2013
DOI: 10.3926/jiem.517
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Supply chain integration scales validation and benchmark values

Abstract: 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 datab… Show more

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Cited by 6 publications
(4 citation statements)
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“…Three control variables that could influence SCI dimensions were also included in our models: industry sector (Danese and Romano, 2011;Liu et al, 2016), plant size (Danese and Romano, 2011;Marin-Garcia et al, 2013) and plant age (Perols et al, 2013). Industry sector has been modelled as a composite (Henseler et al, 2016) consisting of seven dummy variables representing all the sectors included in the sample, except for the "Meat industry and Food products" sector, which is taken as the benchmark.…”
Section: Mediating and Non-linear Relationshipsmentioning
confidence: 99%
“…Three control variables that could influence SCI dimensions were also included in our models: industry sector (Danese and Romano, 2011;Liu et al, 2016), plant size (Danese and Romano, 2011;Marin-Garcia et al, 2013) and plant age (Perols et al, 2013). Industry sector has been modelled as a composite (Henseler et al, 2016) consisting of seven dummy variables representing all the sectors included in the sample, except for the "Meat industry and Food products" sector, which is taken as the benchmark.…”
Section: Mediating and Non-linear Relationshipsmentioning
confidence: 99%
“…SCI was measured across three dimensions: internal, supplier and customer integration. The items for II were adapted from Basnet (2013) and Huo et al (2014), and those for supplier integration and customer integration from Marin-Garcia et al (2013). Strategy typology was operationalised using items that solicit both strategy orientations and structural dimensions.…”
Section: Measurement Instrumentmentioning
confidence: 99%
“…Para dar respuesta al objetivo 1 presentaremos la tabla de correlaciones de Pearson entre las competencias. Para el objetivo 2, realizaremos un análisis factorial exploratorio, con componentes principales, analizando correlaciones y con rotación ortogonal varimax (Hair et al, 1995;Losilla et al, 2005;Marin-Garcia, 2012;Marin-Garcia et al, 2013). El número de factores extraídos se basa en el criterio de eigenvalue >1, el análisis de pendiente de número de componentes y el criterio de varianza extraída superior al 80%.…”
Section: Desarrollo De La Innovaciónunclassified