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dc.contributor.authorMartínez, Ricardo-
dc.contributor.authorSánchez Soriano, Joaquín-
dc.contributor.authorLlorca, Natividad-
dc.contributor.otherDepartamentos de la UMH::Estadística, Matemáticas e Informáticaes_ES
dc.date.accessioned2026-07-16T08:50:49Z-
dc.date.available2026-07-16T08:50:49Z-
dc.date.created2022-
dc.identifier.citationOmega: The International Journal of Management Sciencees_ES
dc.identifier.issn0305-0483-
dc.identifier.issn1873-5274-
dc.identifier.urihttps://hdl.handle.net/11000/40206-
dc.description.abstractIn this paper we study how to assess the performance of a group of individuals according to their achievements in several attributes or categories by means of a scoring system. Such an assessment is the composition of two steps. First, each individual obtains a partial score in each category (that may potentially depend on her opponents’ performance). And second, those partial scores are combined into a global assessment. The partial score in each attribute is upper bounded by an exogenous threshold or cap. Each problem is determined by four elements: a set of agents (or tenders), a set of attributes to be evaluated, a matrix of achievements that specified the score each agent has obtained in each attribute, and a vector of caps. By means of the axiomatic methodology, we identify the families of assessment functions that satisfy some natural requirements (anonymity, continuity, monotonicity, null contribution, additivity, and separability). Our findings state that these families are weighted averages of the attribute assessments. Finally, as an illustration, we analyze a public tender whose purpose was to carry out an accounts auditing of a public company. As a practical implication of our theoretical results, we show that truncation presents significant advantages with respect to other methods. Particularly, it avoids the exclusion paradox.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent14es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofseriesVol. 111es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectpublic procurementes_ES
dc.subjecttenderes_ES
dc.subjectassessmentes_ES
dc.subjectscoringes_ES
dc.subjectcapes_ES
dc.subjectweighted averagees_ES
dc.subjecttruncationes_ES
dc.subjectproportionalityes_ES
dc.subject.otherCDU::5 - Ciencias puras y naturales::51 - Matemáticases_ES
dc.subject.otherCDU::3 - Ciencias sociales::31 - Demografía. Sociología. Estadística::311 - Estadísticaes_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::65 - Gestión y organización. Administración y dirección de empresas. Publicidad. Relaciones públicas. Medios de comunicación de masases_ES
dc.subject.otherCDU::3 - Ciencias sociales::35 - Administración pública. Gobierno. Asuntos militareses_ES
dc.titleAssessments in public procurement procedureses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.omega.2022.102660es_ES
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Artículos - Estadística, Matemáticas e Informática


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