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dc.contributor.authorMutanov, Galimkair
dc.contributor.authorOmirbekova, Zhanar
dc.contributor.authorShaikh, Aijaz A.
dc.contributor.authorIssayeva, Zhansaya
dc.date.accessioned2024-01-02T08:00:10Z
dc.date.available2024-01-02T08:00:10Z
dc.date.issued2024
dc.identifier.citationMutanov, G., Omirbekova, Z., Shaikh, A. A., & Issayeva, Z. (2024). Sustainability-Driven Green Innovation : Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System. <i>Sustainability</i>, <i>16</i>(1), Article 41. <a href="https://doi.org/10.3390/su16010041" target="_blank">https://doi.org/10.3390/su16010041</a>
dc.identifier.otherCONVID_197402076
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/92516
dc.description.abstractGreen innovation refers to developing and implementing new technologies, practices, products, and processes that promote sustainability and reduce environmental impacts. This article postulates the conceptualisation and implementation of an intelligent decision support system (IDSS) tailored to the aerospace technology sector. The data were collected from open sources such as social media and analyzed using the natural language processing tool. The envisaged IDSS is a comprehensive and seamlessly integrated platform designed to undergird decision-making, problem-solving, and research initiatives within the aerospace industry. Catering to the sector’s engineers, technicians, and managerial cadres, it aims to unravel complex datasets, proffer incisive analyses, and furnish prudent advice and recommendations. Its multifaceted capabilities range from data search and optimisation to modelling and forecasting. With an emphasis on harmonious integration with extant aerospace systems, it strives to provide engineers and technicians with enriched data insights. Moreover, its design ethos is centred on user-friendliness, underscored by an intuitive graphical interface that expedites seamless access and utilisation. Ultimately, the envisioned IDSS will augment the aerospace industry’s analytical prowess and will serve as a potent instrument for effective decision-making.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesSustainability
dc.rightsCC BY 4.0
dc.subject.othersustainable green innovations
dc.subject.otheraerospace
dc.subject.otherintelligent decision support system
dc.titleSustainability-Driven Green Innovation : Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202401021020
dc.contributor.laitosKauppakorkeakoulufi
dc.contributor.laitosSchool of Business and Economicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2071-1050
dc.relation.numberinseries1
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright© 2023 by the authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysoinnovaatiot
dc.subject.ysokestävä kehitys
dc.subject.ysoympäristövaikutukset
dc.subject.ysoavaruustekniikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7903
jyx.subject.urihttp://www.yso.fi/onto/yso/p8470
jyx.subject.urihttp://www.yso.fi/onto/yso/p9862
jyx.subject.urihttp://www.yso.fi/onto/yso/p17376
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/su16010041
jyx.fundinginformationThis research was funded by the Aerospace Committee of the Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan, grant number: BR11265420.
dc.type.okmA1


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