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Artificial intelligence as an enabler for entrepreneurs : a systematic literature review and an agenda for future research
Giuggioli, Guglielmo; Pellegrini, Massimiliano M. - In: International journal of entrepreneurial behavior & research 29 (2023) 4, pp. 816-837
Persistent link: https://www.econbiz.de/10014286602
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Implementing and scaling artificial intelligence : a review, framework, and research agenda
Haefner, Naomi; Parida, Vinit; Gassmann, Oliver; … - In: Technological forecasting & social change : an … 197 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014468872
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Exploring detection and prevention of money laundering with information technology
Aprilia, Geo Finna; Meiryani - In: Journal of Money Laundering Control 27 (2023) 6, pp. 995-1004
parties involved, this paper aims to explore the methods used in detecting money laundering, especially the use of technology …
Persistent link: https://www.econbiz.de/10015351746
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COVID-19 and global supply chain risks mitigation : systematic review using a scientometric technique
Fernando, Yudi; Mohammed Hammam Mohammed Al-Madani; … - In: Journal of science and technology policy management : JSTPM 15 (2024) 6, pp. 1665-1690
Persistent link: https://www.econbiz.de/10015202524
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The Relational Governance of Artificial Intelligence : Forms and Interactions
Wiesmüller, Sabine - 2023
Chapter 1. Introduction and Theoretical Foundation -- Chapter 2. A Theoretical Approximation to Artificial Intelligence as an Autopoietic System -- Chapter 3. Conceptualisation of the Relational Governance of Artificial Intelligence -- Chapter 4: Contextualisation of Relational AI Governance in...
Persistent link: https://www.econbiz.de/10013533957
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A systematic review of Explainable Artificial Intelligence models and applications : recent developments and future trends
Saranya, A.; Subhashini, R. - In: Decision analytics journal 7 (2023), pp. 1-14
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and solve common real-world problems. Machine learning and deep learning are Artificial intelligence technologies that use algorithms to predict outcomes more accurately without relying on human intervention....
Persistent link: https://www.econbiz.de/10014436688
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Legal implications of automated suspicious transaction monitoring : enhancing integrity of AI
Türkşen, Umut; Benson, Vladlena; Adamyk, Bogdan - In: Journal of banking regulation 25 (2024) 4, pp. 359-377
Persistent link: https://www.econbiz.de/10015192413
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Machine learning approaches to understand IT outsourcing portfolios
Lu, Yingda; Susarla, Anjana; Ravindran, Kiron; Mani, Deepa - In: Electronic commerce research 24 (2024) 4, pp. 2547-2577
Persistent link: https://www.econbiz.de/10015196518
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A comparative study of time series, machine learning, and deep learning models for forecasting global price of wheat
Yadav, Abhishek - In: Operations research forum 5 (2024) 4, pp. 1-24
Persistent link: https://www.econbiz.de/10015182084
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Mapping the role and impact of Artificial Intelligence and machine learning applications in supply chain digital transformation : a bibliometric analysis
Rana, Jeetu; Daultani, Yash - In: Operations management research : OMR ; advancing … 16 (2023) 4, pp. 1641-1666
Persistent link: https://www.econbiz.de/10015182183