Understanding Issues in Big Data Applications - A Multidimensional Endeavor. - Daniel Staegemann; Matthias Volk 002; Naoum Jamous; Klaus Turowski (AMCIS, 2019)

An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises. - Daniel Staegemann; Matthias Volk 002; Christian Lucht; Christian Klie; Michael Hintze; Klaus Turowski (BIS (2), 2019)

Challenging Big Data Engineering: Positioning of Current and Future Development. - Matthias Volk 002; Daniel Staegemann; Matthias Pohl; Klaus Turowski (IoTBDS, 2019)

A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. - Abdulrahman Nahhas; Sascha Bosse; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (SITIS, 2019)

Exploring the Specificities and Challenges of Testing Big Data Systems. - Daniel Staegemann; Matthias Volk 002; Abdulrahman Nahhas; Mohammad Abdallah; Klaus Turowski (SITIS, 2019)

Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications. - Daniel Staegemann; Johannes Hintsch; Klaus Turowski (Wirtschaftsinformatik, 2019)

Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. - Christian Daase; Daniel Staegemann; Matthias Volk 002; Abdulrahman Nahhas; Klaus Turowski (ACIS, 2020)

Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. - Matthias Pohl; René Degenkolbe; Daniel Staegemann; Klaus Turowski (ACIS, 2020)

Exploring the Applicability of Test Driven Development in the Big Data Domain. - Daniel Staegemann; Matthias Volk 002; Naoum Jamous; Klaus Turowski (ACIS, 2020)

Improving the Quality Validation of the ETL Process using Test Automation. - Daniel Staegemann; Matthias Volk 002; Naoum Jamous; Ranjan Venkatesh; Stefan Willi Hart; Sascha Bosse; Klaus Turowski (AMCIS, 2020)

Towards an Automatized Way for Modeling Big Data System Architectures. - Matthias Volk 002; Daniel Staegemann; Felix Prothmann; Klaus Turowski (BIS, 2020)

Generating Content-Compliant Training Data in Big Data Education. - Robert Häusler; Daniel Staegemann; Matthias Volk 002; Sascha Bosse; Christian Bekel; Klaus Turowski (CSEDU (1), 2020)

Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (FEMIB, 2020)

Application of NLP to determine the State of Issues in Bug Tracking Systems. - Matthias Pohl; Ali Hashaam; Sascha Bosse; Daniel Gunnar Staegemann; Matthias Volk 002; Frederik Kramer; Klaus Turowski (ICDM (Workshops), 2020)

Approaching the (Big) Data Science Engineering Process. - Matthias Volk 002; Daniel Staegemann; Sascha Bosse; Robert Häusler; Klaus Turowski (IoTBDS, 2020)

Classifying Big Data Taxonomies: A Systematic Literature Review. - Daniel Staegemann; Matthias Volk 002; Alexandra Grube; Johannes Hintsch; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. - Daniel Staegemann; Matthias Volk 002; Tuan Vu; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (IoTBDS, 2020)

Towards a Decision Support System for Big Data Projects. - Matthias Volk 002; Daniel Staegemann; Sascha Bosse; Abdulrahman Nahhas; Klaus Turowski (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Identifying Similarities of Big Data Projects-A Use Case Driven Approach. - Matthias Volk 002; Daniel Staegemann; Ivayla Trifonova; Sascha Bosse; Klaus Turowski (IEEE Access, 2020)

Discussing Relations Between Dynamic Business Environments and Big Data Analytics. - Daniel Staegemann; Matthias Volk 002; Christian Daase; Klaus Turowski (Complex Syst. Informatics Model. Q., 2020)

Providing Clarity on Big Data Technologies: The BDTOnto Ontology. - Matthias Volk 002; Daniel Staegemann; Naoum Jamous; Matthias Pohl; Klaus Turowski (Int. J. Intell. Inf. Technol., 2020)

