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When algorithmic predictions use human-generated data : a bias-aware classification algorithm for breast cancer diagnosis

Ahsen, Mehmet Eren; Ayvaci, Mehmet Ulvi Saygi; … - In: Information systems research : ISR 30 (2019) 1, pp. 97-116

Persistent link: https://www.econbiz.de/10012038210

Collusion by algorithm : does better demand prediction facilitate coordination between sellers?

Miklós-Thal, Jeanine; Tucker, Catherine - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1552-1561

Persistent link: https://www.econbiz.de/10012022643

Algorithm appreciation : people prefer algorithmic to human judgment

Logg, Jennifer M.; Minson, Julia A.; Moore, Don A. - In: Organizational behavior and human decision processes : … 151 (2019), pp. 90-103

Persistent link: https://www.econbiz.de/10012003042

Algorithmic risk assessment in the hands of humans

Stevenson, Megan T.; Doleac, Jennifer L. - 2019

defendants under the age of 23. In the context of contentious public discussions about algorithms, our results highlight the …

Persistent link: https://www.econbiz.de/10012149079

An algorithm for designing value propositions in the iot space : addressing the challenges of selecting the initial class in reference class forecasting

Garbuio, Massimo; Gheno, Gloria - In: IEEE transactions on engineering management : EM 70 (2023) 9, pp. 3171-3182

Persistent link: https://www.econbiz.de/10014364877

A longitudinal approach for understanding algorithm use

Chacon, Alvaro; Kausel, Edgar E.; Reyes, Tomas - In: Journal of behavioral decision making 35 (2022) 4, pp. 1-15

Persistent link: https://www.econbiz.de/10013464444

Predicting the future with humans and AI

Mellers, Barbara A.; Lu, Louise; McCoy, John - In: Consumer psychology review 6 (2023) 1, pp. 109-120

Persistent link: https://www.econbiz.de/10014240017

Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications

Abedin, Mohammad Zoynul (ed.); Hájek, Petr (ed.) - 2023

Improvement of the Performance of Classification Algorithms in the Case of Financial Data -- 6. Default Risk Prediction Based on …

Persistent link: https://www.econbiz.de/10014226726

Beware the performance of an algorithm before relying on it : evidence from a stock price forecasting experiment

Tse, Tiffany Tsz Kwan; Hanaki, Nobuyuki; Mao, Bolin - 2022

We experimentally investigated the relationship between participants' reliance on algorithms, their familiarity with … degree of reliance on high and low performing algorithms did not significantly differ for participants with little experience … results suggest that, at least in some domains, excessive reliance on algorithms, rather than algorithm aversion, should be a …

Persistent link: https://www.econbiz.de/10013419049

Artificial intelligence and consumer behavior : from predictive to generative AI

Hermann, Erik; Puntoni, Stefano - In: Journal of business research : JBR 180 (2024), pp. 1-11

Persistent link: https://www.econbiz.de/10014556470