The Evolution of Knowledge and the Dynamics of an Industry Network

The paper moves a step forward in the direction of establishing a connection between the structure and evolution of knowledge bases and the structure and evolution of organizational forms in innovative activities in a science-intensive industry. The paper has an explicit focus on the dynamics of the network of collaborative agreements in R&D in the pharma/biotech industry after the “molecular biology revolution”. Using a comprehensive dataset, built by the authors integrating several sources in the industry, the dynamics of the network over time is extensively analyzed. With regards to network structure, it is found that, while the size of the network increases over time due to net flows of entry, its topological properties remain relatively unchanged. The evolution of the network has occurred without relevant deformations in the core-periphery profile. With regards to age-dependent propensity to collaborate, the paper finds that the extent of inter-generational collaboration is much more significant than intra-generational collaboration. In addition, the propensity of firms of a given generation to enter into collaboration with firms of a different generation increases with the distance between the two, while the total number of intra-generational collaborations decreases over time and, moreover, tends to decrease for most recent generations. In the paper a unitary and coherent explanation of the evidence is developed, coming to reveal the existence of a striking isomorphism between structural properties of the dynamics of knowledge and of the evolution of network structure. This revised version was published online in July 2006 with corrections to the Cover Date.     

The precision of regression-type estimator for incremental cost–effectiveness ratio

The estimation of incremental cost–effectiveness ratio (ICER) has received increasing attention recently. It is expressed in terms of the ratio of the change in costs of a therapeutic intervention to the change in the effects of the intervention. Despite the intuitive interpretation of ICER as an additional cost per additional benefit unit, it is a challenge to estimate the distribution of a ratio of two stochastically dependent distributions. A vast literature regarding the statistical methods of ICER has developed in the past two decades, but none of these methods provide an unbiased estimator. Here, to obtain the unbiased estimator of the cost–effectiveness ratio (CER), the zero intercept of the bivariate normal regression is assumed. In equal sample sizes, the Iman–Conover algorithm is applied to construct the desired variance–covariance matrix of two random bivariate samples, and the estimation then follows the same approach as CER to obtain the unbiased estimator of ICER. The bootstrapping method with the Iman–Conover algorithm is employed for unequal sample sizes. Simulation experiments are conducted to evaluate the proposed method. The regression-type estimator performs overwhelmingly better than the sample mean estimator in terms of mean squared error in all cases.     

Use of multiple cluster analysis methods to explore the validity of a community outcomes concept map

Concept mapping is now a commonly-used technique for articulating and evaluating programmatic outcomes. However, research regarding validity of knowledge and outcomes produced with concept mapping is sparse. The current study describes quantitative validity analyses using a concept mapping dataset. We sought to increase the validity of concept mapping evaluation results by running multiple cluster analysis methods and then using several metrics to choose from among solutions. We present four different clustering methods based on analyses using the R statistical software package: partitioning around medoids (PAM), fuzzy analysis (FANNY), agglomerative nesting (AGNES) and divisive analysis (DIANA). We then used the Dunn and Davies-Bouldin indices to assist in choosing a valid cluster solution for a concept mapping outcomes evaluation. We conclude that the validity of the outcomes map is high, based on the analyses described. Finally, we discuss areas for further concept mapping methods research.     

研发过程中知识产权风险的控制

企业知识产权包括商标、专利和著作权等，它是企业重要的无形资产。目前，国内大多数企业还不够重视企业的知识产权保护，尤其是专利保护。在研发过程中的专利申请及保护不及时、不到位，导致企业从项目研发到市场占有的整个过程蒙受巨大风险。从知识产权保护角度，探讨了企业研发过程中有关风险的防范措施。     

公司治理对会计信息披露质量影响 ——基于我国生物医药业上市公司的实证研究

会计信息披露是企业向信息使用者揭示和反映企业价值运动,高质量的信息披露可以降低信息不对称程度,使投资者能更正确地做出判断.以生物医药业上市公司为例,采用Logistic回归分析方法,系统研究公司治理与会计信息的披露质量之间的关系,发现公司治理中的董事会规模、独立董事比例和监事会规模的提高会使得会计信息披露质量得到提高,董事会会议次数与会计信息披露质量显著负相关.     

中国由ICT渠道获取的国际R&D溢出门槛效应

采用2003-2012年中国除西藏外30个省市自治区的面板数据,考察信息通信技术渠道国际R & D溢出效应。运用面板单位根检验、协整检验、相关性分析、格兰杰因果检验、随机效应模型等计量方法,研究中国通过信息通信技术渠道获得的国际R & D溢出与当地全要素生产率之间的关系;建立Hansen非动态面板门槛模型,采用稳健标准差回归,检验各省份由信息通信技术渠道获得的国际R & D溢出门槛效应,并从产业转型升级和信息化建设角度分析存在门槛效应的原因。结果表明,中国大部分省份通过信息通信技术渠道获取的国际R & D溢出与全要素生产率有正相关关系;通过信息通信技术渠道获得的国际R & D溢出对当地技术进步的影响存在明显的地区差异和门槛效应。     

集成化供应链药事服务项目在药品流通管理中的应用

面对新医改的要求以及医院间日益激烈的竞争,如何在提高医院的整体服务质量的同时不断降低医院的运营成本,更好地为患者服务已经成为医院管理的重要内容.其中降低药品流通成本又是最核心的因素,也是社会普遍关注的热点话题.为此,采用信息化手段,通过对医院药品流通的数个环节的整合重构,采用一体化的管理模式开发集成化供应链药事服务项目.通过该项目的实施减少了药品流通环节及药品流通成本,提高了药品周转率,降低了药品库存量及药品占用款,实现了医院药品流通的精细化管理.为医院药品流通的科学管理奠定了实践基础,同时转变了管理理念,提升了医院的核心竞争力.     

基于“3R＆I”原则的循环经济模式研究

我国当前经济高速增长的要求与有限资源和环境支持能力之间存在严重矛盾。实施循环经济是贯彻落实我国节能减排政策的有效途径,如何发展循环经济是我们面临的重大课题。目前循环经济的实施主要是依据“3R”原则,而这些原则有明显的不足之处。针对“3R”原则的局限性,提出基于创新的循环经济“3R＆I”原则。创新是实现“减量化”、“再利用”、“资源化”的前提,也是实现经济持续循环的保证。循环经济本质上是一种创新经济。     

基于DEA模型的中国航运上市公司经营绩效评价

航运业作为国民经济重要的基础性和服务性行业,是实现国际贸易的重要保障,在促进国民经济发展中具有不可替代的作用。运用DEA模型中的C2R模型对中国2007—2010年在上海和深圳交易所上市的12家航运公司进行技术有效性和规模收益分析,评价这些公司的经营绩效,从而为航运上市公司提高经营管理效率提供决策依据,也为投资者理性投资提供参考依据。