dc.creator | Marín García, Juan Antonio | es |
dc.creator | Domínguez Machuca, José Antonio | es |
dc.creator | Alfalla Luque, Rafaela | es |
dc.date.accessioned | 2024-01-09T11:46:17Z | |
dc.date.available | 2024-01-09T11:46:17Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Marín García, J.A., Domínguez Machuca, J.A. y Alfalla Luque, R. (2023). In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models’ competitive advantage predictive capacity. International journal of physical distribution & logistics management, 53 (7-8), 860-885. https://doi.org/10.1108/IJPDLM-03-2022-0091. | |
dc.identifier.issn | 0960-0035 | es |
dc.identifier.issn | 1758-664X | es |
dc.identifier.uri | https://hdl.handle.net/11441/153072 | |
dc.description.abstract | Purpose – To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.
Design/methodology/approach – Assessment of in-sample and out-of-sample predictive capacity of Triple-ACA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.
Findings – Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM’s greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.
Research limitations/implications – DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study’s aim.
Practical implications – Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.
Originality/value – First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model’s predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee’s Triple-A framework. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación MCIN/AEI/10.13039/501100011033 | es |
dc.description.sponsorship | Consejería de Transformación Económica, Industria, Conocimiento y Universidades PY20_01209 | es |
dc.format.extent | 26 p. | es |
dc.language.iso | eng | es |
dc.publisher | Emerald Group Publishing | es |
dc.relation.ispartof | International journal of physical distribution & logistics management, 53 (7-8), 860-885. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Triple-A supply chain | es |
dc.subject | AAA | es |
dc.subject | Agility | es |
dc.subject | Adaptability | es |
dc.subject | Alignment | es |
dc.subject | PLSpredict | es |
dc.subject | BIC | es |
dc.subject | Akaike weights | es |
dc.subject | Competing model assessment | es |
dc.subject | Performance | es |
dc.subject | Competitive advantage | es |
dc.title | In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models’ competitive advantage predictive capacity | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Financiera y Dirección de Operaciones | es |
dc.relation.projectID | PID2019-105001GB-I00 by MCIN/AEI/10.13039/501100011033 | es |
dc.relation.projectID | PY20_01209 | es |
dc.relation.publisherversion | https://doi.org/10.1108/IJPDLM-03-2022-0091 | es |
dc.identifier.doi | 10.1108/IJPDLM-03-2022-0091 | es |
dc.contributor.group | SEJ-415: G.I.D.E.A.O. | es |
dc.journaltitle | International journal of physical distribution & logistics management | es |
dc.publication.volumen | 53 | es |
dc.publication.issue | 7-8 | es |
dc.publication.initialPage | 860 | es |
dc.publication.endPage | 885 | es |