DC FieldValueLanguage
dc.contributor.authorDrosos, Dimitrios-
dc.contributor.authorTsotsolas, Nikos-
dc.contributor.authorChalikias, Miltiadis-
dc.contributor.authorSkordoulis, Michalis-
dc.contributor.authorKoniordos, Michail-
dc.date.accessioned2024-04-05T09:00:49Z-
dc.date.available2024-04-05T09:00:49Z-
dc.date.issued2015-09-01-
dc.identifierscopus-84951727314-
dc.identifier.isbn9783319237657-
dc.identifier.issn18650929-
dc.identifier.other84951727314-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1809-
dc.description.abstractMobile telephony industry at both national and international level is now one of the most dynamic and competitive industries. In Greek economy, the industry contributes 2.2% of GDP annually, serving about 10 million people. Customers’ satisfaction will be one of the key components for the industry development. The scope of this study is to evaluate through a conducted in Greece survey the user satisfaction from the three mobile phone firms, namely (osmote, Vodafone and Wind, which operate in Greece. The data analysis is based on the MUSA method. MUSA (Multicriteria Satisfaction Analysis) is an ordinal regression model which is based on the principles of multicriteria decision analysis. The provided results are able to evaluate quantitative global and partial satisfaction levels and to determine the weak and strong points of mobile operators.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofCreativity in Intelligent Technologies and Data Science: Proceedings of First Conference CIT&DS 2015en_US
dc.relation.ispartofseriesCommunications in Computer and Information Scienceen_US
dc.subjectCustomer satisfactionen_US
dc.subjectMobile telephony industryen_US
dc.subjectMulticrieteria Satisfaction Analysis (MUSA)en_US
dc.subjectSatisfaction from servicesen_US
dc.subjectService qualityen_US
dc.titleEvaluating customer satisfaction: the case of the mobile telephony industry in Greeceen_US
dc.typeConference Paperen_US
dc.relation.conferenceFirst Conference "Creativity in Intelligent Technologies and Data Science" (CIT&DS 2015), 15-17 September 2015, Volgograd, Russiaen_US
dc.identifier.doi10.1007/978-3-319-23766-4_21en_US
dc.identifier.scopus2-s2.0-84951727314-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage249en_US
dc.identifier.epage267en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-0059-9781-
crisitem.author.orcid0000-0003-4173-3780-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

16
checked on Nov 3, 2024

Page view(s)

39
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


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