Country selection for energy company’s new branch using fuzzy topsis

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dc.authorid0000-0003-1411-0369
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorChlyeh, Douina
dc.contributor.authorElaiche, Aicha
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2019-11-28T06:42:03Z
dc.date.available2019-11-28T06:42:03Z
dc.date.issued2019
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.departmentİHÜ, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
dc.description.abstractSolar energy is regarded as one of the most important and promising technologies in the field of renewable energies. Turkey has been one of the first countries to adopt solar energy and harness it in the last two decades. Many Turkish companies especially holdings started to invest in North Africa, either by expanding their operations there or through opening new branches and making alliances with the other countries concerned. This paper aims to identify the best North African country for a specific Turkish company to open a solar energy branch. The process involved Fuzzy Topsis multi-criteria decision making where criteria for selection of one of the countries has been collected from experts, and three decision makers have been chosen to rate the criteria in terms of each alternative countries. Fuzzy topsis analysis was chosen because of the level of the uncertainty in this case study. Regardless of the data available concerning each criterion for all the alternative countries, there is still a certain level of ambiguity to overcome. The results of this study suggested that Algeria would be the best choice for this Turkish company to open up a new branch. The second best fitting country would be Egypt followed by Libya. While Morocco and Tunisia had the lowest ranking.
dc.identifier.citationChlyeh, D., Elaiche, A., Kuşakcı, A. O. (2019). Country selection for energy company’s new branch using fuzzy topsis. M. Çemberci (Ed.) International Social Innovation Congress Proceedings (Abstract) içinde (57 ss.), İstanbul, Yıldız Teknik Üniversitesi.
dc.identifier.endpage57
dc.identifier.isbn9.78606E+12
dc.identifier.startpage57
dc.identifier.urihttps://hdl.handle.net/20.500.12154/987
dc.institutionauthorChlyeh, Douina
dc.institutionauthorElaiche, Aicha
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherYıldız Teknik Üniversitesi
dc.relation.ihupublicationcategory197
dc.relation.ispartofInternational Social Innovation Congress, 16-17 October 2019
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSolar Energy
dc.subjectFuzzy Topsis
dc.subjectUncertainty
dc.titleCountry selection for energy company’s new branch using fuzzy topsis
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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