基于知识的风险管理模型在水电站工程中的应用

IF 1.9 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Ednilson Cavaco, Jorge Muniz Junior
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引用次数: 1

摘要

目标:本文将知识风险管理模型应用于巴西一家项目型组织(Alpha Company),该组织负责水电站的项目和生产。设计/方法/方法:Alpha公司的研究得到了探索性实地调查的支持,该调查基于Alpha公司专家对风险和知识的访谈进行的定性数据分析,将理论和实证观点联系起来。Alpha公司是巴西一家水电站设备制造商。接受采访的专家在评估24个项目的复杂项目中具有广泛的经验。结果:基于知识的风险管理模型的应用,可以支持面向项目的组织减轻与项目管理相关的问题。调查的局限性:本文仅限于参与水力发电厂项目的专家的判断,并指出未来的研究在其他部门和产品上的新应用。实际含义:Alpha公司的研究提供了一个实用的指导方针,以支持可能的战略变更,通过先前的项目任务计划发布,并支持经理计划如何减轻与项目问题相关的风险。原创性/价值:本文提出了一个基于技术知识问题的评估指南,以减轻实现项目的风险。本文回答了知识和风险管理文献中提出的研究机会,例如:a)评估不同生产环境下的项目风险分析;B)应用基于知识的技术来支持风险评估;c)模型风险识别;d)将Massingham的KMR模型更新到基于项目的组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-based risk management model: application in hydropower station projects
Goal: This paper adapted the Knowledge Risk Management model to a Brazilian project-based organization (Alpha Company), which projects and produces hydropower stations. Design / Methodology / Approach: The Alpha Company study is supported by an exploratory fieldwork, which link theoretical and empirical perspectives based on qualitative data analysis from Alpha company expert interviews about risk and knowledge. Alpha Company is a Brazilian manufacturer of equipment for hydropower stations. The experts interviewed represent a broad spectrum of experience in complex projects that assess 24 projects. Results: The application of Knowledge-based Risk Management model and may support projectoriented organizations to mitigate issues related to project management. Limitations of the investigation: The paper is limited to the judgment of specialists involved in the project of hydroelectric plants and indicates as future studies new applications to other sectors and products. Practical implications: Alpha Company study provides a practical guidelines to support possible strategic change to issue previously planned through the project tasks, and support managers to plan how to mitigate risks related to project issues. Originality / Value: This paper proposes an assessment guidelines based on technical knowledge issues to mitigate risks to achieve project. The paper answers to research opportunities raised on Knowledge and risk management literature, such as a) evaluate project risk analysis in different production contexts; b) apply knowledge-based techniques to support risk evaluation; c) model risk identification, d) update the Massingham’ KMR model to project-based organizations.
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来源期刊
Brazilian Journal of Operations & Production Management
Brazilian Journal of Operations & Production Management OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
2.90
自引率
9.10%
发文量
27
审稿时长
44 weeks
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