000162246 001__ 162246
000162246 005__ 20251017144653.0
000162246 0247_ $$2doi$$a10.1080/09537287.2024.2420178
000162246 0248_ $$2sideral$$a140606
000162246 037__ $$aART-2024-140606
000162246 041__ $$aeng
000162246 100__ $$aAlfalla-Luque, Rafaela
000162246 245__ $$aTriple-A supply chains: unveiling the mediating power of collaboration and innovation on operational performance
000162246 260__ $$c2024
000162246 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162246 5203_ $$aTriple-A (agile, adaptable, and aligned) Supply Chain (SC) has been analyzed as a source of competitive advantage, but the influence of mediating variables in this relationship remains underexplored. This research seeks to advance the Triple-A SC framework by considering and testing the mediating effects of SC collaboration and innovation levels on the Triple-A SC–operational performance (efficiency and responsiveness) relationship. The research model was tested with PLS-SEM using a sample of 277 Spanish manufacturing firms with a minimum of 50 employees from 14 different sectors. The results show that SC collaboration and innovation levels significantly mediate relationships between Triple-A SC and operational performance. Additionally, collaboration level plays a more important role in responsiveness than efficiency, while innovation level has similar effects on both performance dimensions. This work contributes to knowledge on the impact of Triple-A SC on operational performance and alerts managers to the need to strengthen their levels of collaboration with SC partners and innovation over their main competitors.
000162246 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-105001GB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-106577GB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2023-148345NB-I00
000162246 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000162246 590__ $$a5.4$$b2024
000162246 592__ $$a2.198$$b2024
000162246 591__ $$aENGINEERING, INDUSTRIAL$$b15 / 69 = 0.217$$c2024$$dQ1$$eT1
000162246 593__ $$aComputer Science Applications$$c2024$$dQ1
000162246 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b15 / 106 = 0.142$$c2024$$dQ1$$eT1
000162246 593__ $$aStrategy and Management$$c2024$$dQ1
000162246 591__ $$aENGINEERING, MANUFACTURING$$b17 / 71 = 0.239$$c2024$$dQ1$$eT1
000162246 593__ $$aManagement Science and Operations Research$$c2024$$dQ1
000162246 593__ $$aIndustrial and Manufacturing Engineering$$c2024$$dQ1
000162246 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000162246 700__ $$aGarrido-Vega, Pedro
000162246 700__ $$0(orcid)0000-0002-0627-0795$$aMartínez-Jurado, Pedro J.$$uUniversidad de Zaragoza
000162246 700__ $$aSacristán-Díaz, Macarena
000162246 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000162246 773__ $$g(2024), [18 pp.]$$pProd. plan. control$$tPRODUCTION PLANNING & CONTROL$$x0953-7287
000162246 8564_ $$s1157525$$uhttps://zaguan.unizar.es/record/162246/files/texto_completo.pdf$$yPostprint
000162246 8564_ $$s741792$$uhttps://zaguan.unizar.es/record/162246/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000162246 909CO $$ooai:zaguan.unizar.es:162246$$particulos$$pdriver
000162246 951__ $$a2025-10-17-14:37:14
000162246 980__ $$aARTICLE