化工企业责任关怀对企业绩效的影响研究

本文借鉴国外成熟的实证研究方法体系,结合我国的实际情况,建立适合我国国情的责任关怀评价指标体系,并对化工企业承担责任关怀对企业绩效影响进行了模型构建及实证研究。实证研究的结果表明:化工企业承担责任关怀对企业绩效存在显著性正影响,在五个利益相关者纬度中,社区纬度、员工消费者纬度对企业绩效的影响最大。     

基于因子分析的产学研协同创新绩效评价研究

创新是引领发展的第一动力,产学研协同创新是提高创新效率的有效途径.从绩效评价角度出发,选取我国31个省级行政区域,基于因子分析方法,构建产学研协同创新绩效评价体系,并实证分析了产学研协同对中国区域创新绩效的影响.研究表明:各省市产学研创新绩效协同度及创新绩效整体偏低;学研方创新能力和参与度占据主要作用:加大政府、企业与科研机构的合作对区域创新绩效产生积极影响.通过客观地衡量各区域产学研协同创新绩效水平,以期达到对多个创新主体间协同行动及其效应的科学观测与全面评价.     

商业模式对企业绩效的影响机理与实证研究——基于商业生态系统视角

以商业生态系统为研究视角,利用结构方程模型对企业商业模式与企业绩效之间的关系进行实证分析.主要结论有:企业商业模式的中间影响者、直接影响者和直接驱动者对企业绩效有显著影响,但商业模式的稳定影响者对企业的财务绩效影响不明显,对企业的市场绩效有显著影响.此外,企业的市场绩效对企业的财务绩效有显著的正向影响.研究结果表明:要实现企业业务价值,提升企业绩效,一是要强化商业模式各要素之间的联系,二是要增强稳定影响者匹配性,三是要关注直接影响者,夯实竞争基础.     

医药产学研联盟创新决策、创新危机与利润分配

以我国医药行业产学研合作创新为现实背景,构建两家相互竞争的制药企业与学研机构的双边纳什议价模型,分析企业的创新价值和议价能力对联盟成员绩效的影响,探讨合作创新对药品价格、企业市场份额、经营绩效和社会福利的影响,研究制药企业创新战略的选择决策及创新对企业可能的危险。通过模型分析,得到如下结论:产学研合作创新能够提高社会总福利,但不一定提高制药企业的绩效和药品的价格;议价能力强的制药企业不一定总是获得高利润,企业最终的利润受到企业自身及竞争者的议价能力、创新价值的共同影响;虽然产品创新能够提高消费者的购买意愿,但盲目跟风创新可能会带来双输的结果。本研究对促进医药行业的产学研合作,提高产学研合作的有效性具有现实意义。     

组织学习动态能力与企业绩效之间关系的实证研究

论文将动态能力作为解释组织学习和企业绩效间关系的中介变量.采用结构方程方法建立了其关系模型,以制造业部分上市公司为例,通过问卷调查、信度效度分析、回归分析验证提出的假设,研究理论模型符合可接受的适合度检定水平.实证研究结果表明制造业企业组织学习对动态能力影响显著且动态能力对企业绩效影响显著,组织学习对企业绩效直接影响较弱,动态能力中介作用明显.     

动态能力、知识管理基础设施能力对企业市场绩效的影响:基于PLS-SEM的估计

企业知识管理的目的就是通过学习,将知识或技术加以扩散,以此提高组织整体的市场绩效.但企业知识管理具有相当复杂性,使得其在管理实践中带来相应的困难.在对企业知识管理基础设施能力、动态能力系统介绍的基础上,分析了两者对企业市场绩效的影响.通过建立基于偏最小二乘方法的结构方程模型,以201份来自企业的有效调查问卷,实证结果验证了所提出的理论模型.研究发现,知识管理基础设施能力与动态能力均对市场绩效有显著影响.     

