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dc.contributor.advisorEkici, Ahmet
dc.contributor.authorÖzgen Genç, Tuğçe
dc.date.accessioned2021-08-18T10:32:38Z
dc.date.available2021-08-18T10:32:38Z
dc.date.copyright2021-08
dc.date.issued2021-08
dc.date.submitted2021-08-10
dc.identifier.urihttp://hdl.handle.net/11693/76456
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, The Department of Business Administration, İhsan Doğramacı Bilkent University, 2021.en_US
dc.descriptionIncludes bibliographical references (leaves 108-119).en_US
dc.description.abstractSince reducing household food waste (HFW) has serious environmental, social, and economic implications, researchers across disciplines have investigated this phenomenon from multiple angles and identified a substantial number of drivers that account for HFW. Despite these efforts, empirical investigation of the complex web of HFW drivers is still in its infancy. The methodologies that have been used to investigate the phenomenon have been generally insufficient in capturing the complexity surrounding consumers’ food waste behavior. Therefore, the main objective of this thesis is to provide a more complete representation of this complexity. To this end, a distinctive method, fuzzy cognitive mapping (FCM) was used to demonstrate the system of HFW drivers. Through an iterative process between the content analysis of previous studies and expert opinion, the most prevalent HFW drivers as system concepts and their causal relationships were synthesized and consolidated in the first stage. Then in the second stage, this well-refined framework was transformed into an FCM that provides a consistent base to conduct simulations and to compare the HFW-reducing intervention alternatives. In the third stage, the most influential drivers were revealed, and the ambiguities due to conflicting findings reported in the literature were resolved. Then, through scenario analysis, intervention alternatives were compared based on their impact on HFW. In the final section, findings of each stage were integrated and discussed with their theoretical, methodological, and practical implications.en_US
dc.description.statementofresponsibilityby Tuğçe Özgen Gençen_US
dc.format.extentxii, 137 leaves : illustrations ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHousehold food wasteen_US
dc.subjectSocial practice theoryen_US
dc.subjectFuzzy cognitive mapsen_US
dc.subjectComplexityen_US
dc.subjectScenario analysisen_US
dc.titleUntangling the complex nature of household food waste drivers through fuzzy cognitive mappingen_US
dc.title.alternativeHaneiçi gıda israfını etkileyen faktörlerin karmaşık yapısının bulanık bilişsel haritalama yoluyla ele alınmasıen_US
dc.typeThesisen_US
dc.departmentBusiness Information Managementen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB149751
dc.embargo.release2022-04-10


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