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This work dissects the application of big data and artificial intelligence (AI) technology in environmental protection monitoring. The application principle of big data in environmental data collection is analysed based on atmospheric science and AI technology. In addition, a combined model of...
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Due to the volatility of the markets and the ongoing crises (COVID-19, the Ukrainian war, etc.), investors are keen to exploit any potential chances to make profits. For this reason, the idea of harvesting data from cryptocurrency market users takes an innovative step. Potential investors in...
Persistent link: https://www.econbiz.de/10014419540
Purpose: Design an industrial production model with a focus on industry 4.0 (Big Data) and decision-making analysis for small and medium-sized enterprises (SMEs) in the clothing sector that allows improving procedures, jobs and related costs within the study organization Develop a sustainable...
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Textual data and analysis can derive new insights and bring valuable business insights. These insights can be further leveraged by making better future business decisions. Sources that are used for text analysis in financial industry vary from internal word documents, email to external sources...
Persistent link: https://www.econbiz.de/10012859093
The financial technology revolution is a reality, as the financial world is gradually transforming into a digital domain of high-volume information and high-speed data transformation and processing. The more this transformation takes place, the more consumer and investor behaviour shifts towards...
Persistent link: https://www.econbiz.de/10012826995
Service innovation is intertwined with service design, and knowledge from both fields should be integrated to advance theoretical and normative insights. However, studies bridging service innovation and service design are in their infancy. This is because the body of service innovation and...
Persistent link: https://www.econbiz.de/10012828479
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This Conceptual Framework is underpinned on both Delone & McLean (1992, 2003) IS Success Models. It is hypothesized that Big Data Veracity, Big Data Analytics Quality, and Big Data Services Quality can positively improves Big Data User's Decision Making Effectiveness, Problem Solving Confidence...
Persistent link: https://www.econbiz.de/10013031419