Low-code Development Platform Usage: Towards Bringing Citizen Development and Enterprise IT into Harmony. - Johannes Hintsch; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (ACIS, 2021)

Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies. - Matthias Volk 002; Daniel Staegemann; Dennis Bischoff; Klaus Turowski (AMCIS, 2021)

Hybrid Project Management Methods Efficiency in IT Projects. - Naoum Jamous; Gaurav Garttan; Daniel Staegemann; Matthias Volk 002 (AMCIS, 2021)

Towards a Concept for Building a Big Data Architecture with Microservices. - Aamir Shakir; Daniel Staegemann; Matthias Volk 002; Naoum Jamous; Klaus Turowski (BIS, 2021)

Investigating the Incorporation of Big Data in Management Information Systems. - Daniel Staegemann; Hannes Feuersenger; Matthias Volk 002; Patrick Liedtke; Hans-Knud Arndt; Klaus Turowski (BIS (Workshops), 2021)

Applying Test Driven Development in the Big Data Domain - Lessons From the Literature. - Daniel Staegemann; Matthias Volk 002; Erik Lautenschläger; Matthias Pohl; Mohammad Abdallah; Klaus Turowski (ICIT, 2021)

Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games. - Robert Häusler; Marcus Tröger; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (CSEDU (1), 2021)

A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. - Daniel Staegemann; Matthias Volk 002; Christian Daase; Matthias Pohl; Klaus Turowski (ICICT (2), 2021)

A Preliminary Overview of the Situation in Big Data Testing. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Robert Häusler; Abdulrahman Nahhas; Mohammad Abdallah; Klaus Turowski (IoTBDS, 2021)

Challenges in Data Acquisition and Management in Big Data Environments. - Daniel Staegemann; Matthias Volk 002; Akanksha Saxena; Matthias Pohl; Abdulrahman Nahhas; Robert Häusler; Mohammad Abdallah; Sascha Bosse; Naoum Jamous; Klaus Turowski (IoTBDS, 2021)

Examining the Interplay Between Big Data and Microservices - A Bibliometric Review. - Daniel Staegemann; Matthias Volk 002; Aamir Shakir; Erik Lautenschläger; Klaus Turowski (Complex Syst. Informatics Model. Q., 2021)

Quality Assurance in Big Data Engineering - A Metareview. - Daniel Staegemann; Matthias Volk 002; Klaus Turowski (Complex Syst. Informatics Model. Q., 2021)

Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (Int. J. Organ. Collect. Intell., 2021)

The Performance Benefit of Data Analytics Applications. - Matthias Pohl; Daniel Gunnar Staegemann; Klaus Turowski (ANT/EDI40, 2022)

Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. - Christian Haertel; Matthias Pohl; Daniel Staegemann; Klaus Turowski (IEEE Big Data, 2022)

Possible Application Scenarios for a German National Education Platform. - Daniel Staegemann; René Degenkolbe; Stefan Weidner; Robert Häusler; Vinzent Lange; Klaus Turowski (CSEDU (1), 2022)

Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. - Sven Timmermann; Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Johannes Hintsch; Klaus Turowski (FEMIB, 2022)

Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping. - Matthias Volk 002; Daniel Staegemann; Ashraful Islam; Klaus Turowski (HICSS, 2022)

Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. - Matthias Volk 002; Daniel Staegemann; Klaus Turowski (KDIR, 2022)

A Process Model for Test Driven Development in the Big Data Domain. - Daniel Staegemann; Matthias Volk 002; Naoum Jamous; Klaus Turowski (KDIR, 2022)

Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform. - Daniel Staegemann; Matthias Volk 002; Maneendra Perera; Klaus Turowski (KDIR, 2022)

Lowering Big Data Project Barriers: Identifying System Architecture Templates for Standard Use Cases in Big Data. - Matthias Volk 002; Daniel Staegemann; Akanksha Saxena; Johannes Hintsch; Naoum Jamous; Klaus Turowski (ICSBT, 2022)

Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. - Daniel Staegemann; Matthias Volk 002; Klaus Turowski (ICSBT, 2022)

Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. - Tobias Altenburg; Matthias Volk 002; Daniel Staegemann; Klaus Turowski (IoTBDS, 2022)

Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case. - Daniel Staegemann; Matthias Volk 002; Priyanka Byahatti; Nikhilkumar Italiya; Suhas Shantharam; Apoorva Byaladakere Chandrashekar; Klaus Turowski (IoTBDS, 2022)

Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (PACIS, 2022)

A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. - Daniel Staegemann; Matthias Volk 002; Maneendra Perera; Christian Haertel; Matthias Pohl; Christian Daase; Klaus Turowski (Complex Syst. Informatics Model. Q., 2022)

The Linkage to Business Goals in Data Science Projects. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (ACIS, 2023)

A Survey of Technology Selection Approaches in Data Science Projects. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Data Valuation Methods - A Literature Review. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Naoum Jamous; Klaus Turowski (AMCIS, 2023)

MLOps in Data Science Projects: A Review. - Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Abdulrahman Nahhas; Klaus Turowski (IEEE Big Data, 2023)

Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. - Christian Haertel; Christian Daase; Daniel Staegemann; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (KMIS, 2023)

The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. - Christian Daase; Matthias Volk 002; Daniel Staegemann; Klaus Turowski (ICEIS (2), 2023)

On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project. - Christian Daase; Matthias Volk 002; Daniel Staegemann; Klaus Turowski (ICEIS (Revised Selected Papers 2), 2023)

Decentralised Autonomous Management of an Association Through Smart Contracts According to German Legislation. - Matthias Pohl; René Degenkolbe; Daniel Gunnar Staegemann; Klaus Turowski (ICEIS (1), 2023)

Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. - Christian Daase; Anuraag Pandey; Daniel Staegemann; Klaus Turowski (ICINCO (1), 2023)

A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Klaus Turowski (ICINCO (1), 2023)

A Data Collection Quality Model for Big Data Systems. - Mohammad Abdallah; Alaa Hammad; Daniel Staegemann (ICIT, 2023)

Towards the Application of Test Driven Development in Big Data Engineering. - Daniel Staegemann; Matthias Volk 002; Mohammad Abdallah; Klaus Turowski (ICIT, 2023)

Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis. - Tobias Altenburg; Daniel Staegemann; Klaus Turowski (ICSBT, 2023)

Towards the Creation of a Holistic Video Analytics Platform for Retail Environments. - Christian Daase; Daniel Staegemann; Anastasija Nikiforova; Victor Chang 001; Johannes Hintsch; Matthias Volk 002; Klaus Turowski (ICSBT, 2023)

Towards an Evaluation Concept for Business Simulation Games: Preliminary Work and Piloting in SAP ERP Teaching. - Robert Häusler; Malte Rathjens; Daniel Staegemann; Klaus Turowski (ICSBT, 2023)

On the Challenges of Applying Test Driven Development to the Engineering of Big Data Applications. - Daniel Staegemann; Matthias Volk 002; Mohammad Abdallah; Klaus Turowski (ICSBT, 2023)

Exploring the Test Driven Development of an Information Retrieval System. - Daniel Staegemann; Sujith Sudhakaran; Christian Daase; Klaus Turowski (ICSBT, 2023)

Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. - Daniel Staegemann; Natalie Schröder; Christian Daase; Christian Haertel; Matthias Pohl; Robert Häusler; Johannes Hintsch; Klaus Turowski (ISD, 2023)

An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. - Daniel Staegemann; Matthias Pohl; Christian Haertel; Christian Daase; Mohammad Abdallah; Klaus Turowski (SITIS, 2023)

Towards a German National Education Platform. - Ksenia Neumann; Damanpreet Singh Walia; Daniel Staegemann; Robert Häusler; Stefan Weidner; Klaus Turowski (SoftCOM, 2023)

Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices. - Christian Daase; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (J. Softw., 2023)

Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation. - Tobias Altenburg; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (SN Comput. Sci., 2023)

Application of microservices patterns to big data systems. - Pouya Ataei; Daniel Staegemann (J. Big Data, 2023)

Why Big Data Projects Fail? A Systematic Literature Review. - Pouya Ataei; Stephen Thorpe; Sri Regula; Daniel Staegemann (ACIS, 2024)

Impact of Big Data Analytics on Business Performance: A systematic Literature Review. - Pouya Ataei; Sri Regula; Christian Haertel; Daniel Staegemann (AMCIS, 2024)

Challenges in Data Science Project Management: A Case Study in a European OEM. - Christian Haertel; Vincent Donat; Daniel Staegemann; Matthias Pohl; Klaus Turowski (AMCIS, 2024)

Toward Improved Knowledge Retention: A Template for Describing Data Science Projects. - Christian Haertel; Daniel Staegemann; Matthias Pohl; Christian Daase; Klaus Turowski (IEEE Big Data, 2024)

Categorization of Data Analytics Projects in Smart Manufacturing. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (IEEE Big Data, 2024)

Data Lakehouse for Time Series Data: A Systematic Literature Review. - Matthias Pohl; Nathira Dharindri Wijemanne; Daniel Staegemann; Christian Haertel; Christian Daase; Dirk Dreschel; Damanpreet Singh Walia; Arne Osterthun; Joshua Reibert; Klaus Turowski (IEEE Big Data, 2024)

Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. - Matthias Pohl; Hannah Giegold; Christian Haertel; Daniel Staegemann; Klaus Turowski (BIOSTEC (2), 2024)

Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education. - Robert Häusler; Daniel Staegemann; Klaus Turowski (CSEDU (1), 2024)

A Methodology for Constructing Patterns for the Management of Data Science Projects. - Christian Haertel; Sarah Schramm; Matthias Pohl; Sascha Bosse; Daniel Staegemann; Christian Daase; Klaus Turowski (ICEIS (1), 2024)

Exploring the Test Driven Development of a Big Data Infrastructure Examining Gun Violence Incidents in the United States of America. - Daniel Staegemann; Malte Rathjens; Hannes Hinniger; Vivian Schmidt; Klaus Turowski (ICSBT, 2024)

A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. - Andrey Kharitonov; Amro Abdalla; Abdulrahman Nahhas; Daniel Gunnar Staegemann; Christian Haertel; Christian Daase; Klaus Turowski (ICSOFT, 2024)

Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. - Christian Daase; Daniel Staegemann; Klaus Turowski (IoTBDS, 2024)

A Low-Cost Autograder Approach utilizing Serverless Cloud Technologies for Higher Educational Institutions (HEI). - Matthias Volk 002; Daniel Staegemann; Muralidhar Kuluru; Eugen Martel; Klaus Turowski (PACIS, 2024)

The Application of Data Science at Original Equipment Manufacturers: A Literature Review. - Christian Haertel; Vincent Donat; Daniel Staegemann; Christian Daase; Marco Finkendei; Klaus Turowski (IEEE Access, 2024)

Explaining the Business-Technological Age of Legacy Information Systems. - Sebastian Rosenkranz; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (IEEE Access, 2024)

A Review on Large Language Models and Generative AI in Banking. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Mohammad Abdallah; Klaus Turowski (FEMIB, 2025)

Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence. - Christian Daase; Seles Selvan; Dominic Strube; Daniel Staegemann; Jennifer Schietzel-Kalkbrenner; Klaus Turowski (ICEIS (1), 2025)

Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review. - Vincent Donat; Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Dirk Dreschel; Damanpreet Singh Walia; Klaus Turowski (ICEIS (1), 2025)

AI-Based Program Slicing: Techniques, Tools, and Comparative Analysis. - Mohammad Abdallah; Amir Ngah; Anas Al-Rahamneh; Daniel Staegemann (ICIT, 2025)