Daniel Kiefer

Orcid: 0000-0003-2575-9390

According to our database1, Daniel Kiefer authored at least 9 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2022
The Time has Come - Application of Artificial Intelligence in Small- and Medium-Sized Enterprises.
Proceedings of the WI for Grand Challenges, 2022

Artificial Intelligence in Supply Chain Management: Investigation of Transfer Learning to Improve Demand Forecasting of Intermittent Time Series with Deep Learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Digital Innovation Culture: A Systematic Literature Review.
Proceedings of the Innovation durch Informationssysteme, 2021

Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics.
Proceedings of the Human Centred Intelligent Systems, 2021

Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually.
Proceedings of the Human Centred Intelligent Systems, 2021

Digital Skills of Procurement Employees and Their Attitudes Toward Digital Technologies.
Proceedings of the Human Centred Intelligent Systems, 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.
Proceedings of the Human Centred Intelligent Systems, 2021

Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Machine Learning in SME: An Empirical Study on Enablers and Success Factors.
Proceedings of the 26th Americas Conference on Information Systems, 2020


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