剔除环境因素影响的煤化工企业转型升级效率评价研究

煤化工企业转型升级效率问题是实现企业高质量发展过程中的关键问题之一,为了更加客观且真实地反映煤化工企业的转型升级效率,依据行业特性,构建出煤化工企业转型升级效率评价指标体系,并将博弈交叉效率DEA模型与SFA回归模型相结合,提出了一个改进的三阶段DEA模型,利用该模型对煤化工企业转型升级效率进行评价,不仅可以剔除环境因素对效率值的影响,而且有效避免了传统三阶段DEA模型可能造成的伪有效情况.通过案例分析,样本企业转型升级效率总体较低,且明显受到了环境因素的影响.对投入要素与转型升级效率进行聚类分析,将煤化工企业转型升级生产模式划分为4种类型,分别为每种类型的企业指出了提升其转型升级效率的方法与建议.     

基于可拓学的小微企业创业创新基地综合评价研究

小微企业创业创新基地是开展创业创新活动的重要载体,对其建设水平进行评价研究,有利于指导区域要素集聚,促进基地的高水平建设和发展。本研究基于创业生态系统理论,构建小微企业创业创新基地理论模型,并从创业服务、创新服务、资源网络、价值创造4个方面构建评价模型;设置山西省小微企业创业创新基地的综合评价指标体系,用可拓学方法对基地的建设水平进行实证评价研究;对结果进行分析讨论,结合双创示范经验提出山西省小微企业创业创新基地的发展对策。为小微企业创业创新基地的建设与评价研究提供一定的理论参考。     

图书馆文献资源供应商评价测度实证研究

在吸收与借鉴国内外供应商评价测度与选择相关研究成果的基础上,结合文献资源供应商选择特点,提出了六个测度维度所构成的图书馆文献资源供应商评价测度指标体系假设模型。运用实证研究的方法,采用主客观相结合的三阶段分析法对所获得的调查问卷进行统计分析,根据分析结果验证并修正所提出的假设模型,最终形成图书馆文献供应商评价测度指标体系。通过实证研究,以期为客观、科学地评价图书馆文献资源供应商提供有效的测量工具,从而为图书馆文献资源供应商选择的科学决策奠定了基础。     

多阶段并发的协同物流网络任务-资源集成调配模型

协同物流网络作为动态开放的网络需要整合多种资源,以完成多项并行的物流任务。为此,本文从物流服务集成商的角度,研究了带时间窗和资源约束的任务—资源集成调配问题。通过将物流任务分解为不同阶段,构造多阶段并发的协同物流网络任务—资源集成调配模型,并采用遗传算法对模型进行求解,以从候选资源集合中为任务阶段匹配合适的资源。算例结果表明,该模型能够有效实现N-N的任务-资源集成调配,使得协同物流网络的整体效益达到最优。     

基于可回收应急物资共享配置的微分博弈模型

灾害救援阶段经常存在着应急物资的过度供给,导致恢复阶段应急物资回收困难和浪费严重.共享经济为解决应急物资回收信息不对称和过度供给提供了新思路.但是,共享平台回收应急物资面临合理分配成本-收益的难题.从灾后恢复期的应急物资回收视角,构建以应急物资供应方企业、共享数据平台和需求方企业为参与主体的无成本分担决策、集中决策和成本分担决策三种应急物资配置微分博弈模型.得到如下结论,需求方支付给供应方的资源使用费满足一定条件时,成本分担决策可以提高需求方的匹配努力度,实现帕累托改进.集中决策在应急物资配置过程中任意时刻满足整体理性和个体理性的一致性,促使应急物资共享量和整体利润均达到最优.无成本分担决策实现局部最优,加重应急产业链的双重边际效应.     

苏浙皖企业家人力资本供给比较研究——基于博弈论与制度演化的视角

在企业持续成长过程中,企业家人力资本供给具有决定性作用。为此,文章基于博弈论与制度演化的视角,对苏浙皖三地企业家人力资本供给做了比较研究,给出国企经理与个私企业家两种不同博弈模型,并论证了相应企业的制度演进及其成长的差异性,最后给出研究结论。     

具有异质信息的风险投资商与投资企业双边匹配方法研究

鉴于风险投资商与投资企业双边匹配的特点及外界环境的复杂性与模糊性,构建了具有不同数据类型的风险投资商与投资企业双边匹配多目标优化模型,评价指标信息采用符合实际情况的实数、区间数、三角模糊数、语言变量、直觉模糊数来表示,同时利用熵权法处理风险投资商与投资企业关于各自评价指标的期望值求得评价指标的权重.选取评价指标的期望水平为参照点,基于前景理论,计算各评价指标的益损值,引入决策者风险偏好,得出风险投资商与投资企业满意度.最终构建风险投资商与投资企业多目标优化模型,并利用字典序法求解多目标优化模型·数值例子说明,所建模型与方法的可行性、有效性,可为解决风险投资商与投资企业匹配问题提供方法支持.     

