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项目组合网络实证研究 被引量:2

Network Empirical Study of the Project Portfolio
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摘要 将复杂网络理论引入到项目组合管理中,以项目为节点,以项目之间的依赖关系为边,项目的成本看作点权,项目之间的依赖强度看作边权,将项目组合抽象为一个复杂加权网络。研究了4家企业的项目组合网络,在分析项目组合特性的基础上,概括了项目组合的复杂网络行为特征。对企业项目组合网络进行综合对比分析发现,项目组合网络具有如下相似特征:1节点度分布不同于其他社会网络,倾向于幂律分布,又有偏斜泊松分布的迹象;2度相关系数负相关,有别于其他社会网络;3具有集群结构;4聚集系数很大;5网络直径较小;6平均度数小于4。 The paper introduced complex network theories into project portfolio management, take projects as nodes, the relationships among the projects as edges, and the cost as node weight, the tightness of the projects as edge weight, The poject portfolio is then generalized as a weighted complex network. The papers studied project portfolio network of four enterprises, and sumerized the behavior characteristics on the basis of analysing the pro-ject portfolio. Through comparative analysis, the paper discovered these similarity characteristics: ①Degree dis- tribution of the node differs from that of other society networks, it tends to be power - law, while also seems to follow skewed poisson distribution; ②Relative coefficient of the degree is negetive, which also differs from other society networks; Project portfolio enjoys cluster structure;③Accumulation coefficient is large; ④Network diam- eter is small; ⑤the average degree is less than four.
出处 《运筹与管理》 CSSCI CSCD 北大核心 2015年第5期156-166,共11页 Operations Research and Management Science
基金 上海市一流学科建设项目的资助(S1201YLXK) 上海出版印刷高等专科学校博士启动基金项目资助(2014BSKY08)
关键词 项目管理 复杂网络 项目组合 项目群. project management complex network project portfolio project cluster.
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参考文献11

  • 1Lycett M,Rassau A,Danson J.Programme management:acritical review[J].International Journal of Project Management,2004,22(4):289-299.
  • 2Venkatesh V,Morris M G,Davis F D.User acceptance of information technology:toward a unified view[J].MIS Quarterly,2003,27(3):425-478.
  • 3Delone W D,Mclean E R.The de-lone and McLean model of information systems success:a ten-year update[J].Journal of Management Information Systems,2003,19(4):9-30.
  • 4李慧.基于复杂网络的复杂项目管理研究框架[J].科技进步与对策,2008,25(11):5-8. 被引量:4
  • 5刘柏林,刘胜,包北方.基于复杂网络理论的多项目实施资源优化配置研究[J].机械,2012,39(8):37-42. 被引量:1
  • 6Xiao W K,Ren J,Feng Q.Empirical study on clique-degree distribution of networks[J].Phys.Rev.E.,2007,76(3):037102.
  • 7Du N,Wu B,Pei X.Community detection in large-scale social network[C].Web KDD/SNA-KDD'07 Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis,ACM New York,USA,2007:16-25.
  • 8Newman M E J.Fast algorithm for detecting community structure in networks[J].Physical Review E,2004,69(6):066133.
  • 9Clauset A,Newman M E J,Moore C.Finding community structure in very large net works[J].Physical Review E,2004,70:0661.
  • 10Newman M E J.The structure and function of complex networks[J].SIAM Review,2003,45(2):167-256.

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