Paul Drews
Prof. Dr.
- Business informatics
Research areas
- Published
Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector
Schmidt, J., Drews, P. & Schirmer, I., 01.01.2018, Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. Bui, T. X. (ed.). University of Hawaii at Manoa, p. 5004-5013 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2018-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Charting the Emerging Business Ecosystem of Fintechs and Banks: Seven Types of Collaborative Business Models
Schmidt, J., Drews, P. & Schirmer, I., 2018, Twenty-Sixth European Conference on Information Systems (ECIS2018), Portsmouth,UK, 2018. Portsmouth: University of Portsmouth, 15 p. 1592. (Research Papers; vol. 104).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Branchenspezifische IT-Innovationssysteme: Von der Analyse zur Intervention - Am Beispiel des IT-Innovationssystems für Krankenhäuser in Deutschland
Drews, P., 2013, Ausgezeichnete Informatikdissertationen 2012. Bonn: Gesellschaft für Informatik e.V., Vol. D-13. p. 51-60 10 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Bimodal IT: Business-IT alignment in the age of digital transformation
Horlach, B., Drews, P. & Schirmer, I., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. III. p. 1417-1428 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Bimodal Enterprise Architecture Management: The emergence of a new EAM function for a BizDevOps-based fast IT
Drews, P., Schirmer, I., Horlach, B. & Tekaat, C., 02.11.2017, Proceedings - 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2017: 10–13 October 2017 Quebec City, Quebec, Canada, Proceedings. Lapalme, J., Halle, S. & Dijkman, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 57-64 8 p. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; vol. 2017-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Berufsprofile in der IT-Beratung: Ergebnisse einer Auswertung von Anforderungen und Tätigkeiten in Stellenanzeigen
Drews, P., 2012, Multikonferenz Wirtschaftsinformatik 2012: Tagungsband der MKWI 2012. Mattfeld, D. C. & Robra-Bissantz, S. (eds.). Berlin: GITO mbH Verlag, p. 357-367 11 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie: Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas
Schmidt, J. & Drews, P., 2016, Multikonferenz Wirtschaftsinformatik (MKWI) 2016 . Nissen, V., Stelzer, D., Straßburger, S. & Fischer, D. (eds.). Universitätsverlag Ilmenau - ilmedia, Vol. II. p. 967-978 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie
Schmidt, J. & Drews, P., 2016, In: Banking and Information Technology. 17, 1, p. 9-18 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A Reference Model for Data-driven Business Model Innovation Initiatives in Incumbent Firms
Rashed, F., Drews, P. & Zaki, M., 2022, ECIS 2022 proceedings. AIS eLibrary, 15 p. 1873. (ECIS 2022 research papers; no. 156).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review