Vol. 5, Iss. 1, 2019
Traveler segmentation through Social Media for intercultural marketing purposes: The case of Halkidiki
Eleni Mavragani (ORCiD),International Hellenic University, Greece, Paraskevi Nikolaidou (ORCiD),International Hellenic University, Greece & Efi Theodoraki (ORCiD),International Hellenic University, Greece
Published online: 15 April 2019, JTHSM, 5(1), pp. 15-23.
URN: urn:nbn:de:0168-ssoar-66386-72, DOI: 10.5281/zenodo.2641011
DataCite XML Export
| <?xml version=’1.0′ encoding=’utf-8′?> <resource xmlns:xsi=”http://www.w3.org/2001/XMLSchema-instance” xmlns=”http://datacite.org/schema/kernel-4″ xsi:schemaLocation=”http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd”> <identifier identifierType=”DOI”>10.5281/zenodo.2641011</identifier> <creators> <creator> <creatorName>Eleni Mavragani</creatorName> <affiliation>International Hellenic University</affiliation> </creator> <creator> <creatorName>Paraskevi Nikolaidou</creatorName> <affiliation>International Hellenic University</affiliation> </creator> <creator> <creatorName>Efi Theodoraki</creatorName> <affiliation>International Hellenic University</affiliation> </creator> </creators> <titles> <title>Traveler segmentation through Social Media for intercultural marketing purposes: The case of Halkidiki</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <subjects> <subject>customer segmentation</subject> <subject>customer profiling</subject> <subject>digital marketing</subject> <subject>social media</subject> <subject>intercultural marketing</subject> </subjects> <dates> <date dateType=”Issued”>2019-04-15</date> </dates> <language>en</language> <resourceType resourceTypeGeneral=”Text”>Journal article</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType=”url”>https://zenodo.org/record/2641011</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType=”ISSN” relationType=”IsPartOf”>2529-1947</relatedIdentifier> <relatedIdentifier relatedIdentifierType=”DOI” relationType=”IsVersionOf”>10.5281/zenodo.2641010</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI=”http://creativecommons.org/licenses/by/4.0/legalcode”>Creative Commons Attribution 4.0 International</rights> <rights rightsURI=”info:eu-repo/semantics/openAccess”>Open Access</rights> </rightsList> <descriptions> <description descriptionType=”Abstract”><p><em>This paper aims to present a methodology for the segmentation of travelers by studying social media profiles and extracting information on their preferences and demographic traits. Through the study of the sample&rsquo;s social media profiles (Instagram, Facebook, and Twitter), information about travelers&rsquo; demographics and preferences are combined for the segmentation of the tourists visiting a Greek region. From the analysis of the data, 10 preference-based segments occur, while the cultural-based division corresponds to the main national groups visiting the region</em></p></description> <description descriptionType=”Other”>SUBMITTED: JULY 2018, REVISION SUBMITTED: DECEMBER 2018, ACCEPTED: JANUARY 2019; REFEREED ANONYMOUSLY, PUBLISHED ONLINE: 15 APRIL 2019</description> </descriptions> </resource> |