@inbook{37704,
  author       = {{Ksouri-Gerwien, Christoph and Vorbohle, Christian}},
  booktitle    = {{Digitale Plattformen und Ökosysteme im B2B-Bereich}},
  editor       = {{Schallmo, D.R.A. and Kundisch, Dennis and Lang, K.}},
  publisher    = {{Springer Gabler}},
  title        = {{{Anwendung von System Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem}}},
  year         = {{2024}},
}

@article{34114,
  abstract     = {{Qualitative comparative analysis (QCA) enables researchers in international management to better understand how the impact of a single explanatory factor depends on the context of other factors. But the analytical toolbox of QCA does not include a parameter for the explanatory power of a single explanatory factor or “condition”. In this paper, we therefore reinterpret the Banzhaf power index, originally developed in cooperative game theory, to establish a goodness-of-fit parameter in QCA. The relative Banzhaf index we suggest measures the explanatory power of one condition averaged across all sufficient combinations of conditions. The paper argues that the index is especially informative in three situations that are all salient in international management and call for a context-sensitive analysis of single conditions, namely substantial limited diversity in the data, the emergence of strong INUS conditions in the analysis, and theorizing with contingency factors. The paper derives the properties of the relative Banzhaf index in QCA, demonstrates how the index can be computed easily from a rudimentary truth table, and explores its insights by revisiting selected papers in international management that apply fuzzy-set QCA. It finally suggests a three-step procedure for utilizing the relative Banzhaf index when the causal structure involves both contingency effects and configurational causation.
}},
  author       = {{Haake, Claus-Jochen and Schneider, Martin}},
  journal      = {{Journal of International Management}},
  keywords     = {{Qualitative comparative analysis, Banzhaf power index, causality, explanatory power}},
  number       = {{2}},
  publisher    = {{Elsevier}},
  title        = {{{Playing games with QCA: Measuring the explanatory power of single conditions with the Banzhaf index}}},
  volume       = {{30}},
  year         = {{2024}},
}

@article{56420,
  abstract     = {{There are a number of school choice problems in which students are heterogeneous according to the number of seats they occupy at the school they are assigned to. We propose a weighted school choice problem by assigning each student a so-called weight and formulate the weighted top trading cycles algorithm (WTTC) to find a matching. The WTTC is strategy-proof and results in a Pareto efficient matching. While the WTTC is a robust extension of the TTC when weights are introduced, it is no longer guaranteed that each student gets a seat at a school even if the overall capacity exceeds the sum of weights. Additionally, the WTTC introduces a trade-off between weights and priorities as a student with a higher weight has a disadvantage to be matched to a particular school compared to a student with the same schools’ priorities but a smaller weight.}},
  author       = {{Stroh-Maraun, Nadja}},
  issn         = {{0165-4896}},
  journal      = {{Mathematical Social Sciences}},
  keywords     = {{Matching, School choice, College admission problems, Top trading cycles, Pareto efficiency, Strategy-proofness}},
  pages        = {{49--56}},
  publisher    = {{Elsevier BV}},
  title        = {{{Weighted school choice problems and the weighted top trading cycles mechanism}}},
  doi          = {{10.1016/j.mathsocsci.2024.09.001}},
  volume       = {{132}},
  year         = {{2024}},
}

@misc{56613,
  author       = {{Rode, Christoph}},
  title        = {{{Eine empirische Untersuchung von Business-to-Business Online-Bewertung}}},
  year         = {{2024}},
}

@inbook{53942,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Since its inception two decades ago, <jats:sc>Soot</jats:sc> has become one of the most widely used open-source static analysis frameworks. Over time it has been extended with the contributions of countless researchers. Yet, at the same time, the requirements for <jats:sc>Soot</jats:sc> have changed over the years and become increasingly at odds with some of the major design decisions that underlie it. In this work, we thus present <jats:sc>SootUp</jats:sc>, a complete reimplementation of <jats:sc>Soot</jats:sc> that seeks to fulfill these requirements with a novel design, while at the same time keeping elements that <jats:sc>Soot</jats:sc> users have grown accustomed to.</jats:p>}},
  author       = {{Karakaya, Kadiray and Schott, Stefan and Klauke, Jonas and Bodden, Eric and Schmidt, Markus and Luo, Linghui and He, Dongjie}},
  booktitle    = {{Tools and Algorithms for the Construction and Analysis of Systems}},
  isbn         = {{9783031572456}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{SootUp: A Redesign of the Soot Static Analysis Framework}}},
  doi          = {{10.1007/978-3-031-57246-3_13}},
  year         = {{2024}},
}

@inproceedings{57550,
  author       = {{Schott, Stefan and Ponta, Serena Elisa and Fischer, Wolfram and Klauke, Jonas and Bodden, Eric}},
  booktitle    = {{38th European Conference on Object-Oriented Programming (ECOOP 2024)}},
  location     = {{Vienna}},
  title        = {{{Java Bytecode Normalization for Code Similarity Analysis}}},
  doi          = {{10.4230/LIPIcs.ECOOP.2024.37}},
  year         = {{2024}},
}

@phdthesis{47833,
  author       = {{König, Jürgen}},
  title        = {{{On the Membership and Correctness Problem for State Serializability and Value Opacity}}},
  year         = {{2023}},
}

@phdthesis{47837,
  author       = {{Hansmeier, Tim}},
  title        = {{{XCS for Self-awareness in Autonomous Computing Systems}}},
  year         = {{2023}},
}

@article{35852,
  author       = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}},
  journal      = {{MIS Quarterly}},
  number       = {{4}},
  pages        = {{1709--1726}},
  title        = {{{Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distances Between Sentiment Negativity and Rating}}},
  volume       = {{47}},
  year         = {{2023}},
}

@article{50458,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Consider a set of jobs connected to a directed acyclic task graph with a fixed source and sink. The edges of this graph model precedence constraints and the jobs have to be scheduled with respect to those. We introduce the server cloud scheduling problem, in which the jobs have to be processed either on a single local machine or on one of infinitely many cloud machines. For each job, processing times both on the server and in the cloud are given. Furthermore, for each edge in the task graph, a communication delay is included in the input and has to be taken into account if one of the two jobs is scheduled on the server and the other in the cloud. The server processes jobs sequentially, whereas the cloud can serve as many as needed in parallel, but induces costs. We consider both makespan and cost minimization. The main results are an FPTAS for the makespan objective for graphs with a constant source and sink dividing cut and strong hardness for the case with unit processing times and delays.</jats:p>}},
  author       = {{Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}},
  issn         = {{0178-4617}},
  journal      = {{Algorithmica}},
  keywords     = {{Applied Mathematics, Computer Science Applications, General Computer Science}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Server Cloud Scheduling}}},
  doi          = {{10.1007/s00453-023-01189-x}},
  year         = {{2023}},
}

@inproceedings{50460,
  author       = {{Deppert, Max A. and Jansen, Klaus and Maack, Marten and Pukrop, Simon and Rau, Malin}},
  booktitle    = {{2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}},
  publisher    = {{IEEE}},
  title        = {{{Scheduling with Many Shared Resources}}},
  doi          = {{10.1109/ipdps54959.2023.00049}},
  year         = {{2023}},
}

@misc{42958,
  author       = {{Krocker, Thomas}},
  title        = {{{Der Einfluss von Verkäuferbewertungen auf die Kaufentscheidung - Ein systematischer Literaturüberblick}}},
  year         = {{2023}},
}

@misc{43110,
  author       = {{Seckin, Aliye Büsra}},
  title        = {{{Business-Ökosystem Intelligence - Ein systematischer Literaturüberblick}}},
  year         = {{2023}},
}

@misc{41878,
  author       = {{Müller, Tobias Sören}},
  title        = {{{Eine empirische Untersuchung von Business-to-Business Online Bewertungen}}},
  year         = {{2023}},
}

@misc{45367,
  author       = {{Okumus, Hasan}},
  title        = {{{Greta’s Gonna Wake Them Up? – An Empirical Analysis of the Im-pact of Greta Thunberg’s Global Climate Strike on Donations for Environmental Charitable Crowdfunding Campaings}}},
  year         = {{2023}},
}

@misc{45400,
  author       = {{Schick, Andrej}},
  title        = {{{Ein konzeptioneller Vergleich zur Unterscheidung von digitalen Plattformen und Ökosystemen}}},
  year         = {{2023}},
}

@article{46492,
  author       = {{Seutter, Janina and Kutzner, K. and Stadtländer, M. and Kundisch, Dennis and Knackstedt,  R.}},
  journal      = {{Electronic Markets}},
  number       = {{1}},
  pages        = {{47}},
  title        = {{{“Sorry, Too Much Information”. Designing Online Review Systems that Support Information Search and Processing}}},
  volume       = {{33}},
  year         = {{2023}},
}

@inproceedings{45913,
  author       = {{Clausing, Lennart and Guetattfi, Zakarya and Kaufmann, Paul and Lienen, Christian and Platzner, Marco}},
  booktitle    = {{Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC)}},
  title        = {{{On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconOS64}}},
  doi          = {{https://doi.org/10.1007/978-3-031-42921-7_17}},
  year         = {{2023}},
}

@article{53801,
  abstract     = {{In this study, we evaluate the impact of gender-biased data from German-language physician reviews on the fairness of fine-tuned language models. For two different downstream tasks, we use data reported to be gender biased and aggregate it with annotations. First, we propose a new approach to aspect-based sentiment analysis that allows identifying, extracting, and classifying implicit and explicit aspect phrases and their polarity within a single model. The second task we present is grade prediction, where we predict the overall grade of a review on the basis of the review text. For both tasks, we train numerous transformer models and evaluate their performance. The aggregation of sensitive attributes, such as a physician’s gender and migration background, with individual text reviews allows us to measure the performance of the models with respect to these sensitive groups. These group-wise performance measures act as extrinsic bias measures for our downstream tasks. In addition, we translate several gender-specific templates of the intrinsic bias metrics into the German language and evaluate our fine-tuned models. Based on this set of tasks, fine-tuned models, and intrinsic and extrinsic bias measures, we perform correlation analyses between intrinsic and extrinsic bias measures. In terms of sensitive groups and effect sizes, our bias measure results show different directions. Furthermore, correlations between measures of intrinsic and extrinsic bias can be observed in different directions. This leads us to conclude that gender-biased data does not inherently lead to biased models. Other variables, such as template dependency for intrinsic measures and label distribution in the data, must be taken into account as they strongly influence the metric results. Therefore, we suggest that metrics and templates should be chosen according to the given task and the biases to be assessed. }},
  author       = {{Kersting, Joschka and Maoro, Falk and Geierhos, Michaela}},
  issn         = {{0169-023X}},
  journal      = {{Data & Knowledge Engineering}},
  keywords     = {{Language model fairness, Aspect phrase classification, Grade prediction, Physician reviews}},
  publisher    = {{Elsevier}},
  title        = {{{Towards comparable ratings: Exploring bias in German physician reviews}}},
  doi          = {{10.1016/j.datak.2023.102235}},
  volume       = {{148}},
  year         = {{2023}},
}

@inbook{45888,
  author       = {{Wehrheim, Heike and Platzner, Marco and Bodden, Eric and Schubert, Philipp  and Pauck, Felix and Jakobs, Marie-Christine}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{125--144}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Verifying Software and Reconfigurable Hardware Services}}},
  doi          = {{10.5281/zenodo.8068583}},
  volume       = {{412}},
  year         = {{2023}},
}