Algorithm-augmented work and domain experience : the countervailing forces of ability and aversion
Year of publication: |
2022
|
---|---|
Authors: | Allen, Ryan ; Choudhury, Prithwiraj |
Published in: |
Organization science. - Linthicum, Md. : INFORMS, ISSN 1526-5455, ZDB-ID 2024496-4. - Vol. 33.2022, 1, p. 149-169
|
Subject: | algorithmic aversion | algorithms | automation | decision making | domain experience | experts | future of work | machine learning | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Experiment | Automatisierung | Automation | Experten | Experts | Entscheidung | Decision | Risikoaversion | Risk aversion | Computerunterstützung | Computerized method |
Description of contents: | Description [pubsonline.informs.org] |
-
Allen, Ryan, (2020)
-
Automation, robots, and algorithms will drive the next stage of digital disruption
Pankewitz, Chad, (2017)
-
Understanding algorithm aversion : when is advice from automation discounted?
Prahl, Andrew, (2017)
- More ...
-
Machine learning for pattern discovery in management research
Choudhury, Prithwiraj, (2020)
-
Choudhury, Prithwiraj, (2019)
-
Allen, Ryan, (2020)
- More ...