Application of structural equation modelling to analyse the impacts of logistics services on risk perception, agility and customer service level

Logistics services of manufacturing enterprises help to improve transport, delivery of materials and finished products. This paper presents a causal model to identify the influence that has the availability of logistics services on the risk perception, on agility and on customer service level of man...

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Detalles Bibliográficos
Autores: Jorge L Garcia, Aide Maldonado-Macías, jose mejia, Liliana Avelar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:México
Institución:Universidad Autónoma de Ciudad Juárez
Repositorio:Repositorio Institucional de la Universidad Autónoma de Ciudad Juárez
OAI Identifier:oai:uacj.mx:oai:cathi.uacj.mx:20.500.11961ir-4044
Acceso en línea:https://doi.org/10.14743/apem2018.2.283
Access Level:acceso abierto
Palabra clave:Logistics services
Perception risk
Customer service
Agility
Supply chain
Research Subject Categories::SOCIAL SCIENCES::Business and economics
Research Subject Categories::TECHNOLOGY::Industrial engineering and economy::Industrial organisation, administration and economics
info:eu-repo/classification/cti/5
Descripción
Sumario:Logistics services of manufacturing enterprises help to improve transport, delivery of materials and finished products. This paper presents a causal model to identify the influence that has the availability of logistics services on the risk perception, on agility and on customer service level of manufacturing companies. A questionnaire was developed, validated and applied to 225 employees of different industrial sectors. Information is integrated in a structural equation model for test seven hypotheses using partial least squares to calculate the regression coefficient between variables using 95 % confidence level. The results mainly indicated that the availability of logistics services have a positive and direct effect on risk in demand and in supplier's risk; but in addition, agility and transportation also have effects over them. All these variables have direct or indirect contributions on customer service level and can explain 45 % of its variability