摘要
根据不同的作者,复杂性的主要驱动力可以在人类行为和不确定性中找到。这种复杂性、结构性或动态性可以是组织性、技术性或嵌套在它们之间的关系中。风险管理的定义"协调活动以指导和控制组织的风险"。要使风险管理尽可能有效和适应现实,就必须在复杂的系统中进行操作,这一点已经在不同的研发环境中得到了证明。风险管理在处理具体的和内生的需求时面临着严峻的挑战。本文介绍了一种基于复杂系统建模的多变量函数分析方法,通过与采矿部门风险管理工具相对应的真实数据。
According to different authors, the main drivers of complexity can be found in human behavior and uncertainty. This complexity,structure, or dynamics can be organizational, technical, or nested within the relationship between them. Therefore, to make risk management as effective and realistic as possible, it must be operated in a complex system, which has been proven in different R&D environments. Risk management faces serious challenges in dealing with specific and endogenous need. This paper presents a multivariate function analysis method based on complex system modeling, through real data corresponding to mining sector risk management tools.
引文
[1] Snowden DJ, Boone ME. A leader’s framework for decision making.Harvard Bus Rev 2007;85(11):68.
[2] Mariotti H. Complex thought its applications to leadership, to learning, and to sustainable development. Brasil:S?o Paulo;2007.
[3] Geraldi J, Maylor H, Williams T. Now, let’s make it really complex(complicated):a systematic review of the complexities of projects. Int J Oper Prod Manage 2011;31(9):966–90.