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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/10721
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dc.contributor.authorSharma, Satyendra Kumar-
dc.contributor.authorSingh, Ajit Pratap-
dc.date.accessioned2023-05-09T07:14:29Z-
dc.date.available2023-05-09T07:14:29Z-
dc.date.issued2021-08-
dc.identifier.urihttps://www.inderscience.com/info/inarticle.php?artid=117341-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10721-
dc.description.abstractMega construction projects are subject to multiple risks which influence project objectives, such as, cost, quality and time. Risk intensity varies across different stages of the life cycle of the project. While most of the studies in risk management have been on identifying risks in various projects, very few of them have explored risks in air logistics infrastructure development projects. In this study, we have designed risks prioritising model for such projects using analytic network process (ANP) technique with paired risk comparison. The data was collected through extensive literature review and detailed interview/questionnaire inputs from subject matter experts involved in development of mega air logistics development projects. The analysis through ANP technique has revealed comparison of various risks, their interdependencies, their relative ranking based on risk priority indices. This has revealed that the financial and the construction risks play a very important and critical role for the success of infrastructure projects. Finally, the study presents insights into risk implications with their relative importance that will rationalise the management's effort.en_US
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectManagementen_US
dc.subjectAir transport infrastructureen_US
dc.subjectAnalytic network processen_US
dc.subjectRisk priority indexesen_US
dc.subjectRPIsen_US
dc.titleAssessment for risk of logistics infrastructure projects using analytic network processen_US
dc.typeArticleen_US
Appears in Collections:Department of Management

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