A Triple-A supply chain measurement model: validation and analysis

Purpose – The purpose of this paper is to establish definitions and dimensions of Triple-A supply chain (SC) variables based on a literature review and to validate a Triple-A SC measurement model using a worldwide multiple informant sample. Design/methodology/approach – Following a literature review...

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Autores: Marín García, Juan Antonio, Alfalla Luque, Rafaela, Machuca, José A.D.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/166220
Acceso en línea:https://hdl.handle.net/11441/166220
https://doi.org/10.1108/IJPDLM-06-2018-0233
Access Level:acceso abierto
Palabra clave:Competitive advantage
Agility
Adaptability
Supply chain
Alignment
Triple-A
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repository_id_str
spelling A Triple-A supply chain measurement model: validation and analysisMarín García, Juan AntonioAlfalla Luque, RafaelaMachuca, José A.D.Competitive advantageAgilityAdaptabilitySupply chainAlignmentTriple-APurpose – The purpose of this paper is to establish definitions and dimensions of Triple-A supply chain (SC) variables based on a literature review and to validate a Triple-A SC measurement model using a worldwide multiple informant sample. Design/methodology/approach – Following a literature review, Triple-A SC variables (agility, alignment and adaptability) are conceptualized and a list of possible items is created for their measurement. An international 309 plant sample is used to validate the convergent and criterion validities of the composites proposed to measure Triple-A SC. Findings – Contributions to the literature: clarification of Triple-A SC variable concepts; identification of key dimensions of Triple-A SC variables; development of a validated Triple-A SC measurement scale for future empirical research and industrial applications. Research limitations/implications – A rigorously validated instrument is needed to measure Triple-A SC variables and enable researchers to credibly test theories regarding causal links between capabilities, practices and performance. Practical implications – Proposal of a scale for use by managers of different functions to analyze Triple-A SC deployment in the company. Originality/value – The only Triple-A SC scale used in the previous literature has serious limitations: scales were not taken from an extended literature review; data were collected from single respondents in a single country. This is the first validated Triple-A SC measurement model to overcome these limitations.EmeraldEconomía Financiera y Dirección de OperacionesJunta de AndalucíaSpanish National Program of Industrial Design and Production2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/166220https://doi.org/10.1108/IJPDLM-06-2018-0233reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésInternational Journal of Physical Distribution & Logistics Management, 48 (10).DPI2009-111482015/148P08-SEJ-0384https://doi.org/10.1108/IJPDLM-06-2018-0233info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1662202026-06-17T12:51:07Z
dc.title.none.fl_str_mv A Triple-A supply chain measurement model: validation and analysis
title A Triple-A supply chain measurement model: validation and analysis
spellingShingle A Triple-A supply chain measurement model: validation and analysis
Marín García, Juan Antonio
Competitive advantage
Agility
Adaptability
Supply chain
Alignment
Triple-A
title_short A Triple-A supply chain measurement model: validation and analysis
title_full A Triple-A supply chain measurement model: validation and analysis
title_fullStr A Triple-A supply chain measurement model: validation and analysis
title_full_unstemmed A Triple-A supply chain measurement model: validation and analysis
title_sort A Triple-A supply chain measurement model: validation and analysis
dc.creator.none.fl_str_mv Marín García, Juan Antonio
Alfalla Luque, Rafaela
Machuca, José A.D.
author Marín García, Juan Antonio
author_facet Marín García, Juan Antonio
Alfalla Luque, Rafaela
Machuca, José A.D.
author_role author
author2 Alfalla Luque, Rafaela
Machuca, José A.D.
author2_role author
author
dc.contributor.none.fl_str_mv Economía Financiera y Dirección de Operaciones
Junta de Andalucía
Spanish National Program of Industrial Design and Production
dc.subject.none.fl_str_mv Competitive advantage
Agility
Adaptability
Supply chain
Alignment
Triple-A
topic Competitive advantage
Agility
Adaptability
Supply chain
Alignment
Triple-A
description Purpose – The purpose of this paper is to establish definitions and dimensions of Triple-A supply chain (SC) variables based on a literature review and to validate a Triple-A SC measurement model using a worldwide multiple informant sample. Design/methodology/approach – Following a literature review, Triple-A SC variables (agility, alignment and adaptability) are conceptualized and a list of possible items is created for their measurement. An international 309 plant sample is used to validate the convergent and criterion validities of the composites proposed to measure Triple-A SC. Findings – Contributions to the literature: clarification of Triple-A SC variable concepts; identification of key dimensions of Triple-A SC variables; development of a validated Triple-A SC measurement scale for future empirical research and industrial applications. Research limitations/implications – A rigorously validated instrument is needed to measure Triple-A SC variables and enable researchers to credibly test theories regarding causal links between capabilities, practices and performance. Practical implications – Proposal of a scale for use by managers of different functions to analyze Triple-A SC deployment in the company. Originality/value – The only Triple-A SC scale used in the previous literature has serious limitations: scales were not taken from an extended literature review; data were collected from single respondents in a single country. This is the first validated Triple-A SC measurement model to overcome these limitations.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/166220
https://doi.org/10.1108/IJPDLM-06-2018-0233
url https://hdl.handle.net/11441/166220
https://doi.org/10.1108/IJPDLM-06-2018-0233
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Physical Distribution & Logistics Management, 48 (10).
DPI2009-11148
2015/148
P08-SEJ-0384
https://doi.org/10.1108/IJPDLM-06-2018-0233
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Emerald
publisher.none.fl_str_mv Emerald
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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