基于灰色聚类的社会评价模型及省辖市的实证

根据"坚持以人为本,全面、协调、可持续发展"的科学发展观的内涵,根据人民生活质量,教育卫生等五个准则层构建了社会综合评价指标体系。利用三角白化权函数理论,建立了基于灰色聚类的社会综合评价模型,并采用辽宁省14个地区的截面数据进行了实证研究。本文的创新与特色一是通过将可观测的国民幸福指数纳入评价体系,反映了人们对自身生存和发展状况的感受和体验,改变了现有评价没有考虑人民幸福程度的缺点。二是通过人均可支配收入和最低生活保障线等可获得数据指标计算准基尼系数,间接反映了社会发展过程中的收入分配差距现象,解决了现阶段因辽宁省未统计基尼系数指标而无法对社会发展进行科学评价的问题。三是通过在灰色聚类评价模型中通过熵权法确定指标权重使权重结果客观并唯一,避免了主观赋权方法得出的因人而异的现象。四是运用灰色聚类模型对辽宁省各地区社会发展进行聚类评价,有效地揭示了辽宁省各地区社会发展的不平衡性特征。     

Measuring operational excellence: an operational excellence profitability (OEP) approach

The pursuit of operational excellence in the manufacturing industry is at rise but its measurement still lacks of appropriate indicators to determine its financial benefits. The ambiguity is due to the impact arisen from manufacturing fluctuations such as price and cost, production mix and direct and indirect parameters variations. Manufacturing fluctuations distort the cost benefit of operational excellence. This paper, therefore, proposes the OEP (Operational Excellence Profitability) indicators to isolate the impact of manufacturing fluctuation and distinctly identify the payback of operational excellence strategies and initiatives through cost benefits of achieving higher efficiency and yield. The paper presents the conceptual and mathematical development of the proposed OEP indicators and the formulas used for their calculation. Hypothetical and industrial-based investigations and applications of the OEP indicators are conducted for their validation. The results obtained from the hypothetical exercise and industrial case suggest that OEP indicators can provide an effective cost-benefit analysis of operational excellence. This would contribute in providing manufacturing organizations with more complete information regarding the performance of their processes, which will allow their directors and managers to take better decisions related to the management and improvement of their processes.     

Efficiency and effectiveness of knowledge management systems in SMEs

This paper proposes a 3D fuzzy logic methodology to assess the efficiency and effectiveness of knowledge management systems (KMSs) adopted by small and medium enterprises (SMEs) and identifies a classification bringing together the behaviour of SMEs when adopting KMSs. The proposed methodology was previously tested on an individual SME and then implemented on a sample of SMEs. The results highlight that there is an ample variety of behaviours related to the nature of knowledge and the KMSs used. Specifically, four typologies of behaviour are identified: the efficient and effective SME, the effective but inefficient SME, the efficient but ineffective SME, and the inefficient and ineffective SME. The results show that only 18% of surveyed SMEs are efficient and effective for both KM-Tools and KM-Practices, the remaining 82% are inefficient or ineffective for KM-Tools and/or KM-Practices. Lastly, the paper shows how this methodology may be used by an SME as a managerial tool to suggest appropriate changes to improve the efficient and effective adoption of KMSs supporting SMEs in the knowledge management processes.     

技术指标能够预测商品期货价格吗? 来自中国的证据

基于移动价格平均、动量和移动交易量平均三类技术指标,研究了其对中国大宗商品期货价格的预测效果,并以基于宏观变量的预测为基准比较分析了其预测能力.主要结论如下,第一,技术指标能够在样本内和样本外检验中有效预测我国大宗商品期货价格,其预测效果显著超过已有文献中广泛使用的宏观经济指标.第二,对于不同的模型设定和数据频率,技术指标预测效果表现稳健.第三,从资产配置角度出发,基于技术指标的预测具有显著经济意义,能够显著提高资产配置效率,获得超额收益.相关结果能够为大宗商品投资及风险管理提供经验和策略支持.     

