基于混合加权距离的毕达哥拉斯模糊TOPSIS多属性决策方法研究

针对决策信息为毕达哥拉斯模糊集的多属性决策问题，提出了一种基于混合加权测度的TOPSIS决策方法。在分析了现有距离测度方法不足的基础上，首先给出了一种新的毕达哥拉斯模糊距离测度——毕达哥拉斯模糊有序加权距离（PFOWD），并研究了该测度权重的确定方法；在PFOWD基础上，进一步提出了毕达哥拉斯模糊混合加权距离（PFHWD），同时探讨了其特征和与现有毕达哥拉斯模糊测度的关系；最后提出了一种基于PFHWD测度的毕达哥拉斯模糊TOPSIS多属性方法，并用实例验证了方法的有效性和可行性。     

问责-避责关系新解：基于“行动-制度-环境”框架

问责与避责间的关系是责任政治研究的重要议题,其中,问责导致避责的机制亟待探究。以X县早稻生产政策过程为例,基于“行动-制度-环境”的分析框架,探讨上级问责与基层避责之间的关系机制。研究发现：基层干部避责行为是上级问责制度与基层社会环境共同作用的结果,是作为责任者的基层干部面对上级问责压力和农民抗拒压力的理性选择。为贯彻落实非粮化整治政策,上级通过责任分配、责任考核和督查问责制度,给基层干部施加了巨大的早稻生产责任压力。而农民在长期的生产历史过程中已经形成了以中稻种植模式为主导的、较为稳定的生产秩序,拒不执行早稻生产政策。承受双重压力的基层干部只能采取责任兜底的属地化机制、利益交换的市场化机制和联合避责的科层化机制来规避上级问责风险。作为行动者的基层干部运用自由裁量权,通过隐匿信息、集体负债等方式,在一定程度上改变了既有的制度-环境,再造了基层治理结构。     

基于混合智能算法的电子市场供应链期权合同协调

在电子市场环境下,考虑了需求、市场价格和市场准入程度的随机性,基于Stack-erlberg主从对策,建立了供应链期权合同协调的随机期望值模型。在这一主从对策模型中,主方供应商的目标函数是预期利润,决策变量是期权合同预订费用和执行费用;从方分销商的目标函数是预期利润,决策变量是订货量。应用包括随机模拟、人工神经元网络和遗传算法组成的混合智能算法求解该主从对策问题。最后,结合上海宝钢集团益昌公司电子商务的运作实例,运用混合智能算法进行了仿真计算与分析。     

Nonprofit organizations in between the nonprofit and market spheres: Shifting goals,governance and management?

In spite of the belief instilled by the New Public Management reforms that nonprofit organizations (NPOs) can benefit from more management, more measurement and more market practices, systematic knowledge on the organizational effects of NPOs incorporating business practices in their day‐to‐day functioning remains absent to date. This research note addresses this limitation by reviewing 49 research articles. The focus lies on the redefinition of nonprofits' mission and income streams, changing governance arrangements and shifting management practices. We find that, despite numerous detrimental effects cited in the literature, (a) generating commercial income can contribute to the financial stability of NPOs, and (b) hybridization towards the market domain can strengthen the organizational legitimacy of NPOs, suggesting that imitating for‐profit enterprises might contribute to nonprofit functioning in perception, rather than in practice.     

Inference for Weibull distribution under adaptive Type-I progressive hybrid censored competing risks data

In this paper, a competing risks model is considered under adaptive type-I progressive hybrid censoring scheme (AT-I PHCS). The lifetimes of the latent failure times have Weibull distributions with the same shape parameter. We investigate the maximum likelihood estimation of the parameters. Bayes estimates of the parameters are obtained based on squared error and LINEX loss functions under the assumption of independent gamma priors. We propose to apply Markov Chain Monte Carlo (MCMC) techniques to carry out a Bayesian estimation procedure and in turn calculate the credible intervals. To evaluate the performance of the estimators, a simulation study is carried out.     

Measures of accountability and delegated discretion in activation work: lessons from the Norwegian Labour and Welfare Service

Activation work – the complex task of motivating, compelling and assisting marginalized citizens into labour market participation – pinpoints critical issues of discretion and accountability in the welfare state. Investigating accountability measures aimed at ensuring qualified discretionary judgements is therefore important. In this article, I discuss the reformed Norwegian Labour and Welfare Service and the accountability measures aimed at discretionary judgements of frontline workers. The conclusion is that, because activation tasks in the Norwegian frontline service imply professional discretion more than administrative discretion, structural measures aimed at restricting the discretionary space of frontline workers seem to have only limited impact. This is because the knowledge necessary to perform means – end judgements is insufficient. Rather, there seems to be a need for epistemic measures aimed at improving the knowledge base for professional discretionary reasoning.     

What makes hybrid insourcing successful: A new public–private partnership model for social welfare services

Outsourcing has been a key policy tool for delivering a range of social services, and regarded as more effective than insourcing or direct government provision. At the same time, it has also caused many delivery issues such as principal‐agent problems, a lack of policy coordination, and poor‐quality welfare services. While the pendulum continues to swing between insourcing and outsourcing, we aim to propose a new public–private partnership model called the “hybrid insourcing model” and examine which factors influence the performance of the model. In South Korea, around 2010, the local government in Namyangju City was the first to implement the “Hope Care Center model,” a kind of hybrid insourcing model, which has been praised for its innovation and widely emulated by central and local governments. Our analysis utilizes data collected between December 2017 and January 2018 from public sector employees and civilian staff in Namyangju and a comparable city, A. From this, we draw a number of implications, both for theory and for policy. We argue that, for public–private partnerships, active cooperation and equality are the biggest factors in contributing to positive performance. These work alongside leaders with a clear vision and with employees' positive attitude.     

Open Data on a Closed Shop? Assessing the potential of transparency initiatives with a focus on efforts to strengthen capacity development support

Despite strong political commitment, actual gains in improving accountability in development co‐operation have been limited. Main reasons for this include the low level of transparency and high number of actors, as well as the limitations of the self‐reported and input‐oriented OECD reporting system. Efforts through the International Aid Transparency Initiative (IATI) and related transparency initiatives are ill‐equipped to change this given their decision to adhere to the same system. This article uses the specific area of support to capacity development to illustrate this. While further disaggregation of reporting on technical co‐operation could respond to a transparency gap, overcoming the accountability gap requires moving beyond promoting ‘supply‐side’ reform and re‐engaging in efforts to promote collective action.     

基于可信性理论的Mean-CVaR投资组合优化

选取CVaR作为风险度量指标,在可信性理论的基础上构建Mean-CVaR投资组合模型,采用Markov过程预测作为模糊变量的预期投资收益率,并设计基于模糊模拟和遗传算法的混合智能算法以求解;选取上证50成份股2013—2014年的日度历史交易数据,将该模型应用到中国证券市场,结果发现该投资组合模型与中国证券市场的环境具有一定的适应性,能够为投资者的投资决策提供依据。