L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,”10.3390/app12189094__Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi:10.3390/app12189094 .

D. Beverungen et al., “Seven Paradoxes of Business Process Management in a Hyper-Connected World,”10.1007/s12599-020-00646-z__Business &; Information Systems Engineering, vol. 63, pp. 145–156, 2020, doi:10.1007/s12599-020-00646-z .

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.

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.

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.

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.