Human-Artificial intelligence collaboration in prediction : a field experiment in the retail industry
Year of publication: |
2023
|
---|---|
Authors: | Revilla, Elena ; Sáenz, María Jesús ; Seifert, Matthias ; Ma, Ye |
Published in: |
Journal of management information systems : JMIS. - Abingdon, Oxon : Routledge, Taylor & Francis, ISSN 1557-928X, ZDB-ID 2033010-8. - Vol. 40.2023, 4, p. 1071-1098
|
Subject: | AIML | algorithmic prediction | demand forecasting | Human-AI collaboration | machine learning | time horizon | uncertainty | Einzelhandel | Retail trade | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Feldforschung | Field research | Experiment |
-
Analytics for an online retailer : demand forecasting and price optimization
Ferreira, Kris Johnson, (2016)
-
Mitra, Arnab, (2022)
-
A machine learning framework for predicting weather impact on retail sales
Chan, H., (2024)
- More ...
-
Supply chain disruption management: Global convergence vs national specificity
Revilla, Elena, (2014)
-
Creating more resilient supply chains
Sáenz, María Jesús, (2014)
-
Absorptive capacity in buyer-supplier relationships : empirical evidence of its mediating role
Sáenz, María Jesús, (2014)
- More ...