Analysis of the effect of a university’s integrated marketing communication activities on university choices using the decision tree technique

dc.contributor.author Ali Galip Ayvat
dc.contributor.author Fatma Gun̈tur̈kun
dc.date.accessioned 2025-10-06T17:50:07Z
dc.date.issued 2022
dc.description.abstract This research aims to study whether students and their parents are exposed to a foundation university’s integrated marketing communication practices and to measure the effects of these practices on university choice. Two main groups of stakeholders are considered: the students and their parents. This study contributes to the theory by modeling the heterogeneity of impact of communication tools between the students’ and parents’ university choices by the decision tree technique. It also contributes to the literature because it fills a gap by including both students and their parents. Results of the decision tree analysis revealed that the perceived reputation of the academic staff and the content of the universities’ websites are the most important factors for both students and parents in their choice of a university. The information and suggestions gathered from students of the chosen university are also important. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1080/08841241.2022.2152919
dc.identifier.issn 08841241, 15407144
dc.identifier.issn 0884-1241
dc.identifier.issn 1540-7144
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144065860&doi=10.1080%2F08841241.2022.2152919&partnerID=40&md5=eb88affb247f2808beb68fad9953a035
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8774
dc.language.iso English
dc.publisher Routledge
dc.relation.ispartof Journal of Marketing for Higher Education
dc.source Journal of Marketing for Higher Education
dc.subject Decision Tree, Higher Education Marketing (hem), Integrated Marketing Communication (imc) Activities, Universities
dc.title Analysis of the effect of a university’s integrated marketing communication activities on university choices using the decision tree technique
dc.type Article
dspace.entity.type Publication
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gdc.bip.influenceclass C5
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 321
gdc.description.startpage 299
gdc.description.volume 35
gdc.identifier.openalex W4311706202
gdc.index.type Scopus
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gdc.oaire.popularity 3.1204526E-9
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gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0503 education
gdc.openalex.collaboration International
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gdc.opencitations.count 0
gdc.plumx.mendeley 32
gdc.plumx.scopuscites 2
person.identifier.scopus-author-id Ayvat- Ali Galip (58018382300), Gun̈tur̈kun- Fatma (57217183976)
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