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Soul and machine (learning)
Proserpio, Davide; Hauser, John R.; Liu, Xiao; Amano, … - 2019
learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data …,” and are a natural fit to analyze rich media content, such as text, images, audio, and video. Examples of current marketing …
Persistent link: https://www.econbiz.de/10012174368
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Getting along with frenemies : enhancing multi-competitor coopetition governance through artificial intelligence and blockchain
Woolley, Jennifer L. - In: Industry and innovation 30 (2023) 9, pp. 1156-1189
Persistent link: https://www.econbiz.de/10014390636
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Consumer preference elicitation of complex products using fuzzy support vector machine active learning
Huang, Dongling; Luo, Lan - In: Marketing science : the marketing journal of the … 35 (2016) 3, pp. 445-464
Persistent link: https://www.econbiz.de/10011498939
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The impact of new relationship learning on artificial intelligence technology innovation
Xue, Ying; Fang, Chao; Dong, Ying - In: International Journal of Innovation Studies 5 (2021) 1, pp. 2-8
Economic globalization makes the competition among organizations increasingly fierce, and the "dependence relationship" among organizations is of particular importance. It is found that the influence of relationship learning (based on organizational relationships) on the technological innovation...
Persistent link: https://www.econbiz.de/10013166946
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Smart technologies
Hildebrandt, Mireille - In: Internet policy review : journal on internet regulation 9 (2020) 4, pp. 1-16
Speaking of "smart" technologies we may avoid the mysticism of terms like "artificial intelligence" (AI). To situate "smartness" I nevertheless explore the origins of smart technologies in the research domains of AI and cybernetics. Based in postphenomenological philosophy of technology and...
Persistent link: https://www.econbiz.de/10012499672
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Machine learning for enterprises : applications, algorithm selection, and challenges
Lee, In; Shin, Yong Jae - In: Business horizons 63 (2020) 2, pp. 157-170
Persistent link: https://www.econbiz.de/10012172017
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From the machine learning region to the deep learning region : Tesla, DarkTrace and DeepMind as internationalized local to global cluster firms
Cooke, Philip - In: The globalization of regional clusters : between …, (pp. 33-57). 2021
Persistent link: https://www.econbiz.de/10013369507
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Public subsidies and innovation : a doubly robust machine learning approach leveraging deep neural networks
Varaku, Kerda; Sickles, Robin C. - In: Empirical economics : a quarterly journal of the … 64 (2023) 6, pp. 3121-3165
Persistent link: https://www.econbiz.de/10014329026
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A trust paradox may limit the application of al-generated knowledge
Nylund, Petra A.; Ferràs-Hernández, Xavier; Brem, … - In: Research-technology management : RTM 66 (2023) 5, pp. 44-52
Persistent link: https://www.econbiz.de/10014388439
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Forecasting new product demand using domain knowledge and machine learning
Yamamura, Charles; Santana, José Carlos Curvelo; … - In: Research-technology management : RTM 65 (2022) 4, pp. 27-36
Persistent link: https://www.econbiz.de/10013357433