税收优惠、研发投入与企业绩效——基于中介效应的实证研究

基于"税收优惠-行为-经济后果"的研究范式,利用2012-2016年191家高新技术企业上市公司的面板数据,以研发投入为中介变量,研究税收优惠对企业绩效的影响关系,并探索研发投入的中介效应.实证结果显示:税收优惠对企业绩效和研发投入均产生显著正向影响;企业研发投入在税收优惠与企业绩效之间具有部分中介效应.因此,高新技术企业应当有效利用税收优惠政策,增大研发力度以提升绩效水平.     

从客户视角研究微型付款模式对企业绩效的影响

基于客户资产理论,从客户视角研究微型付款模式影响企业绩效的机制进行研究.采用问卷设计和数据收集方式,研究共回收有效问卷2260份.通过对这2260份有效问卷进行信度和效度检验、描述性统计分析、相关分析和多元回归分析,对关于微型付款模式影响企业绩效的假设进行实证,找出客户视角微型付款模式影响企业绩效的机制.     

可持续供应链管理实践对企业绩效的影响:基于中国的实证研究

本文基于我国172家企业的问卷调查数据,运用结构方程模型,对企业可持续供应链管理实践及其对绩效的影响进行实证分析。结果表明,企业实现内部可持续管理能够对企业管理供应商的行为有着显著的影响;同时,企业管理供应商的行为作为企业外部管理实践对企业的绩效有着显著的正向影响;在企业绩效中,环境绩效和社会绩效对经济绩效有着显著的正向影响,企业的外部管理实践能够通过环境绩效和社会绩效的提高实现最终经济绩效的明显增加。     

企业家社会资本、企业动态能力和企业绩效的关系研究

在剖析企业家社会资本和企业动态能力内涵的基础上,通过理论分析构建企业家社会资本、企业动态能力和企业绩效关系的理论模型,并利用自编量表通过多途径收集了251个有效样本的数据对理论模型进行了检验.统计分析结果表明:理论模型在总体上得到了较好验证,但是变量间的作用路径具有差异性,即:动态能力在企业家社会资本和市场绩效中起部分中介作用;动态能力在企业家社会资本和新产品开发绩效中起部分中介作用.该研究从企业家社会资本视角探索企业动态能力的形成路径及其对企业绩效的影响,具有理论创新意义.     

基于系统动力学的产业集群对企业绩效的影响机制分析

以系统动力学为基础,研究了产业集群对企业绩效的影响机制。分别建立了外部资源环境、发展规模及科研创新能力对企业绩效的影响系统因果图,在此基础上开展了产业集群对企业绩效影响的全过程动力分析。以上海市医药制造产业集群为例开展了实证研究,使用Vensim模拟软件进行了模拟仿真,详尽探讨了影响机制中正负反馈回路。结果表明,产业集群的外部资源环境、产业集群的发展规模和产业集群的科研创新能力对集群内企业的发展有着正向影响,政府和集群内企业可以通过加大对集群科研实力的投资力度、改善产业集群外部环境、扩大产业集群发展规模三个方面来提高产业集群内的企业绩效,促进产业集群内企业的可持续性发展。     

Entropy in good manufacturing system: Tool for quality assurance

It has been customary to implement Good Manufacturing Practices (GMP) in pharmaceutical organizations as a systematic and comprehensive quality approach and sometimes by regulatory enforcement. In this scenario, determination of the obvious entropy/disorder arising during the implementation has not been taken care of yet. Therefore, this paper gives the basis for applying query and visual perception of GMP system driven visualization approach, particularly the Laplace equation, to the determination of disorder and deviation pattern inside the GMP system applied in the organization. In this study, a three-dimensional mesh approached with raw and intermediate input handled under GMP parameter is considered to produce high quality products with minimum entropy (variation distribution) by adding the analogy wise different GMP parameters and process variables with Gauss Seidel iteration and thus producing visual picture of the entire system. The approximation involved in applying the equations to the GMP compliant aseptic region was analyzed. Using numerical technique and computer program, the Gauss Seidel iteration equations have been solved with appropriate GMP parameter and process variable. The result indicates that deviations vary over the GMP compliant system and that the process entropy affects the totality of disorderness. Experiments with model of GMP compliant reproductive medicine laboratory confirm that the new method provides optimal manufacturing maintaining GMP and high product quality through the visual representation of the entire system and activity to bring into notice the deviations.     

