Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers
M. Goller, C. Caruso, C. Harteis, International Journal for Research in Vocational Education and Training 8 (2021) 208–223.

Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements
I. Gräßler, D. Wiechel, in: D. Krause, K. Paetzold, S. Wartzack (Eds.), DS 111: Proceedings of the 32nd Symposium Design for X, 2021.

V-model based development of cyber-physical systems and cyber-physical production systems
I. Gräßler, D. Wiechel, D. Roesmann, H. Thiele, in: Procedia CIRP, 2021, pp. 253–258.

Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.

Rule-based Diagnostics of a Production Line
O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P. Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021, pp. 527–536.

An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
U. Qudus, M. Saleem, A.-C. Ngonga Ngomo, Y.-K. Lee, Semantic Web 12 (n.d.) 843–868.

ProConAR: A Tool Support for Model-based AR Product Configuration
S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020.

Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs
D. Schroder, S. Lange, C. Hangmann, C. Hedayat, in: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed.,  The Institution of Engineering and Technology (IET), Croyton, UK, 2020, pp. 315-346 (32).

Hypothesis-driven Adaptation of Business Models based on Product Line Engineering
S. Gottschalk, F. Rittmeier, G. Engels, in: Proceedings of the 22nd IEEE International Conference on Business Informatics, IEEE, 2020.

Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs
S. Gottschalk, E. Yigitbas, G. Engels, in: B. Shishkov (Ed.), Business Modeling and Software Design, Springer International Publishing, 2020, pp. 276–286.

Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre
G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.

Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.

Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model
M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes 1 (2020).

A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field
G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46 (2020) 134–186.

Absolute Rheological Measurements of Model Suspensions: Influence and Correction of Wall Slip Prevention Measures
S. Pawelczyk, M. Kniepkamp, S. Jesinghausen, H.-J. Schmid, Materials (2020).

Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
J. Bossek, C. Doerr, P. Kerschke, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 778–786.

Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.

Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture
T. Schmiedel, O. Müller, J. vom Brocke, Organizational Research Methods (2019) 941--968.

Can stimuli improve business model idea generation? Developing software-based tools for business model innovation
D. Szopinski, in: Proceedings of the ACM Creativity &; Cognition, 2019.

Squaring the circle: Business model teaching in large classroom settings
D. Szopinski, Journal of Business Models 7 (2019) 90–100.