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Deutschenglish

Matthias Volk

Position:
Researcher
Organisation:
AGWI
Email:
matthias.volk@ovgu.de
Phone:
+49 391 67-58389
Office:
G29 - 122

Curriculum vitae

Matthias Volk (born in 1991, Magdeburg) studied business informatics at the Otto-von-Guericke University Magdeburg and achieved early in 2016 a master's degree at the Faculty of computer science. Since 2016, he supports the business informatics group of the Faculty of Informatics at the Otto-von-Guericke University as a researcher. During his studies he gained practical experience not only through the participation in various projects but also during his many years of employment at the Volkswagen AG. His research interests include Big Data technologies, as well as its capabilities and potential applications.

Projects

INternationaliSation of master Programs In Russia and China in Electrical engineering

Publications

2019
Staegemann, D. G.; Volk, M.; Turowski, K.
In: Handbuch Digitale Wirtschaft; 1-15; Springer; 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: BIS 2019: Business Information Systems; 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;
2016
Volk, M.; Hart, S. W.; Bosse, S.; Turowski, K.
How much is Big Data? A Classification Framework for IT Projects and Technologies
In: Proceedings of the 22nd Americas Conference on Information Systems (AMCIS); AIS; 2016;
Jamous, N.; Hart, S. W.; Volk, M.; Turowski, K.
The I-ID: an IT Solution to Supplement Conventional Identification Cards - The Air Transportation Systems Use Case
In: IEEE (Hrsg.): Proceedings of the 4th International Conference on Enterprise Systems (ES2016; 2016;