162246 20260430141017.0 doi 10.1080/09537287.2024.2420178 sideral 140606 ART-2025-140606 eng Alfalla-Luque, Rafaela Triple-A supply chains: unveiling the mediating power of collaboration and innovation on operational performance 2025 Access copy available to the general public Unrestricted Triple-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. info:eu-repo/grantAgreement/ES/MICINN/PID2019-105001GB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2019-106577GB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2023-148345NB-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 5.4 2024 ENGINEERING, INDUSTRIAL 15 / 69 = 0.217 2024 Q1 T1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 15 / 106 = 0.142 2024 Q1 T1 ENGINEERING, MANUFACTURING 17 / 71 = 0.239 2024 Q1 T1 2.198 2024 Computer Science Applications 2024 Q1 Strategy and Management 2024 Q1 Management Science and Operations Research 2024 Q1 Industrial and Manufacturing Engineering 2024 Q1 20.7 2024 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Garrido-Vega, Pedro Martínez-Jurado, Pedro J. Universidad de Zaragoza (orcid)0000-0002-0627-0795 Sacristán-Díaz, Macarena 4012 650 Universidad de Zaragoza Dpto. Direcc.Organiza.Empresas Área Organización de Empresas 36, 14 (2025), 1845-1862 Prod. plan. control PRODUCTION PLANNING & CONTROL 0953-7287 1157525 http://zaguan.unizar.es/record/162246/files/texto_completo.pdf Postprint 741792 http://zaguan.unizar.es/record/162246/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:162246 articulos driver 2026-04-30-14:05:46 ARTICLE