Machine Learning in SME: An Empirical Study on Enablers and Success Factors. - Markus Bauer 002; Clemens van Dinther; Daniel Kiefer (AMCIS, 2020)

Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods. - Daniel Kiefer; Florian Grimm; Markus Bauer 002; Clemens van Dinther (HICSS, 2021)

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. - Markus Bauer 002; Daniel Kiefer; Florian Grimm (KES-HCIS, 2021)

Digital Skills of Procurement Employees and Their Attitudes Toward Digital Technologies. - Gerald Blessing; Daniel Kiefer (KES-HCIS, 2021)

Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually. - Florian Grimm; Daniel Kiefer; Markus Bauer 002 (KES-HCIS, 2021)

Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics. - Daniel Kiefer; Markus Bauer 002; Florian Grimm (KES-HCIS, 2021)

Digital Innovation Culture: A Systematic Literature Review. - Daniel Kiefer; Clemens van Dinther; Julian Spitzmüller (Wirtschaftsinformatik, 2021)

Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning. - Daniel Kiefer; Florian Grimm; Clemens van Dinther (HICSS, 2022)

The Time has Come - Application of Artificial Intelligence in Small- and Medium-Sized Enterprises. - Daniel Kiefer; Clemens van Dinther; Tim Straub (Wirtschaftsinformatik, 2022)

Automatic Gear Tooth Alignment in Vision Based Preventive Maintenance. - Florian Grimm; Daniel Kiefer; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2023)

Anomaly Detection in Hobbing Tool Images: Using An Unsupervised Deep Learning Approach in Manufacturing Industry. - Daniel Kiefer; Stefan Wezel; Alexander Böttcher; Florian Grimm; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2023)

Practice Summary: GE Optimizes for Aircraft Engine Overhaul Scheduling and Shop Assignment. - Nitish Umang; Daniel Kiefer; Patricio Gonzalez; Henri Thevenot; Christopher D. Johnson; Jean Martin; Emily Stephenson; Jerrold Cline; Banu Gemici-Ozkan; Israel Beniaminy (INFORMS J. Appl. Anal., 2023)

Taking a HINT on Industrial Anomaly Detection. - Jacqueline Höllig; Florian Grimm; Daniel Kiefer; Steffen Thoma (INFORMATIK, 2024)

Automatic Gear Tooth Alignment 2.0: Improved Image Segmentation for Better Rotation Angle Deviation Determination. - Florian Grimm; Daniel Kiefer; Tim Straub; Günter Bitsch; Clemens van Dinther (ISM, 2024)