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Min-max regret version of a scheduling problem with outsourcing decisions under processing time uncertainty

Choi, Byung-Cheon; Chung, Kwanghun - In: European journal of operational research : EJOR 252 (2016) 2, pp. 367-375

Persistent link: https://www.econbiz.de/10011457652

Has dynamic programming improved decision making?

Rust, John - In: Annual review of economics 11 (2019), pp. 833-858

Persistent link: https://www.econbiz.de/10012623842

Bayesian decision making in groups is hard

Hązła, Jan; Jadbabaie, Ali; Mossel, Elchanan; … - In: Operations research 69 (2021) 2, pp. 632-654

Persistent link: https://www.econbiz.de/10012533561

Algorithm-augmented work and domain experience : the countervailing forces of ability and aversion

Allen, Ryan; Choudhury, Prithwiraj - In: Organization science 33 (2022) 1, pp. 149-169

Persistent link: https://www.econbiz.de/10012820467

Algorithm-augmented work performance and domain experience : the countervailing forces of ability and aversion

Allen, Ryan; Choudhury, Prithwiraj - 2020

Persistent link: https://www.econbiz.de/10012511858

Algorithms for operational decision-making : an absorptive capacity perspective on the process of converting data into relevant knowledge

Neirotti, Paolo; Pesce, Danilo; Battaglia, Daniele - In: Technological forecasting & social change : an … 173 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10013202586

Simplification of administrative procedures through fully automated decision-making : the case of Norway

Weitzenboeck, Emily M. - In: Administrative Sciences : open access journal 11 (2021) 4, pp. 1-23

Norway has a high degree of digitalisation. In the public sector, there is a long tradition of automation of parts of case management. This includes automation of cases where a public sector body makes a so-called individual administrative decision, that is, a decision made in the exercise of...

Persistent link: https://www.econbiz.de/10012795657

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

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

Remedies against bias in analytics systems

Edwards, John Steven; Rodriguez, Eduardo - In: Journal of business analytics 2 (2019) 1, pp. 74-87

Persistent link: https://www.econbiz.de/10012170266