A weighted, composite index scoring model: setting priorities and assessing agri-food research projects

dc.contributor.advisorHoward, Wayne
dc.contributor.authorHo, Quang Viet
dc.date.accessioned2020-12-03T18:09:14Z
dc.date.available2020-12-03T18:09:14Z
dc.date.copyright1999
dc.degree.departmentDepartment of Agricultural Economics and Businessen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.description.abstractThe joint research units between the Ontario Ministry of Agriculture, Food and Rural Areas and the University of Guelph increase efficiency and reduce duplication and operation costs. The joint research effort also enhances research excellence in order to meet the growing demands and the needs of the people and the Ontario agri-food industries, and to be competitive in the global market as these criteria are listed in the mandates of the two organizations. The Office of Research of the University sets priorities and administers the research proposal evaluation process of the partnership to set priorities for research proposals so that scarce resources are efficiently allocated across basic, applied, maintenance and service research. A weighted composite index scoring model, consisting of an analytic hierarchy process, congruence and scoring models, is presented in which criteria are transparent, and the process is analytically vigorous and clear so this process can be accepted by both the scientists and management. The criteria are articulated in the mandates and objectives of the two organizations. Efficiency of resource allocation is also estimated. Research projects are ranked according to their merit.en_US
dc.identifier.urihttps://hdl.handle.net/10214/21964
dc.language.isoen
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectsetting prioritiesen_US
dc.subjectassessing researchen_US
dc.subjectresource allocationen_US
dc.subjectweighted composite index scoringen_US
dc.subjectanalytic hierarchy processen_US
dc.subjectcongruenceen_US
dc.titleA weighted, composite index scoring model: setting priorities and assessing agri-food research projectsen_US
dc.typeThesisen_US

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