A method for the ontology-based risk management of PPP construction projects

本体论 计算机科学 风险管理 知识管理 风险分析(工程) 隐性知识 知识共享 项目风险管理 过程(计算) 领域知识 重新使用 项目管理 业务 工程类 项目组合管理 系统工程 哲学 操作系统 认识论 废物管理 财务
作者
Xiaoyan Jiang,Sai Wang,Yong Liu,Bo Xia,Martin Skitmore,Madhav Prasad Nepal,Amir Naser Ghanbaripour
出处
期刊:Construction Innovation: Information, Process, Management [Emerald Publishing Limited]
卷期号:23 (5): 1095-1129 被引量:9
标识
DOI:10.1108/ci-02-2022-0029
摘要

Purpose With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge. Design/methodology/approach Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks. Findings The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management. Research limitations/implications The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented. Practical implications The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process. Originality/value The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.
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