Human resource development in small organizations

This article draws upon case-study research into human resource development (HRD) within three small organizations in the north west of England. It positions the case-study work within an overall framework of doctoral research and summarizes the research design; discusses the characteristics and values of small organizations and how they influence HRD policies and practices: presents findings and conclusions about HRD in the case-study organizations, focusing in particular upon one case in the voluntary sector; compares and contrasts the different models of HRD in the three cases; and concludes with some suggestions for further research.     

The State and Civil Society in Disaster Response

Abstract

This paper, based on the report “The State and Civil Society in Disaster Response: An Analysis of the Tamil Nadu Tsunami Experience,” (Srinivasan, Nagaraj, & Venkatesh, 2005) is essentially an empirical analysis of state and civil society responses in Tamil Nadu (India) to the tsunami of December 26, 2004. It examines interventions by state and non-state agencies, as well as people's experiences in the relief and rehabilitation phases to identify factors influencing both positive and negative outcomes of the tsunami response. Issues related to vulnerability and exclusion, equity, transparency and accountability in different sectors of disaster intervention are explored to highlight themes revolving around reach and efficacy of relief and recovery processes. These analyses bring out some interesting lessons with regard to the importance of institutional autonomy, non-politicized decision-making, and synergetic state-civil society interfaces in fostering inclusive, transparent and accountable rehabilitation processes. The roles played by institutional responsiveness and flexibility in shaping an effective disaster response also emerge very clearly from this study of the Tamil Nadu experience. Another crucial finding points to the need for detailed, reliable and disaggregated geo-demographic and socioeconomic records as a resource base for informing relief and rehabilitation interventions. The study draws extensively from the experiences and insights of people affected by, and involved in tsunami response, and from secondary knowledge resources available on the disaster.     

Variance bounds for estimators in autoregressive models with constraints

We consider nonlinear and heteroscedastic autoregressive models whose residuals are martingale increments with conditional distributions that fulfil certain constraints. We treat two classes of constraints: residuals depending on the past through some function of the past observations only, and residuals that are invariant under some finite group of transformations. We determine the efficient influence function for estimators of the autoregressive parameter in such models, calculate variance bounds, discuss information gains, and suggest how to construct efficient estimators. Without constraints, efficient estimators can be given by weighted least squares estimators. With the constraints considered here, efficient estimators are obtained differently, as one-step improvements of some initial estimator, similarly as in autoregressive models with independent increments.     

民国企业家刘国钧人力资源管理研究

1930年常州大成纺织染有限公司由民族企业家刘国钧创办,时值1929-1933年世界经济危机,而大成纺织染有限公司在不到8年的时间内,发展迅速,创造了近代中国企业史的奇迹。大成奇迹的出现与刘国钧重视企业人力资源管理是分不开的。刘国钧人力资源管理思想体现了传统与现代的结合,刘国钧甄选人才、培养人才、发展职工福利、积极发挥职工的主体性和积极性,使企业化危为机。     

Affective and Cognitive Factors Influencing Sensitivity to Probabilistic Information

In study 1 different groups of female students were randomly assigned to one of four probabilistic information formats. Five different levels of probability of a genetic disease in an unborn child were presented to participants (within‐subject factor). After the presentation of the probability level, participants were requested to indicate the acceptable level of pain they would tolerate to avoid the disease (in their unborn child), their subjective evaluation of the disease risk, and their subjective evaluation of being worried by this risk. The results of study 1 confirmed the hypothesis that an experience‐based probability format decreases the subjective sense of worry about the disease, thus, presumably, weakening the tendency to overrate the probability of rare events. Study 2 showed that for the emotionally laden stimuli, the experience‐based probability format resulted in higher sensitivity to probability variations than other formats of probabilistic information. These advantages of the experience‐based probability format are interpreted in terms of two systems of information processing: the rational deliberative versus the affective experiential and the principle of stimulus‐response compatibility.     

"智慧城市"助力我国城市发展模式转型

“智慧城市”是IBM公司在全球化背景下针对社会变化、科技发展、市场实践和全球重大问题所提出的全新理念，它也为解决我国城市发展面临的难题提供了手段。我们应正视“智慧城市”带来的好处及可能引发的不利影响，抓住机遇，积极应对，推动城市走上科学发展之路。’     

信息系统静态资源管理的研究与实现

针对通信运营商数据资源类型复杂、数量庞大的特点,研究静态资源管理信息系统,并通过对资源数据的采集模式和数据处理分析方式等研究,形成一整套较为完整的系统,从而实现静态资源的信息化管理。     

基于DEA的动态资源分配——生产计划中的应用

针对基于DEA的资源规划方法没有考虑到多期的生产过程以及现有的生产计划和控制方法定量研究的不足，提出了安排多期生产计划的设想，构建了基于DEA方法的多期生产计划模型。基于DEA的视窗分析方法不断更新历史数据可以实现对未来的多期生产计划进行安排，在满足市场需求的条件下，通过合理的分配各种资源投入使生产过程得到优化。最后用模拟的企业生产数据验算该模型，以成本最小为目标得到企业每一期的各种资源投入、产出以及库存信息。     

Nonparametric estimating equations based on a penalized information criterion

It has recently been observed that, given the mean‐variance relation, one can improve on the accuracy of the quasi‐likelihood estimator by the adaptive estimator based on the estimation of the higher moments. The estimation of such moments is usually unstable, however, and consequently only for large samples does the improvement become evident. The author proposes a nonparametric estimating equation that does not depend on the estimation of such moments, but instead on the penalized minimization of asymptotic variance. His method provides a strong improvement over the quasi‐likelihood estimator and the adaptive estimators, for a wide range of sample sizes.