Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2558
Full metadata record
DC FieldValueLanguage
dc.creatorUskoković, Veljko-
dc.creatorStamenković, Mladen-
dc.creatorJeremić, Veljko-
dc.date.accessioned2023-10-18T15:02:04Z-
dc.date.available2023-10-18T15:02:04Z-
dc.date.issued2022
dc.identifier.urihttps://claio2022.dc.uba.ar/docs/abstract-book.pdf-
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2558-
dc.description.abstractThe methodological issues encompassing the composite index development and evaluation have been a long-standing point of confronting ideas. In particular, the topics of indicators' selection, weighting scheme, substitutability, etc., have triggered numerous researchers in a quest for a methodologically robust composite index. The benefits of the composite index have consistently overshadowed the range of methodological inconsistencies; however, the continuous efforts have been pushed forward to minimise the effect of a methodological framework on the applicability of the obtained results and the potential to communicate it to a broader audience. As a potential remedy to the challenges mentioned above, we advocate the novel approaches in a taxonomy-based decision support system. More to the point, by applying the proposed approach, decision-makers are able to enhance the quality of decisions and consequently establish recommendations for sound policies. We evaluated the Cities of The Future Index (CFI), introduced by the EasyPark group as a case study. Furthermore, particular emphasis was given to the potential for improving the CFI.sr
dc.language.isoensr
dc.publisherFacultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires, Argentinasr
dc.relationinfo:eu-repo/grantAgreement/ScienceFundRS/Ideje/7523041/RS//sr
dc.rightsclosedAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceXXI Latin Ibero-American Conference on Operations Research CLAIO 2022sr
dc.subjectComposite Indexsr
dc.subjectTaxonomy-Based Decision Support Systemsr
dc.subjectMethodological Robustnesssr
dc.subjectCities of The Future Indexsr
dc.titleA quest for methodologically robust composite index development: A case study for the evaluation of global citizens' wellbeing and liveabilitysr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage89-
dc.citation.spage88-
dc.type.versionpublishedVersionsr
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextreserved-
item.openairetypeconferenceObject-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
Files in This Item:
File Description SizeFormat 
abstract-book.pdf
  Restricted Access
885.36 kBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons