L. Özcan, L. Kirchberg, C. Koldewey, and R. Dumitrescu, “Performance Management Approach for Digital Platforms in B Markets,” in The Role of Innovation: Past, Present, Future, Athens, 2022.

M.-T. Berg, A. Herberg, and D. Kuckling, “Hyphenation of ultra-high-performance liquid chromatography and ion mobility mass spectrometry for the analysis of sequence-defined oligomers with different functionalities and tacticity,”10.1080/1023666x.2022.2100968__International Journal of Polymer Analysis and Characterization, pp. 1–12, 2022, doi:10.1080/1023666x.2022.2100968 .

T. F. Auer, “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie,”http://doi.org/10.3278/HSL2248W__die hochschullehre, vol. 8, no. 1, pp. 662–675, 2022, doi:http://doi.org/10.3278/HSL2248W .

J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,”10.1007/978-3-031-14714-2_14__in Parallel Problem Solving from Nature (PPSN XVII), 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14 .

S. Krauter and J. Bendfeld, “Module-Inverters (Microinverters): Influence of Module Size on Conversion Efficiencies and Energy Yields,”10.4229/EUPVSEC20212021-4CO.3.4__in Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2021), 2021, pp. 659–663, doi:10.4229/EUPVSEC20212021-4CO.3.4 .

S. Krauter and J. Bendfeld, “Elevated Temperatures Affecting Efficiency, Overall Performance and Energy Yield of PV Microinverters,”10.4229/EUPVSEC20202020-4AV.3.6__in Proceedings of the EU PVSEC 2020 , online, 2020, pp. 1179–1180, doi:10.4229/EUPVSEC20202020-4AV.3.6 .

J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, p. 105901, 2020, doi:https://doi.org/10.1016/j.asoc.2019.105901 .

J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901 .

N. Hüther, D. T. Robinson, S. Sievers, and T. Hartmann-Wendels, “Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships,” Management Science (VHB-JOURQUAL 3 Ranking A+), vol. 66, no. 4, pp. 1756–1782, 2019.

G. Rauchecker and G. Schryen, “Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm,” Computers &; Operations Research, no. 104, pp. 338–357, 2019.

B. Hippert, A. Uhde, and S. T. Wengerek, “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe,”https://doi.org/10.1007/s11147-018-9148-8__Review of Derivatives Research , vol. 22, no. 2, pp. 203–259, 2019, doi:https://doi.org/10.1007/s11147-018-9148-8 .

J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time,”10.1007/978-3-030-05348-2_19__in Learning and Intelligent Optimization, 2019, pp. 215–219, doi:10.1007/978-3-030-05348-2_19 .

J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,”10.1145/3205651.3208312__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018, pp. 1350–1356, doi:10.1145/3205651.3208312 .

P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,”10.1145/3205651.3208233__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233 .

P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,”10.1162/evco_a_00215__Evolutionary Computation, vol. 26, no. 4, pp. 597–620, 2018, doi:10.1162/evco_a_00215 .

N. Hüther, D. Robinson, S. Sievers, and T. Hartmann-Wendels, “Paying for Performance in Private Equity: Evidence from VC Partnerships,” SSRN Electronic Journal, 2017.

Z. Guettatfi, P. Hübner, M. Platzner, and B. Rinner, “Computational self-awareness as design approach for visual sensor nodes,” in 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

G. Rauchecker and G. Schryen, “High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic,” in Australasian Conference on Information Systems, 2015, pp. 1–13.

E. Breugelmans et al., “Advancing Research on Loyalty Programs: A Future Research Agenda.,” Marketing Letters, vol. 26, no. 2, pp. 127–139, 2015.

N. Ho, P. Kaufmann, and M. Platzner, “A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms,” in 24th Intl. Conf. on Field Programmable Logic and Applications (FPL), 2014, pp. 1–4.