Deutschenglish

Matthias Volk

 Matthias Volk
Position:
Researcher, Coordination
Organisation:
AGWI, CVLBA, VLBA Lab
Phone:
+49 391 67-58389
Office:
G29 - 122

Curriculum vitae

Matthias Volk studied Business Informatics at the Faculty of Computer Science at the Otto-von-Guericke-University Magdeburg (OVGU) and earned his Master’s degree at the beginning of 2016. Since then, he has been employed as a scientific researcher concurrently pursuing the doctoral degree. During his studies, Mr. Volk gained lots of practical experience as a software developer in different companies, such as Volkswagen. During his scientific career, he participated in many international scientific congresses and projects, not only as a speaker but also as reviewer or session chair. His main research interest lies in the domain of data-intensive systems, related projects, technologies and the management of them.

Events

15.08.2019

Publications

2021
Haertel, C.; Pohl, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
In: International Journal of Organizational and Collective Intelligence 11(4); 35-54; 2021;
Häusler, R.; Tröger, M.; Staegemann, D. G.; Volk, M.; Turowski, K.
Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games
In: 13th International Conference on Computer Supported Education-Volume 1: CSEDU; 986-391; 2021;
Jamous, N.; Garttan, G.; Staegemann, D. G.; Volk, M.
Hybrid Project Management Methods Efficiency in IT Projects
In: AMCIS 2021; 2021;
Shakir, A.; Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
Towards a Concept for Building a Big Data Architecture with Microservices
In: 6th International Conference on Internet of Things, Big Data and Security-IoTBDS; 2021;
Staegemann, D. G.; Volk, M.; Shakir, A.; Lautenschläger, E.; Turowski, K.
Examining the Interplay Between Big Data and Microservices-A Bibliometric Review
In: Complex Systems Informatics and Modeling Quarterly; 2021;
Staegemann, D. G.; Volk, M.; Lautenschläger, E.; Pohl, M.; Abdallah, M.; Turowski, K.
Applying Test Driven Development in the Big Data Domain-Lessons From the Literature
In: International Conference on Information Technology (ICIT); 2021;
Staegemann, D. G.; Volk, M.; Pohl, M.; Häusler, R.; Nahhas, A.; Abdallah, M.; Turowski, K.
A Preliminary Overwiew of the Situation in Big Data Testing
In: 6th International Conference on Internet of Things, Big Data and Security-IoTBDS; 296-302; 2021;
Staegemann, D. G.; Volk, M.; Saxena, A.; Pohl, M.; Nahhas, A.; Häusler, R.; Abdallah, M.; Bosse, S.; Jamous, N.; Turowski, K.
Challenges in Data Acquisition and Management in Big Data Environments
In: 6th International Conference on Internet of Things, Big Data and Security-IoTBDS; 193-204; 2021;
Staegemann, D. G.; Volk, M.; Daase, C.; Pohl, M.; Turowski, K.
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations
In: ICICT (2) 2021; 281-289; 2021;
Volk, M.; Staegemann, D. G.; Bischoff, D.; Turowski, K.
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies
In: AMCIS 2021 Proceedings 10; 2021;
2020
Daase, C.; Staegemann, D. G.; Volk, M.; Nahhas, A.; Turowski, K.
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots
In: ACIS 2020 Proceedings 15; 2020;
Haertel, C.; Pohl, M.; Bosse, S.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models
In: Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,; 80-90; 2020;
Häusler, R.; Staegemann, D. G.; Volk, M.; Bosse, S.; Turowski, K.
Generating Content-Compliant Training Data in Big Data Education
In: Proceedings of the 12th International Conference on Computer Supported Education; 104-110; 2020;
Jamous, N.; Volk, M.; Barouga, M.; Ghnaim, F.; Turk, T.
Towards Smart Service Level Agreement (SSLA) Using Blockchain
In: PACIS 2020 Proceedings; 2020;
Pohl, M.; Hashaam, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Kramer, F.; Turowski, K.
Application of NLP to determine the State of Issues in Bug Tracking Systems
In: 2020 International Conference on Data Mining Workshops (ICDMW).IEEE; 53-61; 2020;
Staegemann, D. G.; Volk, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Turowski, K.
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; 453-460; 2020;
Staegemann, D. G.; Volk, M.; Hintsch, J.; Häusler, R.; Bosse, S.; Nahhas, A.; Pohl, M.; Turowski, K.
Classifying Big Data Taxonomies: A Systematic Literature Review
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security; 267-278; 2020;
Staegemann, D. G.; Volk, M.; Jamous, N.; Venkatesh, R.; Hart, S. W.; Bosse, S.; Turowski, K.
Improving the Quality Validation of the ETL Process using Test Automation
