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Titlebook: Intelligent Systems in Digital Transformation; Theory and Applicati Cengiz Kahraman,Elif Haktanır Book 2023 The Editor(s) (if applicable) a

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Ari Pikkarainen,Maarit Tihinenadsheets..The book examines sorption/desorption rates of organic compounds invarious soils and aquifer materials, and also examines the dissolutionkinetics of nonaqueous phase liquids in aquifers, in both the trappedresidual phase and in pools. ..Diffusion in Natural Porous Media: Contaminant Transp
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Intelligent Digital Transformation Strategy Management: Development of a Measurement Frameworkrresponding sub-dimensions, and metrics to guide the organizations toward intelligent DX strategy management. The main contributions of the study are as follows: establishing a common base for performing an assessment for intelligent DX strategy management, benchmarking their capabilities with other
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Education as a Promoter of Digital Transformation in the Manufacturing Industryemes. This chapter therefore concentrates on educational solutions to promote digital transformation in the manufacturing industry. Digital and additive manufacturing (AM) specifically are used as examples to educate new experts on the requirements of digital transformation in technology.
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Book 2023ced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation..
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Digital Transformation and Prosumers Activities in the Energy Sectornt. Technological innovations such as remote meters, devices for remote control and monitoring, and digital twins, used in the energy sector allow for increasing the efficiency of the sector and its faster development towards zero emissions.
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Digital Transformation Success Factors Evaluation in Energy Industry are determined based on their experiences, positions in the firm, knowledge about digital transformation and its applications in the energy industry and their academic backgrounds. Fuzzy cognitive map (FCM) approach is employed to analyze the obtained digital transformation success factors with the assumption of relationship between criteria.
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