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1.
Orsenigo Luigi Pammolli Fabio Riccaboni Massimo Bonaccorsi Andrea Turchetti Giuseppe 《Journal of Management and Governance》1997,1(2):147-175
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. 相似文献
2.
《Journal of Statistical Computation and Simulation》2012,82(8):1105-1114
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. 相似文献
3.
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. 相似文献
4.
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。 相似文献
5.
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. 相似文献
6.
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。 相似文献
7.
8.
Planning and evaluating projects often involves input from many stakeholders. Fusing and organizing many different ideas, opinions, and interpretations into a coherent and acceptable plan or project evaluation is challenging. This is especially true when seeking contributions from a large number of participants, especially when not all can participate in group discussions, or when some prefer to contribute their perspectives anonymously. One of the major breakthroughs in the area of evaluation and program planning has been the use of graphical tools to represent the brainstorming process. This provides a quantitative framework for organizing ideas and general concepts into simple-to-interpret graphs. We developed a new, open-source concept mapping software called R-CMap, which is implemented in R. This software provides a graphical user interface to guide users through the analytical process of concept mapping. The R-CMap software allows users to generate a variety of plots, including cluster maps, point rating and cluster rating maps, as well as pattern matching and go-zone plots. Additionally, R-CMap is capable of generating detailed reports that contain useful statistical summaries of the data. The plots and reports can be embedded in Microsoft Office tools such as Word and PowerPoint, where users may manually adjust various plot and table features to achieve the best visual results in their presentations and official reports. The graphical user interface of R-CMap allows users to define cluster names, change the number of clusters, select rating variables for relevant plots, and importantly, select subsets of respondents by demographic criteria. The latter is particularly useful to project managers in order to identify different patterns of preferences by subpopulations. R-CMap is user-friendly, and does not require any programming experience. However, proficient R users can add to its functionality by directly accessing built-in functions in R and sharing new features with the concept mapping community. 相似文献
9.
Philipp Otto 《统计学通讯:模拟与计算》2017,46(6):4547-4558
In applications of spatial statistics, it is necessary to compute the product of some matrix W of spatial weights and a vector y of observations. The weighting matrix often needs to be adapted to the specific problems, such that the computation of Wy cannot necessarily be done with available R-packages. Hence, this article suggests one possibility treating such issues. The proposed technique avoids the computation of the matrix product by calculating each entry of Wy separately. Initially, a specific spatial autoregressive process is introduced. The performance of the proposed program is briefly compared to a basic program using the matrix multiplication. 相似文献
10.