面向师生感知满意度的双边匹配决策模型

为提高研究生新生(以下简称“研究生”)与导师对匹配方案的整体感知满意度,针对导师和研究生形成的一对多双边匹配问题,从行为科学视角,梳理师生双方对匹配方案感知的心理因素,结合前景理论解决此类问题。首先,将师生双向互选过程描述为一对多双边匹配问题,并将其转化为一对一双边匹配问题;接着,基于前景理论刻画双边主体在不同偏好序下的心理感知,构建师生双方基于偏好序的感知满意度函数;然后,建立稳定匹配条件下最大化师生整体感知满意度的双边匹配决策模型。最后,结合遗传算法对问题进行求解,并通过数值算例验证了算法及模型的有效性和可行性。     

基于大数据的在线课程熵权Topsis评价模型研究

为推动供给侧课程评价改革、提高在线课程质量,构建了基于大数据的在线课程评价模型,从课程资源构建、学习过程和教学成效3个方面评估在线课程质量,丰富了在线课程评价的理论模型和指标体系.利用因子分析和熵权法计算评价指标的权重,并将加权重的TOPSIS多属性决策排序跟专家综合打分评价结果做相关性分析,两者呈显著的正相关关系.模...     

基于ABMS的主流与新流创新资源动态配置机制研究

现有研究普遍认为领导者需要平衡二元创新中主流创新与新流创新之间的资源配置,但针对具体的资源平衡机制研究较少。本文采用基于主体建模与仿真(ABMS)的方法,将领导风格和资源柔性纳入二元创新资源配置动态模型,并在考虑风险和不确定性的条件下开展模拟仿真,研究发现:企业二元创新绩效与变革型领导风格倾向成正相关,与交易型领导风格倾向成负相关;变革型领导企业的创新绩效随资源柔性提高而增长,交易型领导企业与之相反;领导风格与资源柔性之间存在匹配性:变革型领导与高资源柔性正向促进企业创新绩效,交易型领导与低资源柔性更利于取得高绩效;企业创新绩效与创新风险呈“倒U形”关系。研究成果拓展了企业领导理论和二元创新理论,也为领导者适应风险、转变领导风格、调整资源柔性开展二元创新提供决策依据。     

上市公司经营业绩的多因素层次模糊评价

本在全面分析上市公司财务报告的基础上，引用模糊数学中的评价方法提出了评价上市公司经营业绩的指标体系，并应用隶属矩阵及其相关概念建立了多因素层次模糊评价模型，进而给出了评价的一般方法，能更客观地评价上市公司的经营业绩。     

A Fuzzy Multi-Criteria Outranking Approach in Support of Business Angels’ Decision Analysis Process for the Assessment of Companies as Investment Opportunities

In this paper, a multi-criteria method is presented for the evaluation and ranking of a selected set of companies as investment opportunities in aid of the relevant decision analysis process of business angels. The multi-criteria methodology is based on the PROMETHEE method, which is further extended to deal with fuzzy input data in order to address the data imprecision and uncertainty of the decision process. The paper concludes by suggesting a web-based system implementation of the proposed methodology, which will significantly enhance modern business angels networks.     

A Fuzzy Multi-criteria Outranking Approach in Support of Business Angels’ Decision-Analysis Process for the Assessment of Companies as Investment Opportunities

In this paper, a multi-criteria method is presented for the evaluation and ranking of a selected set of companies as investment opportunities in aid of the relevant decision-analysis process of business angels. The multi-criteria methodology is based on the PROMETHEE method, which is further extended to deal with fuzzy input data in order to address the data imprecision and uncertainty of the decision process. The paper concludes by suggesting a web-based system implementation of the proposed methodology, which will significantly enhance modern business angels networks.     

The stochastic evolution of rumors within a population

We study rumor propagation process with incubation and constant immigration. We take into account a deterministic rumor spreading model and demonstrate the persistence of a rumor when the basic reproduction number is greater than one. Due to the presence of a randomness in the influence that the incubators exert on ignorants, we extrapolate the deterministic rumor model to a stochastic one by using a stochastic coefficient for the term representing the latter influence within the system. The existence and boundedness of both local and global solutions are demonstrated. We prove the uniqueness of these solutions. Conditions of extinction is also established. We perform numerical simulations to verify our stochastic model. The present work can assist decision takers in the analysis of the dynamical evolution of rumors in a given society as well as in the study of information dissemination strategies.     

