Klaus Turowski

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 143

Top Venues

AMCIS

IoTBDS

HICSS

University of Münster (PHD)

Education History

University of Münster

PHD

Publications

Christian Haertel, Vincent Donat, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenges in Data Science Project Management: A Case Study in a European OEM. AMCIS (2024)
Matthias Volk, Daniel Staegemann, Muralidhar Kuluru, Eugen Martel, Klaus Turowski
A Low-Cost Autograder Approach utilizing Serverless Cloud Technologies for Higher Educational Institutions (HEI). PACIS (2024)
Sebastian Rosenkranz, Daniel Staegemann, Matthias Volk, Klaus Turowski
Explaining the Business-Technological Age of Legacy Information Systems. IEEE Access 12 (2024)
Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS (2024)
Christian Daase, Christian Haertel, Klaus Turowski
Explainable Business Intelligence for Video Analytics in Retail. ICEIS (1) (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski
Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. DESRIST (2024)
Matthias Pohl, Hannah Giegold, Christian Haertel, Daniel Staegemann, Klaus Turowski
Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. BIOSTEC (2) (2024)
Robert Häusler, Daniel Staegemann, Klaus Turowski
Individual Business Simulation Games as a Service: Towards a Concept for Adaptive ERP Education. CSEDU (1) (2024)
Christian Daase, Daniel Staegemann, Klaus Turowski
Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. IoTBDS (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski
On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. ICEIS (1) (2024)
Damanpreet Singh Walia, Ksenia Neumann, Visman Jeet Singh Walia, Malte Rathjens, Stefan Weidner, Klaus Turowski
Unveiling the Potential: Assessing the Role of SSI Wallets in Promoting Sustainability in Federated Learning Environments. CSEDU (1) (2024)
Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski
A Methodology for Constructing Patterns for the Management of Data Science Projects. ICEIS (1) (2024)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Naoum Jamous, Klaus Turowski
Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. AMCIS (2023)
Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS (2023)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
A Hybrid Job Scheduling Approach on Cloud Computing Environments on the Usage of Heuristics and Metaheuristics Methods. HICSS (2023)
Christian Daase, Anuraag Pandey, Daniel Staegemann, Klaus Turowski
Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. ICINCO (1) (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
Data Valuation Methods - A Literature Review. AMCIS (2023)
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
MLOps in Data Science Projects: A Review. BigData (2023)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS (2023)
Tobias Altenburg, Daniel Staegemann, Klaus Turowski
Identifying the Economic Relevance of Smart Meter Reliability in Germany: A Cost-Benefit Analysis. ICSBT (2023)
Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski
Towards the Application of Test Driven Development in Big Data Engineering. ICIT (2023)
Matthias Pohl, Christian Haertel, Klaus Turowski
Value Creation from Data Science Applications - A Literature Review. BIR (2023)
Matthias Pohl, René Degenkolbe, Daniel Gunnar Staegemann, Klaus Turowski
Decentralised Autonomous Management of an Association Through Smart Contracts According to German Legislation. ICEIS (1) (2023)
Abdulrahman Nahhas, Christian Haertel, Christian Daase, Matthias Volk, Achim Ramesohl, Heiko Steigerwald, Alexander Zeier, Klaus Turowski
On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. ISM (2023)
Daniel Staegemann, Matthias Volk, Mohammad Abdallah, Klaus Turowski
On the Challenges of Applying Test Driven Development to the Engineering of Big Data Applications. ICSBT (2023)
Robert Häusler, Malte Rathjens, Daniel Staegemann, Klaus Turowski
Towards an Evaluation Concept for Business Simulation Games: Preliminary Work and Piloting in SAP ERP Teaching. ICSBT (2023)
Andrey Kharitonov, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski
Data Driven Meta-Heuristic-Assisted Approach for Placement of Standard IT Enterprise Systems in Hybrid-Cloud. CLOSER (2023)
Andrey Kharitonov, Roheet Rajendran, Hendrik Müller, Klaus Turowski
Utility of Univariate Forecasting for Workload Metrics Predictions in Enterprise Applications. KMIS (2023)
Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski
The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. ICEIS (2) (2023)
Christian Daase, Daniel Staegemann, Matthias Volk, Klaus Turowski
Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices. J. Softw. 18 (2) (2023)
Tobias Altenburg, Daniel Staegemann, Matthias Volk, Klaus Turowski
Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation. SN Comput. Sci. 4 (5) (2023)
Christian Daase, Daniel Staegemann, Anastasija Nikiforova, Victor Chang, Johannes Hintsch, Matthias Volk, Klaus Turowski
Towards the Creation of a Holistic Video Analytics Platform for Retail Environments. ICSBT (2023)
