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6 Publications


2022 | Journal Article | LibreCat-ID: 48878
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi: 10.3390/app12189094.
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 17156
D. Beverungen et al., “Seven Paradoxes of Business Process Management in a Hyper-Connected World,” Business & Information Systems Engineering, vol. 63, pp. 145–156, 2020, doi: 10.1007/s12599-020-00646-z.
LibreCat | Files available | DOI
 

2018 | Journal Article | LibreCat-ID: 5910
B. Heinemann et al., “Drafting a Data Science Curriculum for Secondary Schools,” Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling ’18, no. 17, pp. 1–5, 2018.
LibreCat | DOI
 

2016 | Journal Article | LibreCat-ID: 4689
O. Müller, I. Junglas, J. vom Brocke, and S. Debortoli, “Utilizing big data analytics for information systems research: Challenges, promises and guidelines,” European Journal of Information Systems, no. 4, pp. 289--302, 2016.
LibreCat | DOI
 

2014 | Journal Article | LibreCat-ID: 4695
S. Debortoli, O. Müller, and J. vom Brocke, “Comparing business intelligence and big data skills: A text mining study using job advertisements,” Business and Information Systems Engineering, no. 5, pp. 289--300, 2014.
LibreCat | DOI
 

2014 | Journal Article | LibreCat-ID: 4696
J. vom Brocke, S. Debortoli, N. Reuter, and O. Müller, “How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti,” Communications of the Association for Information Systems, pp. 151--167, 2014.
LibreCat | DOI
 

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