基于关键节点与关键路径的专利集群网络演进研究

专利作为技术和知识的重要载体，是研究技术演进和产业发展的重要信息源。目前缺乏针对专利集群网络中关键节点与关键路径中节点的比较分析和技术知识挖掘。构建基于关键节点和关键路径的专利集群网络演进模型，从两个层面综合分析技术演进特征。检索德温特数据库(Derwent Innovation Index)得到碳化硅肖特基势垒二极管（SiC-SBD）相关专利作为实证数据，时间跨度为1986-2017年。结果表明，SiC-SBD专利集群网络经历了萌芽期、成长期、成熟期和衰退期，其中，萌芽期专利主要涉及基础技术，成长期为器件结构，以完善器件结构、改进二极管性能为主要研究方向。近年来SiC-SBD专利年增长率下降，技术发展速度放缓，专利价值更多体现在其商业价值上。SiC-SBD专利集群网络关键节点与关键路径中节点重合度较高，核心专利识别可通过多视角分析得到。通过关键节点与关键路径分析专利集群网络演进过程，有助于更全面呈现技术演进过程，为决策者识别核心专利、预测技术发展提供参考。     

Hotel performance: Rigor and relevant research topics

Academic research (rigor) in alignment with practitioners’ challenges (relevancy) has been advocated as a way of overcoming the ivory tower syndrome. Performance measurement is at the heart of strategic management processes, as it provides a mechanism of demonstrating outcomes. Given the importance of this topic for both theory and practice, this article explores the contribution of academic outputs in terms of academic research outputs (rigor) and current practitioners’ needs (relevancy).Using network analysis and cross-citation bibliometric approaches, a sample of 1155 articles is examined and fourteen clusters are identified. The emergent topics and subtopics from the academic literature are compared to ten insights proposed by Ernst Young to the hotel sector. The findings suggest a good fit between the two approaches together with some gaps. Based from empirical results, nine propositions are articulated.     

产业集群内生性集体行动影响因素案例研究与效度检验

基于利益集团等多重主流理论视角和半开放性编码技术的部分探索性案例研究，发现产业集群内生性集体行动受到内生需求、长期导向、本地嵌入、政策激励、同行反应、协会治理、集群规模和集群类型等因素的综合影响。经因子分析和逐步回归等方法检验，上述影响因素组合具有较为理想的建构效度和效标效度。其中，内生需求、长期导向、本地嵌入、政策激励、同行反应和协会治理等属于正面激发因素，对集群企业参与内生性集体行动具有积极促进作用，而集群规模和集群类型等则属于负面阻碍因素，对集群企业参与内生性集体行动具有消极抑制作用。     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

Logistics optimization through a social approach for food distribution

The management of supply chains is becoming more important in economic and social environments. Currently, the social sustainability is a factor that must be considered to design governmental strategies and policies. The objective of this research paper was to show, with a case study an approach to optimize distribution and delivery logistics of food in a social assistance program of school breakfast using mathematical models that include transportation distance, optimal locations, and vehicle routing through different clusters. By using qualitative variables like poverty levels, food insecurity and social exclusion, different clustering methods are proposed with the purpose of identifying the common characteristics in the studied population; and at the same time, reducing the distribution complexity. The results show an efficient approach to design a supply chain that includes economic and social factors. The new model developed in this paper can be used to plan social assistance governmental programs, to identify the specific needs and characteristics of the beneficiaries, minimizing the total cost of the distribution network logistics when delivering food for school meals.     

集群知识传播绩效的实现机制研究--基于政府干预与企业知识活动的视角

在产业集群知识系统中政府干预措施和企业知识活动影响企业知识获取能力,进而影响集群知识传播绩效的实现。文章在相关文献综述和实地调研直观感觉的前提下,提出了研究的基本理论假设,构建了基于政府干预和企业知识活动视角的集群知识传播绩效作用的机理模型;根据文章研究的基本假设设计了概念模型中各变量的初步测量指标,在面向纺织服装产业集群测试与修正的基础上,形成研究的最终调查量表;借助于结构方程模型对问卷调查数据的实证分析发现,政府干预对企业知识获取和知识溢出均产生正向显著影响,且基本平衡;企业知识活动基础对企业知识获取的正向影响大于对知识溢出的影响,企业知识获取能力对企业知识溢出能力影响不显著。     

网络嵌入、集聚模仿与大学衍生企业知识溢出——基于中国三大海洋工程装备制造业集群的实证研究

引入新网络特征——空间集聚结构发现,我国企业集群知识溢出存在空间模仿效应。为此,利用空间计量模型修正社会网络分析结果,考察大学衍生企业网络嵌入演进对企业集群知识溢出的真实影响。结果表明,产业关联、信任、关系联结规模和中介中心度有助于提高企业集群知识溢出水平,知识认同度和互惠程度对知识溢出的影响存在最优均衡;网络嵌入对知识溢出的影响存在明显的空间模仿效应,在连续性知识空间更多表现为邻近效应,在间断性知识空间则表现为异质效应,集群内空间模仿效应强于集群间;在控制空间效应后,仅在波纹状集聚结构的环渤海集群存在结构洞与知识溢出的负向关联。基于上述结果,结合我国国情提出海洋装备集群未来发展政策及启示。     

A tale of two clusters: knowledge and emergence

Cluster emergence is an important topic but weakly conceptualized in the literature. Focusing on the interaction of the local knowledge pool and firm growth, the paper develops a comprehensive framework to understand cluster emergence. In the framework, the cluster formation process starts with the collision of local and external knowledge which generates an innovation and stimulates the creation of local pioneering firms in a new field. To support the growth of follow-up entrants in the new industry, the local knowledge pool needs to be expanded and deepened through local knowledge sharing and external knowledge inflows. The enlarged local knowledge pool enables local firms to grow and explore other fields further. To promote cluster emergence, public policies need to facilitate the interaction of the local knowledge pool and firm growth. The paper illustrates the interactive framework with two aluminum extrusion clusters in China that emerged in different ways over different time periods.     

面向云的视频会议系统设计与实现

随着人们生活水平的提高,人们对视频会议的要求也越来越高,无论是清晰度还是实时性都有较多要求。与视频会议相关的技术有很多,例如云计算,NGImeetings Cluster框架结构等,云计算在视频系统当中具有很大的作用,可以对系统进行测试,NGImeetings Cluster系统结合云计算的优势可以使NGImeetings Cluster服务框架更加灵活,大大提高系统的服务性能。