FROM COMPLEXITY ANALYSIS TO PROJECT RISK MANAGEMENT

被引:0
作者
Canas Mejia, Gustavo [1 ]
机构
[1] Univ Pontificia Bolivariana, Project Management Profess, Envigado, Colombia
来源
REVISTA CIENCIAS ESTRATEGICAS | 2015年 / 23卷 / 34期
关键词
Complexity; risks; uncertainty; project management;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Being able to clearly identify the complexity of a project would impact its management in such a way so as to generate important change in how it should be directed. The development of a project could vary from stability and predictability to instability and failure. The constant search for competitiveness, efficiency, and speed drives organizations to predict the amount of effort invested in the management of certain types of projects as well to establish methods to evaluate factors and decisions using consistent and objective bases. Though there are numerous ways of determining the complexity of a project due to what can be called "the principle of complexity analysis uncertainty", the very way analysis is defined could lead to imprecise evaluations that do not adequately support decisions. In order to conduct analysis, one of the first steps involves understanding the causes of complexity in the projects, for which they can be grouped in various categories. The Project Management Institute proposes a structure that is aligned with program and project management, which establishes an important starting point. There are various areas of project management that begin with complexity analysis; one of the most important areas is risk management.
引用
收藏
页码:249 / 264
页数:16
相关论文
共 22 条
  • [1] Arthur B. W., 1990, SCI AM, P262
  • [2] Canas F., 2014, EL COLOMBIANO
  • [3] DeMarco T., 2003, WALTZING BEARS RISKS
  • [4] HAYEK FA, 1967, THEORY COMPLEX PHENO
  • [5] Hoogduin L., 2014, COMPLEXITY UNCERTAIN
  • [6] IBM, 2012, CONN GEN EX REP
  • [7] IBM, 2010, CAP COMPL EX REP
  • [8] Kane L., 2013, WHEN THEY WERE BOYS
  • [9] Keynes J.M., 1950, THEORY RATE INTEREST
  • [10] Knight F., 1921, RISK UNCERTAINTY PRO