Building services maintenance: an outsource service provider selection via scoring model

dc.contributor.authorWanigasinghe, PC
dc.contributor.authorMahakalanda, I
dc.date.accessioned2018-07-13T21:32:29Z
dc.date.available2018-07-13T21:32:29Z
dc.description.abstractBuilding services outsourcing has become popular as it gives a peace-of-mind for the firms by contracting operation and maintenance of the building services to an external expert party for an agreed period and for agreed fee. However, the main issue faced by a firm is to select the most suitable outsource. The objective of this study is to identify critical service provider selection factors, in the area of building service maintenance outsourcing in property management and, to construct a scoring model that can be used at the decision making level. We have chosen quantitative/ structured questionnaire survey research approach. Expert views helped to identify the service provider selection factors in the premises and property management sector in Sri Lanka. We deploy Fuzzy Delphi Methods (FDM) to ranking and identifying weights of the service provider selection factors. Then Analytical Hierarchy Process (AHP) model computes the weights of the screened factors by performing pair-wise comparisons. These weighted factors can be used to construct the service provider selection model.en_US
dc.identifier.conferenceInternational Conference on Business Researchen_US
dc.identifier.departmentDepartment of Management of Technologyen_US
dc.identifier.emailpraween1986@gmail.comen_US
dc.identifier.facultyBusinessen_US
dc.identifier.pgnospp. 39-48en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingInternational Conference on Business Research (ICBR) 2018en_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13256
dc.identifier.year2018en_US
dc.language.isoenen_US
dc.subjectAHPen_US
dc.subjectbuilding maintenanceen_US
dc.subjectFDMen_US
dc.subjectoutsourcingen_US
dc.titleBuilding services maintenance: an outsource service provider selection via scoring modelen_US
dc.typeConference-Full-texten_US

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