000150777 001__ 150777 000150777 005__ 20251017144651.0 000150777 0247_ $$2doi$$a10.1016/j.asoc.2025.112806 000150777 0248_ $$2sideral$$a142878 000150777 037__ $$aART-2025-142878 000150777 041__ $$aeng 000150777 100__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza 000150777 245__ $$aThe value of expert judgments in decision support systems 000150777 260__ $$c2025 000150777 5060_ $$aAccess copy available to the general public$$fUnrestricted 000150777 5203_ $$aIt is a challenge to improve a decision support system (DSS) based on expert judgments; the literature proposes to improve accuracy and performance by increasing the sophistication and complexity of the DSS, but at what cost? This study presents a model for encoding a DSS based on expert judgments and evaluating its efficiency, establishing a three-part analysis structure: information requirements (number of judgments), quality requirements (quality assurance mechanisms), and algorithmic complexity. With a focus on the cost of judgments, a systematic and quantitative coding of the performance and cost in each part of the DSS is established. A “break-even point” efficiency measure, defined as the maximum percentage of the optimal performance that can be paid per unit of resources, is proposed to ensure that the use of the DSS remains profitable. Counterintuitively, the results of a case study show that the efficiency of DSSs does not necessarily increase with respect to the informativeness level of DSSs. Overall, this study provides a new method for evaluating the efficiency of DSSs. 000150777 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/EC02017-86305-C4-3-R$$9info:eu-repo/grantAgreement/ES/MINECO/PID2020-113338RB-I00 000150777 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es 000150777 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000150777 700__ $$aChiclana, Francisco 000150777 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas 000150777 773__ $$g171 (2025), 112806 [13 pp.]$$pAppl. Soft. Comput.$$tAPPLIED SOFT COMPUTING$$x1568-4946 000150777 8564_ $$s1429671$$uhttps://zaguan.unizar.es/record/150777/files/texto_completo.pdf$$yVersión publicada 000150777 8564_ $$s2308555$$uhttps://zaguan.unizar.es/record/150777/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000150777 909CO $$ooai:zaguan.unizar.es:150777$$particulos$$pdriver 000150777 951__ $$a2025-10-17-14:36:23 000150777 980__ $$aARTICLE