Christian Daase

38 papers B 3C 4Journal 4Unranked 27
YearRankTypeTitle / Venue / Authors
2025 — conf
A Review on Large Language Models and Generative AI in Banking.
FEMIB
Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Mohammad Abdallah, Klaus Turowski
2025 — conf
Do ESG Ratings Drive Financial Performance? A Systematic Analysis of Trends and Challenges.
FEMIB
Amelie Heinelt, Dominic Strube, Christian Daase
2025 — conf
Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence.
ICEIS (1)
Christian Daase, Seles Selvan, Dominic Strube, Daniel Staegemann, Jennifer Schietzel-Kalkbrenner, Klaus Turowski
2025 — conf
Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review.
ICEIS (1)
Vincent Donat, Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Dirk Dreschel, Damanpreet Singh Walia, Klaus Turowski
2025 — conf
Guiding Improvement in Data Science: An Analysis of Maturity Models.
IC3K (KEOD/KMIS)
Christian Haertel, Tom Engelmann, Abdulrahman Nahhas, Christian Daase, Klaus Turowski
2025 — conf
How did the Emergence of ChatGPT Impact Stack Overflow? - A Literature Review.
ISD
Daniel Staegemann, Mariia Rizun, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
2025 — conf
Modular Generative Adversarial Networks for Support in Product Design.
ISD
Sanket Gaikwad, Christian Daase, Christian Haertel, Daniel Staegemann, Klaus Turowski
2024 C conf
A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise.
ICSOFT
Andrey Kharitonov, Amro Abdalla, Abdulrahman Nahhas, Daniel Gunnar Staegemann, Christian Haertel, Christian Daase, Klaus Turowski
2024 — conf
A Methodology for Constructing Patterns for the Management of Data Science Projects.
ICEIS (1)
Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski
2024 — conf
Applications of Artificial Intelligence in Sustainability Assessment and Risk Management in European Banking.
FEMIB
Dominic Strube, Christian Daase, Jennifer Schietzel-Kalkbrenner
2024 — conf
Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective.
DESRIST
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski
2024 B conf
Data Lakehouse for Time Series Data: A Systematic Literature Review.
IEEE Big Data
Matthias Pohl, Nathira Dharindri Wijemanne, Daniel Staegemann, Christian Haertel, Christian Daase, Dirk Dreschel, Damanpreet Singh Walia, Arne Osterthun, Joshua Reibert, Klaus Turowski
2024 — conf
Explainable Business Intelligence for Video Analytics in Retail.
ICEIS (1)
Christian Daase, Christian Haertel, Klaus Turowski
2024 — conf
On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges.
ICEIS (1)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski
2024 C conf
Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods.
IoTBDS
Christian Daase, Daniel Staegemann, Klaus Turowski
2024 J jnl
The Application of Data Science at Original Equipment Manufacturers: A Literature Review.
IEEE Access
Christian Haertel, Vincent Donat, Daniel Staegemann, Christian Daase, Marco Finkendei, Klaus Turowski
2024 — conf
The Recruiting Process as an Attractiveness Factor: How Do Companies Manage to Position Themselves Competitively as Employers?
FEMIB
Jennifer Schietzel-Kalkbrenner, Niklas Petelkau, Dominic Strube, Christian Daase
2024 B conf
Toward Improved Knowledge Retention: A Template for Describing Data Science Projects.
IEEE Big Data
Christian Haertel, Daniel Staegemann, Matthias Pohl, Christian Daase, Klaus Turowski
2023 — conf
A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators.
ICINCO (1)
Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski
2023 — conf
An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications.
SITIS
Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski
2023 — conf
Conducting Design Science Research in Society 5.0 - Proposal of an Explainable Artificial Intelligence Research Methodology.
DESRIST
Christian Daase, Klaus Turowski
2023 — conf
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development.
ISD
Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski
2023 J jnl
Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices.
J. Softw.
Christian Daase, Daniel Staegemann, Matthias Volk, Klaus Turowski
2023 — conf
Exploring the Test Driven Development of an Information Retrieval System.
ICSBT
Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski
2023 B conf
MLOps in Data Science Projects: A Review.
IEEE Big Data
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
2023 — conf
On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project.
ICEIS (Revised Selected Papers 2)
Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski
2023 — conf
Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model.
ICINCO (1)
Christian Daase, Anuraag Pandey, Daniel Staegemann, Klaus Turowski
2023 — conf
The Correlation of ESG Ratings and Abnormal Returns: An Event Study Using Machine Learning.
FEMIB
Dominic Strube, Christian Daase
2023 — conf
The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities.
ICEIS (2)
Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski
2023 — conf
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators.
KMIS
Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
2023 — conf
Towards the Creation of a Holistic Video Analytics Platform for Retail Environments.
ICSBT
Christian Daase, Daniel Staegemann, Anastasija Nikiforova, Victor Chang, Johannes Hintsch, Matthias Volk, Klaus Turowski
2022 — conf
A Holistic View of Adaptive Supply Chain in Retailing Industry.
AMCIS
Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski
2022 J jnl
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering.
Complex Syst. Informatics Model. Q.
Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
2022 C conf
Following the Digital Thread - A Cloud-Based Observation.
ISM
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Matthias Volk, Heiko Steigerwald, Achim Ramesohl, Bernd Schneider, Alexander Zeier, Klaus Turowski
2022 C conf
On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing.
ISM
Abdulrahman Nahhas, Christian Haertel, Christian Daase, Matthias Volk, Achim Ramesohl, Heiko Steigerwald, Alexander Zeier, Klaus Turowski
2021 — conf
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations.
ICICT (2)
Daniel Staegemann, Matthias Volk, Christian Daase, Matthias Pohl, Klaus Turowski
2020 — conf
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots.
ACIS
Christian Daase, Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Klaus Turowski
2020 J jnl
Discussing Relations Between Dynamic Business Environments and Big Data Analytics.
Complex Syst. Informatics Model. Q.
Daniel Staegemann, Matthias Volk, Christian Daase, Klaus Turowski