000126522 001__ 126522
000126522 005__ 20250403144231.0
000126522 0247_ $$2doi$$a10.1016/j.inffus.2023.101888
000126522 0248_ $$2sideral$$a134050
000126522 037__ $$aART-2023-134050
000126522 041__ $$aeng
000126522 100__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza
000126522 245__ $$aSteering committee management. Expertise, diversity, and decision-making structures
000126522 260__ $$c2023
000126522 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126522 5203_ $$aThis paper proposes to analyze how the differences in expertise, diversity, and group decision procedures affect the quality of the strategic decision of steering committees. Strategic decisions are difficult to anticipate, and performances of the alternatives are often not observable in their entirety, which prevent researchers from obtaining controlled empirical studies. This paper proposes to analyze the performance of steering committees where managers can err in their decisions using the Intentional Bounded Rationality (IBR). The majority procedure improves the committee's performance concerning authority when the level of diversity and expertise increases. However, in situations of low expertise, the gains over authority narrow. This work provides guidance in terms of trade-offs between the mentality of managers, their expertise, group decision procedures, and diversity, which in the empirical works are contradictory. This study contributes to current theorizations of committee management using the IBR methodology, which is new and allows quantifying the contribution of the distinct characteristics of the committee.
000126522 536__ $$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2017-SOC-04$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2017-86305-C4-3-R$$9info:eu-repo/grantAgreement/ES/DGA/CREVALOR$$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113338RB-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2019-103880RB-I00
000126522 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126522 590__ $$a14.8$$b2023
000126522 592__ $$a5.647$$b2023
000126522 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b2 / 144 = 0.014$$c2023$$dQ1$$eT1
000126522 593__ $$aHardware and Architecture$$c2023$$dQ1
000126522 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b4 / 197 = 0.02$$c2023$$dQ1$$eT1
000126522 593__ $$aSoftware$$c2023$$dQ1
000126522 593__ $$aSignal Processing$$c2023$$dQ1
000126522 593__ $$aInformation Systems$$c2023$$dQ1
000126522 594__ $$a33.2$$b2023
000126522 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126522 700__ $$aChiclana, Francisco
000126522 700__ $$aHerrera-Viedma, Enrique
000126522 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000126522 773__ $$g99 (2023), 101888 [10 pp.]$$pInformation Fusion$$tInformation Fusion$$x1566-2535
000126522 8564_ $$s947364$$uhttps://zaguan.unizar.es/record/126522/files/texto_completo.pdf$$yVersión publicada
000126522 8564_ $$s2535325$$uhttps://zaguan.unizar.es/record/126522/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126522 909CO $$ooai:zaguan.unizar.es:126522$$particulos$$pdriver
000126522 951__ $$a2025-04-03-14:39:53
000126522 980__ $$aARTICLE