Daniel Kiefer

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Demand Forecasting

Autoregressive Conditional Heteroscedasticity

Digital Technologies

Top Venues

Wirtschaftsinformatik

INFORMS J. Appl. Anal.

Publications

Nitish Umang, Daniel Kiefer, Patricio Gonzalez, Henri Thevenot, Christopher D. Johnson, Jean Martin, Emily Stephenson, Jerrold Cline, Banu Gemici-Ozkan, Israel Beniaminy
Practice Summary: GE Optimizes for Aircraft Engine Overhaul Scheduling and Shop Assignment. INFORMS J. Appl. Anal. 53 (2) (2023)
Daniel Kiefer, Clemens van Dinther, Tim Straub
The Time has Come - Application of Artificial Intelligence in Small- and Medium-Sized Enterprises. Wirtschaftsinformatik (2022)
Daniel Kiefer, Florian Grimm, Clemens van Dinther
Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning. HICSS (2022)
Gerald Blessing, Daniel Kiefer
Digital Skills of Procurement Employees and Their Attitudes Toward Digital Technologies. KES-HCIS (2021)
Daniel Kiefer, Markus Bauer, Florian Grimm
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics. KES-HCIS (2021)
Daniel Kiefer, Clemens van Dinther, Julian Spitzmüller
Digital Innovation Culture: A Systematic Literature Review. Wirtschaftsinformatik (2021)
Florian Grimm, Daniel Kiefer, Markus Bauer
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually. KES-HCIS (2021)
Markus Bauer, Daniel Kiefer, Florian Grimm
Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise. KES-HCIS (2021)
Daniel Kiefer, Florian Grimm, Markus Bauer, Clemens van Dinther
Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods. HICSS (2021)
Markus Bauer, Clemens van Dinther, Daniel Kiefer
Machine Learning in SME: An Empirical Study on Enablers and Success Factors. AMCIS (2020)