment) and various types of objective performance. A systematic literature search identified 16 studies dealing with the burnout-performance relationship. These studies showed the wide variety of approaches that are used to study burnout and objective performance. Using data from these 16 studies, a meta-analysis was conducted to obtain mean correlations. The meta-analytical correlations between exhaustion and in-role behaviour (based on five studies), organizational citizenship behaviour (OCB; five studies), and customer satisfaction (two studies) were -.22, -.19, and -.55, respectively, underlining the practical relevance of burnout research for organizational performance. The evidence for the relationships between depersonalization, personal accomplishment, and performance was inconclusive. Future research should focus on valid indicators of job performance, should more often employ longitudinal designs and large samples, and should consider the theoretical basis for the study expectations more extensively.     

社会科学理论体系的基本结构、评价标准与建构方法

社会科学理论体系是正确反映社会客体本质和规律的理性知识,它是由基本原理、经验知识和逻辑方法构成的整体系统,其基本评价标准包括客观实证、逻辑自洽、构造简单和理论预见四个方面。建立理论体系是社会科学基础研究的直接目的,为此所运用的最一般的建构方法主要是历史与逻辑相统一的方法、由抽象上升到具体的方法、公理化方法、原型移植方法和理想化方法等。     

Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods

Summary.  Recently several studies have analysed active labour market policies by using a recently proposed matching estimator for multiple programmes. Since there is only very limited practical experience with this estimator, this paper checks its sensitivity with respect to issues that are of practical importance in this kind of evaluation study. The estimator turns out to be fairly robust to several features that concern its implementation. Furthermore, the paper demonstrates that the matching approach per se is no panacea for solving all the problems of evaluation studies, but that its success depends critically on the information that is available in the data. Finally, a comparison with a bootstrap distribution provides some justification for using a simplified approximation of the distribution of the estimator that ignores its sequential nature.     

CAI函数图形发生器FGG的设计与实现

介绍在Ｗｉｎｄｏｗｓ环境下用ＢｏｒｌａｎｄＣ＋＋３．１开发的通用函数图形发生器的结构和功能，讨论了实现中的表达式求值算法和图形生成算法。ＦＧＧ的主要特点是，对输入的任意一元、二元函数表达式可直接生成对应的二维和三维图形。ＦＧＧ作为ＣＡＩ写作工具的支撑软件，可用于ＣＡＩ课件的开发及演示。     

GI／G／1可修排队系统的注记

在文献［１］的基础上，进一步分析了在服务台可修的ＧＩ／Ｇ／１排队系统中服务台的如下可靠性问题：１）在忙期内的失效次数；２）在时间（０，ｔ］内的平均失效次数的近似计算；３）在忙期内的失效时间和工作时间；４）在时间（０，ｔ］内平均失效时间的近似计算，并且得到一些新的可靠性参数的计算结果。