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|a Big Data and Artificial Intelligence for Decision-Making in the Smart Economy
|h [electronic resource] /
|c edited by Aziza B. Karbekova, Ladislav Žák, Ivan Milenković.
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|a 1st ed. 2025.
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|a Cham :
|b Springer Nature Switzerland :
|b Imprint: Springer,
|c 2025.
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|a XIV, 466 p. 52 illus.
|b online resource.
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|a Studies in Big Data,
|x 2197-6511 ;
|v 168
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|a Intelligent Support for Personnel Decision Making and Socially Responsible HRM Using Big Data and AI -- Algorithm for Managerial Decision making Using Big Data and AI -- Big Data and AI as Human Machine Interaction Technologies in Managerial Decision Making within Digital Business -- The Mechanism of Automatization of Smart Business through Decision making and Management of Production Based on Big Data and AI -- Methodological Approach to Analyzing the Effectiveness of Intelligent Decision Support Using Big Data and AI.
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|a This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the “black box” of decision-making automation in the smart economy through these technologies. The book clarifies the role and significance of big data and AI in decision-making within the smart economy, highlighting its fundamental importance. Additionally, the book thoroughly discusses international experiences in decision-making automation in the smart economy, with examples from Armenia, Kyrgyzstan, and other Central Asian countries, demonstrating its empirical value. The book reveals advanced organizational-economic models for decision-making based on big data and AI. It also presents the latest trends in the development of the smart economy using big data and AI. Moreover, the book explains the socio-ecological and legal aspects of the ethics in applying big data and AI technologies. Additionally, the book proposes prospective applied solutions for decision-making in the smart economy based on big data and AI. The target audience of the book includes scientists studying big data and AI.
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|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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|a No reading system accessibility options actively disabled
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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|a Computational intelligence.
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|a Big data.
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|a Artificial intelligence.
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|a Engineering
|x Data processing.
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|a Computational Intelligence.
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|a Big Data.
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|a Artificial Intelligence.
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|a Data Engineering.
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|a Karbekova, Aziza B.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Žák, Ladislav.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Milenković, Ivan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783031786853
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|i Printed edition:
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|i Printed edition:
|z 9783031786884
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| 830 |
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|a Studies in Big Data,
|x 2197-6511 ;
|v 168
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4 |
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|u https://doi.org/10.1007/978-3-031-78686-0
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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