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dc.contributor.authorOduoza, Chike F.
dc.contributor.authorOdimabo, Onengiyeofori
dc.contributor.authorTamparapoulos, Alexios
dc.date.accessioned2017-10-27T08:51:45Z
dc.date.available2017-10-27T08:51:45Z
dc.date.issued2017-09-18
dc.identifier.citationOduoza, CF., Odimabo., O., Tamparapoulos, (2017) 'Framework for Risk Management Software System for SMEs in the Engineering Construction Sector', Procedia Manufacturing 11 (1)
dc.identifier.issn2351-9789
dc.identifier.doi10.1016/j.promfg.2017.07.249
dc.identifier.urihttp://hdl.handle.net/2436/620807
dc.description.abstractSmall and medium-sized enterprises (SMEs) in construction sector are vulnerable and face exposure to risks whilst operating without risk management system in place. Evidence from market research and industry surveys confirm that SMEs underperform due to inability to manage operational risk challenges facing them. The objective of this study is to develop risk management software enabling SMEs in the construction sector to proactively identify, analyse and manage risks facing them to enhance business performance. Performance in the construction sector is assessed in terms of completion time, project execution cost and overall quality of delivery. Research framework based on balanced score card highlights risk indicators affecting performance. The risk software guides operator to avoid, minimise, mitigate or manage the relevant risks to enable successful performance outcome. The system will enable systematic risk management to achieve minimum cost and time overrun while optimising quality of delivery in a project management environment.
dc.description.sponsorshipEU FP7 Marie Curie Award
dc.language.isoen
dc.publisherElsevier (Science Direct)
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S2351978917304572
dc.subjectRisk
dc.subjectSoftware
dc.subjectSMEs
dc.subjectConstruction Engineering
dc.subjectBalanced Scorecard
dc.titleFramework for risk management software system for SMEs in the engineering construction sector
dc.typeJournal article
dc.identifier.journalProcedia Manufacturing
dc.description.note27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, 27-30 June 2017, Modena, Italy
dc.date.accepted2017-08-31
rioxxterms.funderUniversity of Wolverhampton
rioxxterms.identifier.projectUoW271017CFO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0
rioxxterms.licenseref.startdate2017-10-27
dc.source.volume11
dc.source.beginpage1231
dc.source.endpage1238
refterms.dateFCD2018-10-19T09:24:44Z
refterms.versionFCDVoR
refterms.dateFOA2017-10-27T00:00:00Z
html.description.abstractSmall and medium-sized enterprises (SMEs) in construction sector are vulnerable and face exposure to risks whilst operating without risk management system in place. Evidence from market research and industry surveys confirm that SMEs underperform due to inability to manage operational risk challenges facing them. The objective of this study is to develop risk management software enabling SMEs in the construction sector to proactively identify, analyse and manage risks facing them to enhance business performance. Performance in the construction sector is assessed in terms of completion time, project execution cost and overall quality of delivery. Research framework based on balanced score card highlights risk indicators affecting performance. The risk software guides operator to avoid, minimise, mitigate or manage the relevant risks to enable successful performance outcome. The system will enable systematic risk management to achieve minimum cost and time overrun while optimising quality of delivery in a project management environment.


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