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Titlebook: Digital Transformation: What is the Company of Today?; Andrea Bencsik,Anastasia Kulachinskaya Book 2023 The Editor(s) (if applicable) and

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楼主: HEM
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Intellectual Resources of Energy Sector Management in the Frames of Digital Economy,tifying the appropriate sources of knowledge (key experts) and intelligent managemental tools. The use of the resulting model by energy companies in the process of human resource management will enable the more efficient implementation and carrying out innovation projects, as well as holding a perso
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https://doi.org/10.1007/978-3-031-48421-6ines such paradigms of simulation modeling as system dynamics and agent modeling. Agent modeling tools are used to describe the dynamics of networks of industrial companies formed from independent agents–companies. System dynamics is used to describe the dynamics of knowledge flows and their economi
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Lecture Notes in Computer Sciencefined for each block for comparative analysis. Authors make a conclusion, that majority of the biggest traditional media companies in Russia do not have developed digital ecosystem and focus on the development of the main business.
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Lecture Notes in Computer Scienceigence system Model DL “Random Forest” to predict the company‘s net profit in the process of supporting management decision-making related to the selection of reliable contractors by the HAM method and evaluating the effectiveness of this choice. A hypothesis has been put forward and proved that usi
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Stefan Kapferer,Olaf Zimmermannrisk, legal and legislative risk, and risk of loss of process control. Based on the identified constraints and risks, a matrix of risks of the implementation of digitalization in the business processes of companies was made. This matrix is allow to build the architecture of digital transformation of
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Mike Prechtl,Robin Lichtenthäler,Guido Wirtzigitalization technologies are determined. Along with this, classifiers of operating parameters have been developed, which, in combination with the conditions for the functioning of the DIS, provide a full-fledged application of trend and factor approaches to predicting heat supply to consumers. In
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