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Feeling the love? : how consumer's political ideology shapes responses to AI financial service delivery
Riedel, Aimee; Mulcahy, Rory; Northey, Gavin - In: International journal of bank marketing 40 (2022) 6, pp. 1102-1132
Persistent link: https://www.econbiz.de/10013397772
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Made in California : zur politischen Ideologie des Silicon Valley
Di Fabio, Udo (ed.); Dörr, Julian (ed.); Kowalski, Olaf (ed.) - 2022
Persistent link: https://www.econbiz.de/10012667597
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From Invisible Algorithms to Interactive Affordances : Data after the Ideology of Machine Learning
Hogan, Bernie - 2014
, information providers use the logic of machine learning to train the system. This ideology encourages less from users and more …
Persistent link: https://www.econbiz.de/10013051663
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Predicting voter ideology using machine learning
Mellacher, Patrick; Lechner, Gernot - 2023
Persistent link: https://www.econbiz.de/10013484723
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AI automation and retailer regret in supply chains
Li, Meng; Li, Tao - In: Production and operations management : the flagship … 31 (2022) 1, pp. 83-97
Persistent link: https://www.econbiz.de/10013163762
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Do you mind if I ask you a personal question? : how AI service agents alter consumer self-disclosure
Kim, Tae Woo; Jiang, Li; Duhachek, Adam; Lee, Hyejin; … - In: Journal of service research 25 (2022) 4, pp. 649-666
Persistent link: https://www.econbiz.de/10013396030
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All creatures great and small : a review and typology of employee-animal interactions
Quan, Shawn Xiaoshi; Lam, Carisa; Schabram, Kira; Yam, … - In: Journal of management 50 (2024) 1, pp. 380-411
Persistent link: https://www.econbiz.de/10014578358
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Human centric intellectual property rights and legal personality of artificial intelligence
Suganya, S.; Prema, E. - In: International journal of intellectual property … 13 (2023) 3/4, pp. 252-267
Persistent link: https://www.econbiz.de/10014442728
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Unveiling the secrets of freelancing success : comparative study of Egypt and India
Dawoud, Ahmed - 2024
Persistent link: https://www.econbiz.de/10014506644
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Avoiding an oppressive future of machine learning : a design theory for emancipatory assistants
Kane, Gerald C.; Young, Amber G.; Majchrak, Ann; … - In: MIS quarterly 45 (2021) 1, pp. 371-396
Persistent link: https://www.econbiz.de/10012814902