Global product development projects: measuring performance and monitoring the risks

Abstract

This article investigates the development and application of key performance indicators for global product development. Two in-depth, longitudinal case studies with multinational Danish manufacturing companies were conducted, and highlight how key performance indicators, typically used for collocated, cross-functional product development, do not provide the predictive insight required to avoid the additional risks encountered in the global product development environment. Grounded in the case study results and building on established methodologies in performance measurement literature, a framework was developed and validated in two additional Danish companies to support project managers to develop: preventive indicators, which support the avoidance of identified risks, and outcome indicators, which support the measurement towards the attainment of project objectives. The study is unique as it is one of the very few longitudinal studies of engineering design activities in a global context, providing the in-depth contextual understanding towards key risks and their influence on performance; an important step to support researchers and practitioners with the development of preventive measures.     

管理研究者和实践者共同语言的构建

管理研究者与实践者之间存在着沟通鸿沟,这一障碍的存在既不利于管理研究的发展,又不利于管理实践的改善。基于此,从意义构建角度,提出了消除这种鸿沟的方法,即通过"差异辨识-制定规则-选择问题-形成协作"4个阶段的合作,以及构建管理研究的评价体系,减少管理研究和管理实践间的不对称性,促进两者间的有效沟通,从而实现面向实践的管理研究的良性发展。     

Evaluation of performance of European cities with the aim to promote quality of life improvements

This paper explores the possibilities presented by DEA to assess quality of life and evaluate the performance of city managers in what concerns the promotion of urban quality of life. Using the data provided by the Urban Audit program, from the European Union, we defined the city profile regarding quality of life for 206 cities. Two approaches are presented: the construction of a composite indicator of quality of life and the assessment of local management performance, contextualised by the GDP per capita to measure the ability of local authorities to promote quality of life given the economic condition of the country. The results identify the cities with urban best practices and present a model of intervention for the cities considered inefficient, based on benchmarking principles.     

基于非财务指标的企业财务危机模糊预警模型研究

针对企业财务危机预警难以做到真实、准确的问题,提出了基于非财务指标的企业财务危机模糊预警模型。应用多级模糊综合评判法对财务风险因素进行定量化评价,对定性的非财务指标采用模糊统计的方法,从定量与定性相结合的角度出发,构建了财务危机的模糊预警模型,并对其进行了检验,以期使预警结果更加真实、准确。     

Framing socioecological complexity: The long-term evolution of multiple dimensions of desertification risk in Italy

Desertification risk depends on the interplay of biophysical and socioeconomic drivers, among which climate change, soil depletion, landscape modifications, and biodiversity decline are key factors of change in Southern Europe. The present study introduces a diachronic analysis of desertification risk in Italy adopting a multidimensional approach based on four dimensions (ecological, economic, demographic, and administrative) assessed at three dates (1961, 1991, and 2011). These risk components were evaluated separately in Southern Italy, a formerly affected region (sensu United Nations Convention to Combat Desertification), and Northern/Central Italy, a nonaffected region in the country. All risk measures document how the divide between affected and nonaffected regions in Italy has gradually reduced. Because of local warming and rising human pressure, Northern Italy has recently displayed a level of desertification risk close to those observed in Southern Italy over the last 30 years. These results suggest a thorough revision of the national classification of risky areas, that may inform more specific mitigation and adaptation policies responding effectively to recent socioenvironmental trends and local (economic) dynamics. The intrinsic system's evolution observed at both regional and national level in Italy may be generalized to a broader European context. Our work finally documents the appropriateness of a multidimensional definition of desertification risk grounded on the joint analysis of ecological, demographic, economic, and administrative indicators. A comprehensive knowledge of socioeconomic patterns and processes of change contributes to more precise scenario modeling and design of integrated strategies mitigating desertification risk.     

Small area estimation for longitudinal surveys

Over the last few years many studies have been carried out in Italy to identify reliable small area labour force indicators. Considering the rotated sample design of the Italian Labour Force Survey, the aim of this work is to derive a small area estimator which borrows strength from individual temporal correlation, as well as from related areas. Two small area estimators are derived as extensions of an estimation strategies proposed by Fuller (1990) for partial overlap samples. A simulation study is carried out to evaluate the gain in efficiency provided by our solutions. Results obtained for different levels of autocorrelation between repeated measurements on the same outcome and different population settings show that these estimators are always more reliable than the traditional composite one, and in some circumstances they are extremely advantageous.The present paper is financially supported by Murst-Cofin (2001) Lutilizzo di informazioni di tipo amministrativo nella stima per piccole aree e per sottoinsiemi della popolazione (National Coordinator Prof. Carlo Filippucci).