Deutschenglish

Matthias Volk

 Matthias Volk
Tätigkeitsbezeichnung:
Wissenschaftler, Koordination
Organisation:
AGWI, CVLBA, VLBA Lab
Telefon:
+49 391 67-58389
Büro:
G29 - 122

Curriculum Vitae

Matthias Volk studierte Wirtschaftsinformatik an der Otto-von-Guericke-Universität Magdeburg und erlangte Anfang 2016 einen Master-Abschluss an der Fakultät für Informatik.  Seit diesem Zeitpunkt unterstützt Herr Volk als wissenschaftlicher Mitarbeiter die Arbeitsgruppe Wirtschaftsinformatik bei dem er parallel seine Promotion verfolgt. Praktische Erfahrungen konnte Herr Volk bereits während seines Studiums als Softwareentwickler in verschiedenen Unternehmen, wie beispielsweise der Volkswagen AG, sammeln. Während der Zeit seiner wissenschaftlichen Karriere nahm er zudem an zahlreichen internationalen und wissenschaftlichen Kongressen und Projekten teil, bei denen er nicht nur als Redner und Rezensent, sondern auch als Sitzungsleiter wirkte. Sein Forschungsinteresse liegt vor allem im Bereich von daten-intensiven Systemen, verwandten Projekte und Technologien, sowie deren Management.

Events

15.08.2019

Wissenschaftliche Artikel

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.; 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.; 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.; Jamous, N.; Venkatesh, R.; Hart, S. W.; Bosse, S.; Turowski, K.
Improving the Quality Validation of the ETL Process using Test Automation
In: AMCIS (Hrsg.): AMCIS 2020 Proceedings; 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.; 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.; 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.; 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.; 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;
Staegemann, D. G.; Volk, M.; Turowski, K.
Mobile Procurement Management
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: 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;