基于医保规制和消费者效用的双渠道医药供应链竞争策略

医药消费者在面对双渠道零售时,会明显受到实体渠道医保报销政策的影响。基于这一现象,本文构建了同时考虑医保规制政策和消费者效用的双渠道医药供应链博弈模型,研究了医保报销比例和电商佣金比例对双渠道定价、供应链绩效以及社会福利的影响规律。研究结果表明:医药双渠道定价会同时随着平台收费标准和医保报销比例的增加而降低;医保报销比例的增加会提高社会福利、降低供应链绩效,同时会弱化网络渠道低价优势,能够有效抑制渠道蚕食现象;电商平台佣金比例的增加虽然在一定程度上提高了社会福利,但是会严重瓜分渠道利润,加剧渠道竞争,导致供应链绩效降低。     

上市公司高管薪酬和企业业绩关系研究

本运用我国生物医药上市公司的经验数据考察高管薪酬与企业业绩的关系问题。研究的结果表明高管薪酬水平与企业业绩显正相关，高管团队内的薪酬差距也与企业业绩显正相关，而高管持股则与企业业绩负相关，在统计上不显。因此章建议企业应该考虑股权激励的成本和效果，改善股权激励制度。研究还表明企业追求的目标是规模最大化而不是股东净资产收益率最大化。     

Who You Know vs. What You Know: The Impact of Social Position and Knowledge on Team Performance

Organizational behavior theories generally agree that human capital is critical to teams and organizations, but little guidance exists on the extent to which such theories accurately explain the relative contributions of individual actors to overall performance. Using newly created network measures and simulations based on data obtained from a software development firm, we investigate the relative effectiveness of social network theory and resource dependency theory as predictors of individuals' contributions to team performance. Our results indicate that individual impacts on team performance are more closely associated with knowledge and task dimensions than with social network structure. Furthermore, given that knowledge may be assessed a priori, these factors provide useful guidance for structuring teams and predicting team performance.     

Discrete Lagrangian algorithm for finding geodesics on triangular meshes

The present paper introduces an approximation method for finding open geodesics on triangular surfaces. The algorithm is specifically designed to be able to solve real world problems where geodesic paths are needed. We use the model of geodesic curvature flow for open curves in the Lagrangian formulation. The model is enriched with a tangential term in order to have a control over the quality of the discretization grid during the computation. The governing equation of the flow is solved by a numerical method based on a semi-implicit time discretization and a finite difference space discretization. The paper presents the numerical scheme and various implementation details as well as numerous experiments to demonstrate the performance of the method and to provide comparison with several other well known methods. We also present a Grasshopper component for Rhinoceros for finding optimal paths on surface meshes that we developed and that includes our algorithm.     

Continuous learning methods in two-buyer pricing problem

This paper presents continuous learning methods in a monopoly pricing problem where the firm has uncertainty about the buyers’ preferences. The firm designs a menu of quality-price bundles and adjusts them using only local information about the buyers’ preferences. The learning methods define different paths, and we compare how much profit the firm makes on these paths, how long it takes to learn the optimal tariff, and how the buyers’ utilities change during the learning period. We also present a way to compute the optimal path in terms of discounted profit with dynamic programming and complete information. Numerical examples show that the optimal path may involve jumps where the buyer types switch from one bundle to another, and this is a property which is difficult to include in the learning methods. The learning methods have, however, the benefit that they can be generalized to pricing problems with many buyers types and qualities.     

Seven (Lattice) Paths to Log-Convexity

Three new methods for proving log-convexity of combinatorial sequences are presented. Their implementation is demonstrated and their performance is compared with four more familiar approaches in the context of sequences that enumerate various classes of lattice paths.