艺术项目行为风险管理的数学模型

I. Rybalko
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引用次数: 0

摘要

在前人建立的“调色板”概念模型的基础上,提出了艺术项目行为风险管理的数学模型。作者以前的科学著作中详细描述了艺术项目所确定的风险,这些风险分布在构成“调色板”概念模型基础的四个来源之间。鉴于人为因素对艺术项目影响的极端重要性,从这四个来源确定的风险被归类为行为风险组。作者提出行为风险的定义是在艺术项目实施的背景下,作为艺术项目团队成员的破坏性行为,这种行为可能会阻碍艺术项目产品的接收或整个项目的成功。数学模型在项目管理中的发展和应用的科学工作分析表明了该方法的方便性和实用性。数学模型已成为任何领域的项目经理在制定项目管理计划时计算各种重要指标的有效工具。根据概念模型“调色板”和数学模型,作者开发了一个光谱调色板(尺度),它可以用来获得一个特征,决定每个潜在的团队成员执行某个艺术项目的风险程度,这取决于计算行为风险概率的结果进入的部门。结论是,该数学模型的应用对艺术项目经理在制定抗风险措施计划和选择行为策略时具有实用价值,同时考虑到对艺术项目中每个潜在团队成员的评估。确定每个艺术项目团队成员的风险程度,使经理能够回答有关某个团队成员个人行为动机的许多问题,解释他在执行个人任务时的行为,以及与其他团队成员和艺术项目利益相关者的互动。作者进一步的科学工作是开发艺术项目行为风险管理方法,旨在提高艺术项目团队管理的有效性,使其成功实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MATHEMATICAL MODEL OF BEHAVIORAL RISK MANAGEMENT IN ART PROJECTS
The developed mathematical model of behavioral risk management of art-projects, created on the basis of the conceptual model "Palette" built earlier, is offered. The identified risks of art-projects, a detailed description of which is presented in previous scientific works of the author, were distributed between the four sources that formed the basis of the conceptual model "Palette". Given the extreme importance of the influence of the human factor on the art project, the identified risks from the four sources were classified in the group of behavioral risks. The author proposed the definition of behavioral risks in the context of the implementation of art projects, as destructive behavior of the art project team member, which can prevent the receipt of the art project product or the success of the project as a whole. The analysis of scientific works in the field of development and application of mathematical model in project management showed the expediency and practical effectiveness of this method. The mathematical model has become an effective tool for a project manager of any field in the calculation of various indicators important in the development of project management plans. According to the conceptual model "Palette" and the mathematical model, the author has developed a spectral palette (scale), which can be used to obtain a characteristic that determines how risky each of the potential team members to perform a certain art project, depending on the sector in which the result of the calculation of the probability of behavioral risk is entered. It is concluded that the application of this mathematical model is of practical value for the art-project manager in developing a plan of antirisk measures and choosing a behavioral strategy taking into account the obtained assessment of each potential team member of an art-project. Determining the degree of riskiness of each art-project team member gives the manager answers to many questions about the motives of individual actions of a certain team member, explains his behavior in performing personal tasks, and in interaction with other team members and art-project stakeholders. Further scientific work of the author is to develop methods of behavioral risk management of art-projects, aimed at improving the effectiveness of art-project team management for its successful implementation.
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