Titlebook: Big Data and Blockchain for Service Operations Management; Ali Emrouznejad,Vincent Charles Book 2022 Springer Nature Switzerland AG 2022 A

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Introduction to Dependent Types with Idrisn blockchain, popularly known as big data. This chapter contributes by highlighting the role of contemporary Industry 4.0 technologies in creating big data. The chapter features the managerial and policy implications of big data from service operations management perspective.

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Modeling Big Data Enablers for Service Operations Management,d variety were commonly identified as the most dependent big data enablers for SOM across two different modeling techniques. The findings allow decision makers to select the desired and drop undesired enablers in the implementation of big data initiatives to improve SOM performance. MCDM-based hiera

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Novel Big Data Approach for Text Supported Service Operations Management,anguage style. To gain valuable information from this data, it is necessary to know each particular language (not necessarily human, but also machine generated) and grammar. This chapter presents the latest advances in artificial intelligence for the text data analysis and operations management. Fir

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Blockchain for Disaster Management,er disasters. As disaster management operations unfold, massive amounts of data are produced as a result of the service transactions and aid efforts that take place to help support and restore society. The adoption of a blockchain approach in disaster management can reduce corruption, facilitate and

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Blockchain Production Planning in Mass Personalized Environments,e individual requests incorporated in physical objects. This system, which draws on the capacities of cyber-physical systems (CPS), will be able to generate individual prototypes based on the specification of customers and, if it responds to their demands, plan the operations for its fabrication. Th

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