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Modelling for the build-up of intellectual capital in public private partnerships based knowledge management

机译:基于公私合营的知识管理中的智力资本积累建模

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摘要

The present paper aims to contribute toward the intellectual capital build-up in the field of public-private partnerships (PPP). Therefore, a modelling for the decision of the building up and the management of public-private partnerships (PPPs) projects on transportation infrastructure has been developed based on the modelling of the knowledge management (KM) theory. The aforementioned system considers a sequence of proceedings directed to the prioritisation ranking of knowledge objects, so as to assist managers in choosing priorities regarding information and theoretical knowledge. This stage consists of the following steps: 1 the assembly of critical success factors CSF 2 the determination of information areas 3 the prioritisation of the needs of information. Furthermore, the designation of knowledge objects ensued as follows: 1 the selection of the concept of knowledge 2 the identification and acquisition of knowledge 3 the prioritisation of knowledge objects 4 the mental representation of the objects of knowledge. The results obtained have been satisfying, validating the proceeding proposed for assembling and prioritising critical knowledge for projects on PPPs, as well as for the constitution of other elements of the intellectual capital for the concession policies and partnerships, utmost on the road investment field.
机译:本文旨在为公私合作伙伴关系(PPP)领域的智力资本建设做出贡献。因此,在知识管理(KM)理论模型的基础上,开发了用于交通基础设施建设和管理的公私伙伴关系(PPP)项目决策的模型。前述系统考虑了针对知识对象的优先级排序的一系列过程,以帮助管理者选择关于信息和理论知识的优先级。该阶段包括以下步骤:1关键成功因素CSF的组装2信息区域的确定3信息需求的优先级。此外,随后对知识对象的指定如下:1知识概念的选择2知识的识别和获取3知识对象的优先级排序4知识对象的心理表示。取得的结果令人满意,证实了为PPP项目以及对特许权政策和合作伙伴关系的智力资本的其他要素的构成,尤其是在公路投资领域的关键知识的收集和优先排序的提议程序。

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