Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2452
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dc.creatorYazdani, Morteza
dc.creatorPamučar, Dragan
dc.creatorErdmann, Anett
dc.creatorToro-Dupouy, Luis
dc.date.accessioned2023-05-12T11:48:02Z-
dc.date.available2023-05-12T11:48:02Z-
dc.date.issued2023
dc.identifier.issn0040-1625
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2452-
dc.description.abstractInvestment in education technology (EdTech) is a complex decision problem for universities during the post-Covid era. With the objective to assess the quality and adoptability of education supply chain, a novel analyt-ical evaluation model approach is proposed, based on quality function deployment and combinative distance-based assessment. To deal with uncertainty in the evaluation process, fuzzy theory is integrated into the model. To establish the house of quality matrix, technology-based stakeholders' requirements were identified and classified in four dimensions: economic and financial, technology adoption, sustainability, competencies. Moreover, nine supplier criteria were assumed. Based on expert evaluations, the results suggest that financial credit and supplier collaboration are the most prominent attributes to evaluate suppliers, while environmental commitment is sorted as the least important criterion. The results reveal that the three dominant suppliers, which provide the best response to the identified criteria, are providers of cloud service technology.en
dc.publisherElsevier Science Inc, New York
dc.rightsrestrictedAccess
dc.sourceTechnological Forecasting and Social Change
dc.subjectSustainable supplier selectionen
dc.subjectMulti-criteria decision-makingen
dc.subjectEducation technologyen
dc.subjectDigitalization of educationen
dc.subjectCombinative distance-based assessmenten
dc.titleResilient sustainable investment in digital education technology: A stakeholder-centric decision support model under uncertaintyen
dc.typearticle
dc.rights.licenseARR
dc.citation.other188: -
dc.citation.rankaM21~
dc.citation.volume188
dc.identifier.doi10.1016/j.techfore.2022.122282
dc.identifier.rcubconv_2834
dc.identifier.scopus2-s2.0-85146280312
dc.identifier.wos000922749100001
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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