Jens Passlick

Orcid: 0000-0002-8065-384X

According to our database1, Jens Passlick authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation.
Inf. Syst. E Bus. Manag., March, 2023

Trends of Top IS Research by Region, Outlet, and Emergence: A Semi-Automated Literature Review.
Inf., February, 2023

2022
How to Make chatbots productive - A user-oriented implementation framework.
Int. J. Hum. Comput. Stud., 2022

2021
Essays on business analytics, digital transformation, and improved literature searches
PhD thesis, 2021

Predictive maintenance as an internet of things enabled business model: A taxonomy.
Electron. Mark., 2021

2020
Encouraging the use of self-service business intelligence - an examination of employee-related influencing factors.
J. Decis. Syst., 2020

Virtual Assistance in Any Context.
Bus. Inf. Syst. Eng., 2020

2019
Future of Flexible Work in the Digital Age: Bring Your Own Device Challenges of Privacy Protection.
Proceedings of the 40th International Conference on Information Systems, 2019

Using Web Analytics Data: a participatory Design Model for Individual Web Traffic Report Development.
Proceedings of the 25th Americas Conference on Information Systems, 2019

2018
Combining Machine Learning and Domain Experience: A Hybrid-Learning Monitor Approach for Industrial Machines.
Proceedings of the Exploring Service Science - 9th International Conference, 2018

2017
A Self-Service Supporting Business Intelligence and Big Data Analytics Architecture.
Proceedings of the Towards Thought Leadership in Digital Transformation: 13. Internationale Tagung Wirtschaftsinformatik, 2017

Maintenance Planning Using Condition Monitoring Data.
Proceedings of the Operations Research Proceedings 2017, 2017

2016
Optimizing Machine Spare Parts Inventory Using Condition Monitoring Data.
Proceedings of the Operations Research Proceedings 2016, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30, 2016


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