基于突变级数-灰靶的生鲜电商O2O成熟度模型

为了对生鲜农产品电商O2O水平做出评估,本文设计了生鲜电商与传统流通体系融合发展的成熟度模型,确定了成熟度模型五个层级的十七个关键过程域及其目标。通过实例,运用突变级数法和灰靶决策对超市生鲜农产品020的成熟度进行了评估,使其发现经营过程中的薄弱环节并改善,向成熟度更高一层级迈进。结合突变级数和灰靶决策的成熟度模型避免了赋权的主观性,既提高了生鲜农产品电商与传统流通体系融合发展成熟度模型评估的准确性,又不失可靠性、合理性以及科学性,具有重要的实用价值。     

Multiple objective data envelopment analysis as applied to the Indian Pharmaceutical Industry

The change of Intellectual Property Protection (IPP) from a softer process patenting to a stronger product patenting in Indian Pharmaceutical Industry (IPI) is attracting many global drug majors to source their production from India, which is the fourth largest producer of pharmaceuticals in the world. In this paper, the interests of different stake holders like the buyers (multinational enterprises), who are searching for efficient partners and the vendors (Indian drug producers) that are competing for the contracts, are analysed for a suitable efficiency evaluation criterion. The primary objective of this paper is to study how various firms in the IPI with different business strategies, competing for the same opportunities can find suitable benchmarking peer groups to meet the challenges of a dynamic business environment using data envelopment analysis (DEA). A multiple objective DEA model that determines suitable peer groups for inefficient companies is discussed along with more traditional DEA models. The proposed model has the flexibility to include inputs like R&D expenditure and outputs like Exports that are not homogeneously distributed across the firms and address the interests of various stake holders like buyers and vendors simultaneously.     

基于粒子群算法的模糊层次分析法改进及其应用研究

提出了基于粒子群算法(Particle Swarm Optimization)的模糊层次分析法(Fuzzy Analytic Hierarchy Process)模型,简称PSO-FAHP,将模糊判断矩阵一致性的检验、修正及各元素权重值的计算过程转化成非线性带约束系统优化问题,并利用粒子群算法实现了该问题的求解。构建了制造企业供应商选择评价指标体系,最后将该模型应用于制造企业供应商选择评价,结果表明,此模型能有效帮助企业选择较佳的供应商,对供应链构建有一定的指导意义。     

共享平台下供应链闲置资源动态优化配置策略

随着共享经济的发展,其领域已从消费环节延伸到供应链层面。供应链上闲置资源如何重新配置,以实现共享,提高资源利用率,是共享供应链企业面临的新问题。本文考虑基于共享平台的供应链闲置资源匹配过程的动态性,利用微分博弈和动态规划原理分别建立集中式决策下、无成本分担和有成本分担契约的分散式决策下共享供应链闲置资源的优化配置模型,并构建对应的哈密顿-雅克比-贝尔曼(HJB)方程,求解和分析三种情形下资源供应方、共享平台和需求方关于供应链共享闲置资源的最优配置策略。结果表明,成本分担契约在一定条件下可提高供应链闲置资源参与方的积极性,并使供应链上各参与方利润增加,实现共享供应链的Pareto改进。     

以质取胜——企业技术创新与经营绩效

本文选择创新型上市公司2006~2013年的数据为样本,实证检验专利产出对企业经营绩效的影响。结果发现,专利数量的剧增对企业经营绩效有显著的负向影响,专利质量才能促进企业经营绩效的改善。专利质量对高科技企业、国有企业和知识产权保护好地区的企业经营绩效具有显著的促进作用。进一步研究发现,专利质量通过影响企业在产品市场中的市场势力进而作用于经营绩效。最后,为提升企业的专利质量,本文从企业自身和政府部门两个角度提出对策建议。     

Detecting inefficiently managed categories in a retail store

Growth in operational complexity is a worldwide reality in the retail industry. One of the most tangible expressions of this phenomenon is the vast increase in the number of products offered. To cope with this problem, the industry has developed the ‘category management’ approach, in which groups of products with certain common characteristics are grouped together into ‘categories’, managed as if they were independent business units. In this paper, we propose a model to evaluate relative category performance in a retail store, considering they might have different business objectives. Our approach is based on Data Envelopment Analysis techniques and requires a careful definition of the resources that categories use to contribute to achieving their business objectives. We illustrate how to use our approach by applying it to the evaluation of several categories in a South American supermarket. The empirical results show that, even for very conservative assumptions, the model has a significant discriminatory power, identifying 25% of the sample as not operating efficiently. Although efficiency scores might exhibit a relatively large dispersion, the set of efficient units is robust to data variations.