Christian Daase, Klaus Turowski
Conducting Design Science Research in Society 5.0 - Proposal of an Explainable Artificial Intelligence Research Methodology. DESRIST (2023)
Ksenia Neumann, Damanpreet Singh Walia, Daniel Staegemann, Robert Häusler, Stefan Weidner, Klaus Turowski
Towards a German National Education Platform. SoftCOM (2023)
Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. ISD (2023)
Maria Chernigovskaya, Andrey Kharitonov, Klaus Turowski
A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms. CLOSER (2023)
Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski
A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. ICINCO (1) (2023)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Matthias Volk, Heiko Steigerwald, Achim Ramesohl, Bernd Schneider, Alexander Zeier, Klaus Turowski
Following the Digital Thread - A Cloud-Based Observation. ISM (2023)
Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski
Exploring the Test Driven Development of an Information Retrieval System. ICSBT (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
The Linkage to Business Goals in Data Science Projects. ACIS (2023)
Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski
An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. SITIS (2023)
Daniel Staegemann, Matthias Volk, Klaus Turowski
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development. ICSBT (2022)
Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. Complex Syst. Informatics Model. Q. 31 (2022)
Daniel Staegemann, René Degenkolbe, Stefan Weidner, Robert Häusler, Vinzent Lange, Klaus Turowski
Possible Application Scenarios for a German National Education Platform. CSEDU (1) (2022)
Azeem Lodhi, Gunter Saake, Klaus Turowski
Empirical Evaluation of BPMN Extension Language. KDIR (2022)
Abhijith Remesh, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Investigating different optimization criteria for a hybrid job scheduling approach based on heuristics and metaheuristics. ACIS (2022)
Daniel Staegemann, Matthias Volk, Maneendra Perera, Klaus Turowski
Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform. KDIR (2022)
Matthias Volk, Daniel Staegemann, Ashraful Islam, Klaus Turowski
Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping. HICSS (2022)
Hendrik Müller, Andrey Kharitonov, Abdulrahman Nahhas, Sascha Bosse, Klaus Turowski
Addressing IT Capacity Management Concerns Using Machine Learning Techniques. SN Comput. Sci. 3 (1) (2022)
Matthias Pohl, Daniel Gunnar Staegemann, Klaus Turowski
The Performance Benefit of Data Analytics Applications. ANT/EDI40 (2022)
Sven Timmermann, Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Johannes Hintsch, Klaus Turowski
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. FEMIB (2022)
Tobias Altenburg, Matthias Volk, Daniel Staegemann, Klaus Turowski
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation. IoTBDS (2022)
Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS (2022)
Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski
Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). HICSS (2022)
Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. Big Data (2022)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
A Process Model for Test Driven Development in the Big Data Domain. KDIR (2022)
Matthias Volk, Daniel Staegemann, Klaus Turowski
Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. KDIR (2022)
Matthias Volk, Daniel Staegemann, Akanksha Saxena, Johannes Hintsch, Naoum Jamous, Klaus Turowski
Lowering Big Data Project Barriers: Identifying System Architecture Templates for Standard Use Cases in Big Data. ICSBT (2022)
Daniel Staegemann, Matthias Volk, Priyanka Byahatti, Nikhilkumar Italiya, Suhas Shantharam, Apoorva Byaladakere Chandrashekar, Klaus Turowski
Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case. IoTBDS (2022)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS (2022)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. 11 (4) (2021)
Johannes Hintsch, Daniel Staegemann, Matthias Volk, Klaus Turowski
Low-code Development Platform Usage: Towards Bringing Citizen Development and Enterprise IT into Harmony. ACIS (2021)
Andrey Kharitonov, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Comparative analysis of machine learning models for anomaly detection in manufacturing. ISM (2021)
Daniel Staegemann, Matthias Volk, Erik Lautenschläger, Matthias Pohl, Mohammad Abdallah, Klaus Turowski
Applying Test Driven Development in the Big Data Domain - Lessons From the Literature. ICIT (2021)
Abdulrahman Nahhas, Andrey Kharitonov, Ahmad Alwadi, Klaus Turowski
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times. ISM (2021)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
A Preliminary Overview of the Situation in Big Data Testing. IoTBDS (2021)
Daniel Staegemann, Matthias Volk, Klaus Turowski
Quality Assurance in Big Data Engineering - A Metareview. Complex Syst. Informatics Model. Q. 28 (2021)
Abdulrahman Nahhas, Jahnavi Thimmaiah Cheyyanda, Klaus Turowski
