dc.contributor.author | Mutanov, Galimkair | |
dc.contributor.author | Omirbekova, Zhanar | |
dc.contributor.author | Shaikh, Aijaz A. | |
dc.contributor.author | Issayeva, Zhansaya | |
dc.date.accessioned | 2024-01-02T08:00:10Z | |
dc.date.available | 2024-01-02T08:00:10Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Mutanov, 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.other | CONVID_197402076 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/92516 | |
dc.description.abstract | Green 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.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | MDPI | |
dc.relation.ispartofseries | Sustainability | |
dc.rights | CC BY 4.0 | |
dc.subject.other | sustainable green innovations | |
dc.subject.other | aerospace | |
dc.subject.other | intelligent decision support system | |
dc.title | Sustainability-Driven Green Innovation : Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System | |
dc.type | research article | |
dc.identifier.urn | URN:NBN:fi:jyu-202401021020 | |
dc.contributor.laitos | Kauppakorkeakoulu | fi |
dc.contributor.laitos | School of Business and Economics | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.relation.issn | 2071-1050 | |
dc.relation.numberinseries | 1 | |
dc.relation.volume | 16 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2023 by the authors | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | article | |
dc.subject.yso | innovaatiot | |
dc.subject.yso | kestävä kehitys | |
dc.subject.yso | ympäristövaikutukset | |
dc.subject.yso | avaruustekniikka | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p7903 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p8470 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p9862 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p17376 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.3390/su16010041 | |
jyx.fundinginformation | This 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.okm | A1 | |