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Enhancing innovation via the digital twin
Fukawa, Nobuyuki; Rindfleisch, Aric - In: The journal of product innovation management : an … 40 (2023) 4, pp. 391-406
Persistent link: https://www.econbiz.de/10014338510
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Interaction of the social media and big data in reaching marketing success in the era of the fourth industrial revolution
Pranjić, Goran; Rekettye, Gabor - In: International journal of business performance management 20 (2019) 3, pp. 247-260
Persistent link: https://www.econbiz.de/10012144435
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Big Data Analytics : Grundlagen, Fallbeispiele und Nutzungspotenziale
D'Onofrio, Sara (ed.); Meier, Andreas (ed.) - 2021
Persistent link: https://www.econbiz.de/10012518540
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Guidelines for assessing the value of a predictive algorithm : a case study
Ylijoki, Ossi - In: Journal of marketing analytics : JMA 6 (2018) 1, pp. 19-26
Persistent link: https://www.econbiz.de/10011888521
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The handbook of data science and AI : generate value from data with machine learning and data analytics
Papp, Stefan; Weidinger, Wolfgang; Munro, Katherine; … - 2022
Persistent link: https://www.econbiz.de/10012705148
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Artificial intelligence : a survey on evolution, models, applications and future trends
Lu, Yang - In: Journal of management analytics 6 (2019) 1, pp. 1-29
Persistent link: https://www.econbiz.de/10012171412
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Artificial intelligence in internal audit and risk assessment
Kahyaoglu, Sezer Bozkuş; Aksoy, Tamer - In: Financial ecosystem and strategy in the digital era : …, (pp. 179-192). 2021
Persistent link: https://www.econbiz.de/10012615068
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Data intelligence and analytics : a bibliometric analysis of human-Artificial intelligence in public sector decision-making effectiveness
Di Vaio, Assunta; Hassan, Rohail; Alavoine, Claude - In: Technological forecasting & social change : an … 174 (2022), pp. 1-17
Persistent link: https://www.econbiz.de/10013209472
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Product lifecycle optimization by application of process mining
Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020
Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...
Persistent link: https://www.econbiz.de/10012388084
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From technological development to social advance : a review of Industry 4.0 through machine learning
Lee, Changhun; Lim, Chiehyeon - In: Technological forecasting & social change : an … 167 (2021), pp. 1-12
Persistent link: https://www.econbiz.de/10012798545