An adaptive scheduling framework for the dynamic virtual machines placement to reduce energy consumption in cloud data centers. HICSS (2021)
Daniel Staegemann, Matthias Volk, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski
Challenges in Data Acquisition and Management in Big Data Environments. IoTBDS (2021)
Daniel Staegemann, Matthias Volk, Aamir Shakir, Erik Lautenschläger, Klaus Turowski
Examining the Interplay Between Big Data and Microservices - A Bibliometric Review. Complex Syst. Informatics Model. Q. 27 (2021)
Daniel Staegemann, Matthias Volk, Christian Daase, Matthias Pohl, Klaus Turowski
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. ICICT (2) (2021)
Matthias Volk, Daniel Staegemann, Dennis Bischoff, Klaus Turowski
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies. AMCIS (2021)
Abdulrahman Nahhas, Marco Krist, Klaus Turowski
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems. HICSS (2021)
Robert Häusler, Marcus Tröger, Daniel Staegemann, Matthias Volk, Klaus Turowski
Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games. CSEDU (1) (2021)
Aamir Shakir, Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Towards a Concept for Building a Big Data Architecture with Microservices. BIS (2021)
Daniel Staegemann, Hannes Feuersenger, Matthias Volk, Patrick Liedtke, Hans-Knud Arndt, Klaus Turowski
Investigating the Incorporation of Big Data in Management Information Systems. BIS (Workshops) (2021)
Daniel Staegemann, Matthias Volk, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Classifying Big Data Taxonomies: A Systematic Literature Review. IoTBDS (2020)
Robert Häusler, Daniel Staegemann, Matthias Volk, Sascha Bosse, Christian Bekel, Klaus Turowski
Generating Content-Compliant Training Data in Big Data Education. CSEDU (1) (2020)
Matthias Volk, Daniel Staegemann, Ivayla Trifonova, Sascha Bosse, Klaus Turowski
Identifying Similarities of Big Data Projects-A Use Case Driven Approach. IEEE Access 8 (2020)
Matthias Volk, Daniel Staegemann, Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski
Towards a Decision Support System for Big Data Projects. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Exploring the Applicability of Test Driven Development in the Big Data Domain. ACIS (2020)
Daniel Staegemann, Matthias Volk, Christian Daase, Klaus Turowski
Discussing Relations Between Dynamic Business Environments and Big Data Analytics. Complex Syst. Informatics Model. Q. 23 (2020)
Daniel Staegemann, Matthias Volk, Tuan Vu, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis. IoTBDS (2020)
Matthias Volk, Daniel Staegemann, Felix Prothmann, Klaus Turowski
Towards an Automatized Way for Modeling Big Data System Architectures. BIS (2020)
Matthias Pohl, Ali Hashaam, Sascha Bosse, Daniel Gunnar Staegemann, Matthias Volk, Frederik Kramer, Klaus Turowski
Application of NLP to determine the State of Issues in Bug Tracking Systems. ICDM (Workshops) (2020)
Matthias Pohl, René Degenkolbe, Daniel Staegemann, Klaus Turowski
Towards a Blockchain Technology Framework - Literature Review on components in blockchain implementations. ACIS (2020)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB (2020)
Matthias Volk, Daniel Staegemann, Sascha Bosse, Robert Häusler, Klaus Turowski
Approaching the (Big) Data Science Engineering Process. IoTBDS (2020)
Philipp Stecher, Matthias Pohl, Klaus Turowski
Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective. ECIS (2020)
Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Ranjan Venkatesh, Stefan Willi Hart, Sascha Bosse, Klaus Turowski
Improving the Quality Validation of the ETL Process using Test Automation. AMCIS (2020)
Christian Daase, Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Klaus Turowski
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. ACIS (2020)
Matthias Volk, Daniel Staegemann, Naoum Jamous, Matthias Pohl, Klaus Turowski
Providing Clarity on Big Data Technologies: The BDTOnto Ontology. Int. J. Intell. Inf. Technol. 16 (2) (2020)
Tobias Altenburg, Sascha Bosse, Klaus Turowski
Safety in Distributed Sensor Networks: A Literature Review. IoTBDS (2020)
Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
Exploring the Specificities and Challenges of Testing Big Data Systems. SITIS (2019)
Daniel Staegemann, Johannes Hintsch, Klaus Turowski
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications. Wirtschaftsinformatik (2019)
Daniel Staegemann, Matthias Volk, Naoum Jamous, Klaus Turowski
Understanding Issues in Big Data Applications - A Multidimensional Endeavor. AMCIS (2019)
Daniel Staegemann, Matthias Volk, Christian Lucht, Christian Klie, Michael Hintze, Klaus Turowski
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises. BIS (2) (2019)
Abdulrahman Nahhas, Sascha Bosse, Matthias Pohl, Klaus Turowski
Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. CLOSER (2019)
Matthias Volk, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenging Big Data Engineering: Positioning of Current and Future Development. IoTBDS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Klaus Turowski