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dc.contributor.authorOmoregie, Alohan
dc.contributor.authorEbohon, Obas John
dc.contributor.authorRadford, Dennis
dc.date.accessioned2017-02-27T11:40:31Z
dc.date.available2017-02-27T11:40:31Z
dc.date.issued2005-11-17
dc.identifier.citationOmoregie, A., Ebohon, O. J. & Radford, D., (2005) 'Modelling in ranking procedures, a case study of infrastructure failures in Nigeria', Proceedings of 2nd Scottish Conference for Postgraduate Researchers of the Built and Natural Environment (PROBE). Glasgow Caledonian University. 16-17 November.en
dc.identifier.urihttp://hdl.handle.net/10545/621461
dc.description.abstractThe lack of a scientific approach as to which factors are considered or chosen in a decision-making process can seriously influence the effectiveness of that process. Using the example of infrastructure failures in Nigeria, this paper presents a severity index in matrix order (SIMO) model that unambiguously ranks factors and also defines a threshold that demarcates between major variable factors that should not be compromised in policy and less important ones. Infrastructures failures in Nigeria have hindered economic processes which were meant to alleviate poverty. Constraints responsible for this situation are identified from a carefully conducted survey in Nigeria. Severity of these constraints is empirically ranked using a developed severity index in matrix order (SIMO) model. However, the investigation reveals that corruption, misallocation of investments, inadequate maintenance, lack of transparency and accountability, insufficient funding for infrastructure, lack of supportive institutions, inconsistent political, social and economic policies and the lack of suitable technical and managerial skill are the major variable factors responsible for infrastructure failures in Nigeria.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherInternational Council for Research and Innovation in Building and Constructionen
dc.relation.urlhttps://www.irb.fraunhofer.de/CIBlibrary/search-quick-result-list.jsp?A&idSuche=CIB+DC10592en
dc.relation.urlhttp://www.cibworld.nl/site/databases/publications.htmlen
dc.subjectInfrastructureen
dc.subjectModellingen
dc.subjectRanking proceduresen
dc.subjectSeverity indexen
dc.subjectConstructionen
dc.titleModelling in ranking procedures: A case study of infrastructure failures in Nigeriaen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentDe Montfort Universityen
dc.identifier.journalProceedings of 2nd Scottish Conference for Postgraduate Researchers of the Built and Natural Environment (PROBE)en
refterms.dateFOA2018-02-27T00:00:00Z
html.description.abstractThe lack of a scientific approach as to which factors are considered or chosen in a decision-making process can seriously influence the effectiveness of that process. Using the example of infrastructure failures in Nigeria, this paper presents a severity index in matrix order (SIMO) model that unambiguously ranks factors and also defines a threshold that demarcates between major variable factors that should not be compromised in policy and less important ones. Infrastructures failures in Nigeria have hindered economic processes which were meant to alleviate poverty. Constraints responsible for this situation are identified from a carefully conducted survey in Nigeria. Severity of these constraints is empirically ranked using a developed severity index in matrix order (SIMO) model. However, the investigation reveals that corruption, misallocation of investments, inadequate maintenance, lack of transparency and accountability, insufficient funding for infrastructure, lack of supportive institutions, inconsistent political, social and economic policies and the lack of suitable technical and managerial skill are the major variable factors responsible for infrastructure failures in Nigeria.


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