Tobias Enders

According to our database1, Tobias Enders authored at least 15 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts.
CoRR, 2024

2023
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.
CoRR, 2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2022
Why Should I Share? Exploring Benefits of Open Data for Private Sector Organizations.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

2021
Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data.
Proceedings of the Innovation durch Informationssysteme, 2021

Opening Pandora's Box? Guiding Organizations Through Selective Open Data Revealing.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Designing Chemical Emergency Response Systems Based on Open Data.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption - The Case of Data-Driven Services.
Proceedings of the Exploring Service Science - 10th International Conference, 2020

Knowing What to Share: Selective Revealing in Open Data.
Proceedings of the 28th European Conference on Information Systems, 2020

How to Implement an Open Data Strategy? Analyzing Organizational Change Processes to Enable Value Creation by Revealing Data.
Proceedings of the 28th European Conference on Information Systems, 2020

Capturing the Value: How to Charge for Smart Services.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

2019
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau.
HMD Prax. Wirtsch., 2019

Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

2018
Exploring the Value of Data - A Research Agenda.
Proceedings of the Exploring Service Science - 9th International Conference, 2018

2017
GreedyBoost: An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017


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