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- W4297491489 abstract "Globally and locally, projects continue to miss their cost and schedule targets. It is largely because risks that occur in the construction industry are not addressed at the contract development stage. These risks may be divided into three basic categories, which are organizational risk, contractual risks, and allied risks. Although reviews of the literature show a large number of risks as already having been identified across the globe, organizations do not benefit from this worldwide experience and continue to derail their projects on multiple occasions. Two key reasons observed are the lack of a knowledge management process and key stakeholders working in isolation with no single point of ownership in the tendering process and contract development within many organizations. The solution lies in developing an AI-based framework that effectively addresses this lack of knowledge management and stakeholder integration within companies. The AI aspect brings speed and magnitude in reviewing contract development by pre-identifying risk factors and suggesting possible risk mitigation strategies." @default.
- W4297491489 created "2022-09-29" @default.
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- W4297491489 date "2022-09-27" @default.
- W4297491489 modified "2023-10-14" @default.
- W4297491489 title "Conceptual Approach for the Use of Artificial Intelligence for Contractual Risk Assessment in Infrastructure Projects" @default.
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- W4297491489 doi "https://doi.org/10.3390/engproc2022022012" @default.
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