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Supply chain integration scales validation and benchmark values

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Supply chain integration scales validation and benchmark values

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dc.contributor.author Marín-García, Juan Antonio es_ES
dc.contributor.author Alfalla Luque, Rafaela es_ES
dc.contributor.author Medina-López, Carmen es_ES
dc.date.accessioned 2014-12-16T13:06:20Z
dc.date.available 2014-12-16T13:06:20Z
dc.date.issued 2013
dc.identifier.issn 2013-8423
dc.identifier.uri http://hdl.handle.net/10251/45500
dc.description.abstract [EN] Purpose: The clarification of the constructs of the supply chain integration (clients, suppliers, external and internal), the creation of a measurement instrument based on a list of items taken from earlier papers, the validation of these scales and a preliminary benchmark to interpret the scales by percentiles based on a set of control variables (size of the plant, country, sector and degree of vertical integration). Design/methodology/approach: Our empirical analysis is based on the HPM project database (2005-2007 timeframe). The international sample is made up of 266 plants across ten countries: Austria, Canada, Finland, Germany, Italy, Japan, Korea, Spain, Sweden and the USA. In each country. We analized the descriptive statistics, internal consistency testing to purify the items (inter-item correlations, Cronbach’s alpha, squared multiple correlation, corrected item-total correlation), exploratory factor analysis, and finally, a confirmatory factor analysis to check the convergent and discriminant validity of the scales. The analyses will be done with the SPSS and EQS programme using the maximum likelihood parameter estimation method. Findings: The four proposed scales show excellent psychometric properties. Research limitations/implications: with a clearer and more concise designation of the supply chain integration measurement scales more reliable and accurate data could be taken to analyse the relations between these constructs with other variables of interest to the academic l fields. Practical implications: providing scales that are valid as a diagnostic tool for best practices, as well as providing a benchmark with which to compare the score for each individual plant against a collection of industrial companies from the machinery, electronics and transportation sectors. Originality/value: supply chain integration may be a major factor in explaining the performance of companies. The results are nevertheless inconclusive, the vast range of results obtained are due, amongst other things, to the fact that there is no exactness to the group of scales used, no-one has yet published an analysis of the measurement models nor clear benchmarks as to the variety of the scales used. es_ES
dc.description.sponsorship This paper has been made possible thanks to grant DPI2006-05531 (HPM Project-Spain: Project for high performance manufacturing) awarded by the Spanish Ministry of Education and Science and the project “CORSARI MAGIC DPI2010-18243” by the Spanish Ministry of Science and Innovation within the Program “Proyectos de Investigación Fundamental No Orientada”.
dc.language Inglés es_ES
dc.publisher OmniaScience es_ES
dc.relation.ispartof Journal of Industrial Engineering and Management es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Scale validation es_ES
dc.subject Questionnaire es_ES
dc.subject Reliability es_ES
dc.subject Validity es_ES
dc.subject Psichometric properties es_ES
dc.subject Supply chain integration es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Supply chain integration scales validation and benchmark values es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3926/jiem.517
dc.relation.projectID info:eu-repo/grantAgreement/MEC//DPI2006-05531/ES/HPM PROJECT-SPAIN: PROYECTO PARA LA MANUFACTURA DE ALTO RENDIMIENTO (HIGH PERFORMANCE MANUFACTURING)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2010-18243/ES/COORDINACION DE OPERACIONES EN REDES DE SUMINISTRO%2FDEMANDA AJUSTADAS, RESILIENTES A LA INCERTIDUMBRE: MODELOS Y ALGORITMOS PARA LA GESTION DE LA INCERTIDUMBRE Y LA COMPLEJIDAD/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Grupo de Investigación en Reingeniería, Organización, trabajo en Grupo y Logística Empresarial (ROGLE) es_ES
dc.description.bibliographicCitation Marín-García, JA.; Alfalla Luque, R.; Medina-López, C. (2013). Supply chain integration scales validation and benchmark values. Journal of Industrial Engineering and Management. 6(2):423-440. https://doi.org/10.3926/jiem.517 es_ES
dc.description.accrualMethod S es_ES
dc.description.upvformatpinicio 423 es_ES
dc.description.upvformatpfin 440 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 6 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 253613
dc.identifier.eissn 2013-0953
dc.contributor.funder Ministerio de Educación y Ciencia
dc.contributor.funder Ministerio de Ciencia e Innovación


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