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Supply chain integration scales validation and benchmark values

 

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dc.creator Marín García, Juan Antonio es
dc.creator Alfalla Luque, Rafaela es
dc.creator Medina López, Carmen es
dc.date.accessioned 2017-04-20T10:47:26Z
dc.date.available 2017-04-20T10:47:26Z
dc.date.issued 2013
dc.identifier.citation Marín García, J.A., Alfalla Luque, R. y Medina López, M.d.C. (2013). Supply chain integration scales validation and benchmark valuesoper. Journal of Industrial Engineering and Management, 6 (2), 423-440.
dc.identifier.issn 2013-0953 es
dc.identifier.issn 2013-8423 es
dc.identifier.uri http://hdl.handle.net/11441/57978
dc.description.abstract 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, noone has yet published an analysis of the measurement models nor clear benchmarks as to the variety of the scales used. es
dc.description.sponsorship Ministerio de Ciencia y Tecnología de España DPI2006-05531 es
dc.description.sponsorship Ministerio de Educación y Ciencia y al proyecto "CORSARI MAGIC DPI2010-18243 es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher OmniaScience es
dc.relation.ispartof Journal of Industrial Engineering and Management, 6 (2), 423-440.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject scale validation es
dc.subject questionnaire es
dc.subject reliability es
dc.subject validity es
dc.subject psichometric properties es
dc.subject supply chain integration es
dc.title Supply chain integration scales validation and benchmark values es
dc.type info:eu-repo/semantics/article es
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 DPI2006-05531 es
dc.relation.projectID DPI2010-18243 es
dc.relation.publisherversion http://www.jiem.org/index.php/jiem/article/view/517 es
dc.identifier.doi dx.doi.org/10.3926/jiem.517 es
idus.format.extent 18 es
dc.journaltitle Journal of Industrial Engineering and Management es
dc.publication.volumen 6 es
dc.publication.issue 2 es
dc.publication.initialPage 423 es
dc.publication.endPage 440 es
dc.contributor.funder Ministerio de Ciencia y Tecnología (MCYT). España
dc.contributor.funder Ministerio de Educación y Ciencia (MEC). España
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