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dc.contributor.authorSayeras, Josep M.
dc.contributor.authorAgell, Nuria
dc.contributor.authorRovira Llobera, Xari
dc.contributor.authorSánchez Soler, Monica
dc.contributor.authorDawson, John A.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2017-03-14T09:15:28Z
dc.date.available2017-08-31T00:30:37Z
dc.date.issued2016-08-01
dc.identifier.citationSayeras, J., Agell, N., Rovira, X., Sanchez, M., Dawson, J. A measure of perceived performance to assess resource allocation. "Soft computing", 1 Agost 2016, vol. 20, núm. 8, p. 3201-3214.
dc.identifier.issn1432-7643
dc.identifier.urihttp://hdl.handle.net/2117/102418
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/s00500-015-1696-3
dc.description.abstractPerformance measurement is a key issue when a company is designing new strategies to improve resource allocation. This paper offers a new methodology inspired by classic importance-performance analysis (IPA) that provides a global index of importance versus performance for firms. This index compares two rankings of the same set of features regarding importance and performance, taking into account underperforming features. The marginal contribution of each feature to the proposed global index defines a set of iso-curves that represents an improvement in the IPA diagram. The defined index, together with the new version of the diagram, will enable the assessment of a firm's overall performance and, therefore, enhance decision making in the allocation of resources. The proposed methodology has been applied to a Taiwanese multi-format retailer and managerial perceptions of performance and importance are compared to assess the firm's overall performance.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
dc.subject.lcshInformation theory
dc.subject.lcshProgramming (Mathematics)
dc.subject.otherPerformance evaluation
dc.subject.otherReasoning under uncertainty
dc.subject.otherFuzzy operator
dc.subject.otherSimilarity index
dc.titleA measure of perceived performance to assess resource allocation
dc.typeArticle
dc.subject.lemacInformació, Teoria de la
dc.subject.lemacProgramació (Matemàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.identifier.doi10.1007/s00500-015-1696-3
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::94 Information And Communication, Circuits::94D05 Fuzzy sets and logic
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90C Mathematical programming
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs00500-015-1696-3
dc.rights.accessOpen Access
local.identifier.drac18821428
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/6PN/TIN2010-20966-C02-02
local.citation.authorSayeras, J.; Agell, N.; Rovira, X.; Sanchez, M.; Dawson, J.
local.citation.publicationNameSoft computing
local.citation.volume20
local.citation.number8
local.citation.startingPage3201
local.citation.endingPage3214


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