DC FieldValueLanguage
dc.contributor.authorGiovanis, Apostolos-
dc.contributor.authorBinioris, Spyridon-
dc.contributor.authorPolitis, Yannis-
dc.date.accessioned2024-05-24T12:38:35Z-
dc.date.available2024-05-24T12:38:35Z-
dc.date.issued2014-07-01-
dc.identifierscopus-84954529199-
dc.identifier.issn1746-5672-
dc.identifier.issn1746-5664-
dc.identifier.other84954529199-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2464-
dc.description.abstractPurpose – The purpose of this paper is to implement a multi-criteria preference disaggregation approach to measure logistics service quality (LSQ) of manufacturing companies’ supply chains. Design/methodology/approach – A total 216 Greek manufacturing companies took part in a survey with the use of a dedicated questionnaire. They were asked to assess the LSQ of their primary supplier regarding a predefined set of criteria and sub-criteria. The data were analysed with the multi-criteria satisfaction analysis method, which represents an ordinal regression based approach used for customer satisfaction measurement. Findings – Weak points of the suppliers as well as dimensions that drive satisfaction were identified. Furthermore, the competitive advantages of the suppliers as well as their priorities for improvement were spotted. Research limitations/implications – The sampling framework, including only the manufacturing companies operating in a specific area of Greece, does not ensure the full generalisation of the results. A larger sample of manufacturing companies from all over Greece would be useful to obtain more reliable results and would enable the comparison of LSQ for different manufacturing sectors. Practical implications – The method used to assess LSQ of manufacturing companies can be installed as a permanent customer satisfaction barometer to measure, control and improve the LSQ provided to manufacturing companies as well as to other business sectors. Originality/value – This paper proposes a method to explore the relationships between LSQ and industrial customers’ satisfaction to prioritise strategic plans of companies in the supply chains.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Modelling in Managementen_US
dc.subjectGreeceen_US
dc.subjectIndustrial customer satisfactionen_US
dc.subjectLogistics service qualityen_US
dc.subjectManufacturing supply chainsen_US
dc.subjectMUSA methoden_US
dc.subjectSupply chainsen_US
dc.titleLogistics service quality and its effects on customer satisfaction in the manufacturing companies’ supply chains: empirical evidence from Greeceen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/JM2-05-2012-0016en_US
dc.identifier.scopus2-s2.0-84954529199-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume9en_US
dc.relation.issue2en_US
dc.identifier.spage215en_US
dc.identifier.epage237en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-1028-146X-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

29
checked on Nov 19, 2024

Page view(s)

22
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.