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Efficiency ranking using Principal Component Analysis

dc.contributor.authorFlorou, Giannoula
dc.contributor.authorAnastasiadou, Sofia
dc.descriptionInternational Journal of Entrepreneurship and Innovative Competitiveness – IJEICen_UK
dc.description.abstractMany studies analyze the efficiency ranking of various organizations, using mainly the Data Envelope Analysis (DEA) with input and output variables. DEA is a non-parametric method, which estimates efficiency of one organization in relation to the best organization in the specific field. The method of DEA is based on linear programming and on measuring the efficiency of a production process, which represents the highest amount of output produced by given amount of input, in a specific time frame. This paper presents an alternative method of efficiency ranking using the Principal Component Analysis. Organizations are presented in the first principal component plane, using the ratios of output variables per input variables. We rank organizations using the first components coefficients. We analyze the advantages and disadvantages of the alternative method and we present an application of this method in ranking the efficiency of the Greek Technological Institutes.en_UK
dc.publisherResearch Institute for Entrepreneurship Development (RIED): Neapolis University, Pafosen_UK
dc.relation.ispartofseriesInternational Journal of Entrepreneurship and Innovative Competitiveness – IJEIC;vol. 2, issue 1, February 2020
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Business and economicsen_UK
dc.subjectPrincipal Components Analysisen_UK
dc.subjectTechnological Institutesen_UK
dc.titleEfficiency ranking using Principal Component Analysisen_UK

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