AMCIS; 2020;
Staegemann, D. G.; Volk, M.; Daase, C.; Turowski, K.
Discussing Relations Between Dynamic Business Environments and Big Data Analytics
In: Complex Systems Informatics and Modeling Quarterly; 58-82; 2020;
Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
Exploring the Applicability of Test Driven Development in the Big Data Domain
2020;
Volk, M.; Staegemann, D. G.; Turowski, K.
In: Springer Gabler, Wiesbaden (Hrsg.): Handbuch Digitale Wirtschaft; 1-18; Springer Gabler, Wiesbaden; 2020;
Volk, M.; Turowski, K.; Staegemann, D. G.; Bosse, S.
Approaching the (Big) Data Science Engineering Process
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,; 428-435; 2020;
Volk, M.; Staegemann, D. G.; Jamous, N.; Pohl, M.; Turowski, K.
Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In: International Journal of Intelligent Information Technologies; 49-73; 2020;
Volk, M.; Staegemann, D. G.; Nahhas, A.; Bosse, S.
Towards a Decision Support System for Big Data Projects
In: WI2020; 2020;
Volk, M.; Staegemann, D. G.; Trifonova, I.; Bosse, S.; Turowski, K.
Identifying Similarities of Big Data Projects–A Use Case Driven Approach
In: IEEE (Hrsg.): IEEE Access ( Volume: 8); 186599 - 186619; IEEE; 2020;
Volk, M.; Staegemann, D. G.; Turowski, K.
Big Data
Springer Gabler; Wiesbaden; 2020;
Volk, M.; Staegemann, D. G.; Prothmann, F.; Turowski, K.
Towards an Automatized Way for Modeling Big Data System Architectures
In: 23rd International Conference on Business Information Systems; 2020;
2019
Nahhas, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Turowski, K.
A holistic view of the server consolidation and virtual machines placement problems
In: 15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019; Sorrento, Italy; 2019;
Roberts, J.; Volk, M.; Neumann, R.; Turowski, K.
Machine Learning Techniques for Annotations of Large Financial Text Datasets.
In: 25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 201; 2019;
Staegemann, D. G.; Volk, M.; Turowski, K.
In: Handbuch Digitale Wirtschaft; 1-15; Springer; 2019;
Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
Understanding Issues in Big Data Applications - A Multidimensional Endeavor.
In: 25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 2019; 2019;
Staegemann, D. G.; Volk, M.; Nahhas, A.; Abdallah, M.; Turowski, K.
Exploring the Specificities and Challenges of Testing Big Data Systems
In: 15th International Conference on Signal Image Technology & Internet based Systems; 2019;
Volk, M.; Staegemann, D. G.; Pohl, M.; Turowski, K.
Challenging Big Data Engineering: Positioning of Current and Future Development
In: Proceedings of the 4th International Conference on Internet of Things, Big Data and Security; 257-268; 2019;
Volk, M.; Bosse, S.; Bischoff, D.; Turowski, K.
Decision-Support for Selecting Big Data Reference Architectures
In: Proceedings of the 22nd International Conference on Business Information Systems; 2019; 3-17; 2019;
Staegemann, D. G.; Volk, M.; Lucht, C.; Klie, C.; Hintze, M.; Turowski, K.
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises
In: Proceedings of the 22nd International Conference on Business Information Systems; 2019;
2018
Jamous, N.; Haertel, C.; Finkendei, M.; Volk, M.; Hintsch, J.
IT Operation Management A possibility in the flux of digitization Completed Research
In: Proceedings of the 24th Americas Conference on Information Systems (AMCIS); 1-10; AIS Electronic Library (AISeL); 2018;
Volk, M.; Jamous, N.
IT-Landscape Management in the Higher Educational Institutions
In: Proceedings of Sixth International Conference on Enterprise Systems; 211-216; IEEE; 2018;
Volk, M.; Pohl, M.; Turowski, K.
Classifying Big Data Technologies – An Ontology-based Approach
1-10; AIS Electronic Library (AISeL); 2018;
2017
Volk, M.; Jamous, N.; Turowski, K.
Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects
In: Association for Information Systems (Hrsg.): 23rd Americas Conference on Information Systems, {AMCIS} 2017, Boston, MA, USA, August 10-12, 2017; 2017;
Volk, M.; Shareef, A. E.; Jamous, N.; Turowski, K.
New E-Commerce User Interest Patterns
In: IEEE (Hrsg.): Proceedings 2017 IEEE International Congress on Big Data -BigData Congress-; 2017;
Volk, M.; Bosse, S.; Turowski, K.
Providing Clarity on Big Data Technologies: A Structured Literature Review
In: David Diaz, Yannis Manolopoulos, Babis Theodoulidis, Mohamed Zaki (Hrsg.): Proceedings 2017 IEEE 19th Conference on Business Informatics CBI 2017; IEEE; 2017;