Erster Konzeptansatz von Sicherheitstypen: Sicherheitsbewusstsein von Kindern und Jugendlichen im Umgang mit dem Internet. - Jana Fruth; Marcel Beskau; Matthias Volk 002; Anneke Meyer; Robin Richter; Jana Dittmann (GI-Jahrestagung, 2013)

How much is Big Data? A Classification Framework for IT Projects and Technologies. - Matthias Volk 002; Stefan Willi Hart; Sascha Bosse; Klaus Turowski (AMCIS, 2016)

The I-ID - An IT Solution to Supplement Conventional Identification Cards: The Air Transportation Systems Use Case. - Naoum Jamous; Stefan Willi Hart; Matthias Volk 002; Klaus Turowski (ES, 2016)

Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects. - Matthias Volk 002; Naoum Jamous; Klaus Turowski (AMCIS, 2017)

New E-Commerce User Interest Patterns. - Matthias Volk 002; Abed Elrahman Shareef; Naoum Jamous; Klaus Turowski (BigData Congress, 2017)

Providing Clarity on Big Data Technologies: A Structured Literature Review. - Matthias Volk 002; Sascha Bosse; Klaus Turowski (CBI (1), 2017)

Classifying Big Data Technologies - An Ontology-based Approach. - Matthias Volk 002; Matthias Pohl; Klaus Turowski (AMCIS, 2018)

IT Operation Management - A possibility in the flux of digitization. - Naoum Jamous; Christian Haertel; Marco Finkendei; Matthias Volk 002; Johannes Hintsch (AMCIS, 2018)

IT-Landscape Management in the Higher Educational Institutions. - Matthias Volk 002; Naoum Jamous (ES, 2018)

Machine Learning Techniques for Annotations of Large Financial Text Datasets. - Jesse Roberts; Matthias Volk 002; Robert Neumann; Klaus Turowski (AMCIS, 2019)

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

Decision-Support for Selecting Big Data Reference Architectures. - Matthias Volk 002; Sascha Bosse; Dennis Bischoff; Klaus Turowski (BIS (1), 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)

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)

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 Smart Service Level Agreement (SSLA) Using Blockchain. - Naoum Jamous; Matthias Volk 002; Hiba Barouqa; Faris Ghnaim; Tarek Turk (PACIS, 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)

A Holistic View of Adaptive Supply Chain in Retailing Industry. - Christian Haertel; Abdulrahman Nahhas; Christian Daase; Matthias Volk 002; Klaus Turowski (AMCIS, 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)

Following the Digital Thread - A Cloud-Based Observation. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Matthias Volk 002; Heiko Steigerwald; Achim Ramesohl; Bernd Schneider; Alexander Zeier; Klaus Turowski (ISM, 2022)

On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. - Abdulrahman Nahhas; Christian Haertel; Christian Daase; Matthias Volk 002; Achim Ramesohl; Heiko Steigerwald; Alexander Zeier; Klaus Turowski (ISM, 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)

Decision support for the technology selection in big data projects : an end-to-end approach - Matthias Volk 002 (2022)

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)

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)

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

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)

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)

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)

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