Machine Learning in SME: An Empirical Study on Enablers and Success Factors M Bauer, C van Dinther, D Kiefer Proceedings of the 26th Americas Conference on Information Systems (AMCIS …, 2020 | 67 | 2020 |
Digital Innovation Culture: A Systematic Literature Review D Kiefer, C Dinther van, J Spitzmüller 16. Internationale Tagung Wirtschaftsinformatik (WI 2021), 2021 | 36 | 2021 |
Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods D Kiefer, F Grimm, M Bauer, C Dinther van Proceedings of the 54th Hawaii International Conference on System Sciences …, 2021 | 27 | 2021 |
Application of Artificial Intelligence to optimize forecasting capability in procurement D Kiefer, A Ulmer, C Dinther WVK Wissenschaftliche Vertiefungskonferenz - Tagungsband 2019 5 (1), 69-80, 2019 | 15 | 2019 |
Artificial intelligence in supply chain management: investigation of transfer learning to improve demand forecasting of intermittent time series with deep learning D Kiefer, F Grimm, C van Dinther | 3 | 2022 |
Methoden zur Sofortpreiskalkulation von CNC-Drehteilen: Entwicklung und Bewertung der Anwendbarkeit von Algorithmen und prädiktiven Machine-Learning-Modellen A Eberl, B Fallert, D Kiefer, D Leuschner, L Mastroianni, P Richter, ... ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (12), 835-839, 2018 | 2* | 2018 |
Digital skills of procurement employees and their attitudes toward digital technologies G Blessing, D Kiefer International Conference on Human-Centered Intelligent Systems, 173-182, 2021 | 1 | 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 M Bauer, D Kiefer, F Grimm International Conference on Human-Centered Intelligent Systems, 163-172, 2021 | 1 | 2021 |
The time has come: application of artificial intelligence in small-and medium-sized enterprises D Kiefer, C Van Dinther, T Straub Wirtschaftsinformatik 2022: Proceedings, 21.-23. February 2022, Nuremberg …, 2022 | | 2022 |
Univariate time series forecasting by investigating intermittence and demand individually F Grimm, D Kiefer, M Bauer International Conference on Human-Centered Intelligent Systems, 143-151, 2021 | | 2021 |
Univariate time series forecasting: machine learning prediction of the best suitable forecast model based on time series characteristics D Kiefer, M Bauer, F Grimm International Conference on Human-Centered Intelligent Systems, 152-162, 2021 | | 2021 |
Entwicklung eines systematischen Vorgehensmodells zur strategiekonformen Ausrichtung globaler Produktionsnetzwerke - Anwendung am Beispiel eines Tier-1-FMCG-Zulieferers D Kiefer ESB Business School, 2019 | | 2019 |
Wie kann man Erfolg in Zahlen fassen? Entwicklung eines KPI Screenings und Cockpits am Beispiel eines Pharmazeutischen Unternehmens D Kiefer Aalen University, 2017 | | 2017 |