Sustainability-Driven Green Innovation: Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System

Mutanov G. Omirbekova Z. Shaikh A.A. Issayeva Z.
January 2024 Multidisciplinary Digital Publishing Institute (MDPI)

Sustainability (Switzerland)
2024 #16 Issue 1

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.

aerospace , intelligent decision support system , sustainable green innovations

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Institute of Information and Computational Technologies, P.O. Box 050010, Almaty, Kazakhstan
Department of Computer Science, Al-Farabi Kazakh National University, P.O. Box 050040, Almaty, Kazakhstan
Department of Marketing, Jyväskylä University School of Business and Economics, University of Jyväskylä, P.O. Box 35, Jyväskylä, FI-40014, Finland
Faculty of Oriental Studies, Al-Farabi Kazakh National University, P.O. Box 050040, Almaty, Kazakhstan

Institute of Information and Computational Technologies
Department of Computer Science
Department of Marketing
Faculty of Oriental Studies

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