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dc.contributor.authorTamošiūnas, Andrius
dc.date.accessioned2023-09-18T16:34:29Z
dc.date.available2023-09-18T16:34:29Z
dc.date.issued2023
dc.identifier.other(crossref_id)146291255
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/115113
dc.description.abstractThe paper examines the challenges related to solar photovoltaic (PV) development with a pivotal focus on the impacts of the dynamics of the relevant markets and technological advancements in the solar industry. In this regard, household investments into rooftop solar PV modules as one of the available incentives are investigated based on a conducted experiment in Lithuania for selecting rooftop solar PV systems for the prosumer by measuring the attractiveness of solar PV modules by a categorical-based evaluation technique (MACBETH). While a variety of multiple-criteria decision-making (MCDM) methods used by scholars have their specifics in terms of application and the divergence of results, the findings of the conducted experiment reveal MACBETH’s utility when based upon qualitative judgments about the differences in the attractiveness of offers, quantifying their relative value and accordingly ranking the latter. The findings also confirm MACBETH’s potential to be used not only to solve operational and tactical tasks but also for strategic objectives of private and public organizations aiming at competitive and sustainable development in short- and long-term contexts.eng
dc.formatPDF
dc.format.extentp. 1-22
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.mdpi.com/1996-1073/16/7/2999
dc.titleSelecting rooftop solar photovoltaic modules by measuring their attractiveness by a categorical-based evaluation technique (MACBETH): The case of Lithuania
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references67
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionL01 - Verslas / Business studies
dc.subject.studydirectionL02 - Vadyba / Management studies
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensolar photovoltaic module
dc.subject.enmultiple-criteria decision-making
dc.subject.enrenewable energy
dc.subject.enMACBETH
dc.subject.enmanagement
dcterms.sourcetitleEnergies
dc.description.issueiss. 7
dc.description.volumevol. 16
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi146291255
dc.identifier.doi000969751300001
dc.identifier.doi10.3390/en16072999
dc.identifier.elaba160165048


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