@article{42179,
  author       = {{Burmeister, Sascha Christian and Schryen, Guido}},
  journal      = {{Energy Systems}},
  publisher    = {{Springer}},
  title        = {{{Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators}}},
  doi          = {{10.1007/s12667-023-00572-5}},
  year         = {{2023}},
}

@inproceedings{44444,
  author       = {{Althaus, Maike and Müller, Michelle and Vorbohle, Christian and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the International Conference on Challenges in Managing Smart Products and Services (CHIMSPAS 2023)}},
  location     = {{Bielefeld}},
  title        = {{{Business Models for Cultural Event Platforms  –  A Taxonomy Approach}}},
  year         = {{2023}},
}

@inproceedings{44053,
  author       = {{Laux, Florian and Poniatowski, Martin and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 31st European Conference on Information Systems (ECIS)}},
  location     = {{Kristiansand, Norway}},
  title        = {{{May I have your Attention, please? – The Interaction between Attention Screening and Reputation on Crowdworking Platforms}}},
  year         = {{2023}},
}

@inproceedings{44855,
  abstract     = {{Market transactions are subject to information asymmetry about the delivered value proposition, causing transaction costs and adverse market effects among buyers and sellers. Information systems research has investigated how review systems can reduce information asymmetry in business-to-consumer markets. However, these systems cannot be readily applied to business-to-business markets, are vulnerable to manipulation, and suffer from conceptual weak spots since they use textual data or star ratings. Building on design science research, we conceptualize a new class of reputation systems based on monetary-based payments as quantitative ratings for each transaction stored on a blockchain. Using cryptography, we show that our system assures content confidentiality so that buyers can share and sell their ratings selectively, establishing a reputation ecosystem. Our prescriptive insights advance the design of reputation systems and offer new paths to understanding the antecedents, dynamics, and consequences to reduce information asymmetry in B2B transactions.}},
  author       = {{Hemmrich, Simon and Bobolz, Jan and Beverungen, Daniel and Blömer, Johannes}},
  booktitle    = {{ECIS 2023 Research Papers}},
  title        = {{{Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain}}},
  year         = {{2023}},
}

@inproceedings{43027,
  author       = {{Seutter, Janina and Bartelheimer, Christian and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 18th International Conference on Design Science Research in Information Systems and Technology}},
  location     = {{Pretoria, South Africa}},
  title        = {{{Supporting Innovation through B2B Reviews – A Taxonomy of B2B Online Review Environments}}},
  year         = {{2023}},
}

@inproceedings{40063,
  author       = {{Jabr, Wael and Gutt, Dominik and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 45th ISMS Marketing Science Conference}},
  location     = {{Miami, USA}},
  title        = {{{Updating at the Expense of Demand? The Case of Platform Apps}}},
  year         = {{2023}},
}

@article{45299,
  abstract     = {{Many applications are driven by Machine Learning (ML) today. While complex ML models lead to an accurate prediction, their inner decision-making is obfuscated. However, especially for high-stakes decisions, interpretability and explainability of the model are necessary. Therefore, we develop a holistic interpretability and explainability framework (HIEF) to objectively describe and evaluate an intelligent system’s explainable AI (XAI) capacities. This guides data scientists to create more transparent models. To evaluate our framework, we analyse 50 real estate appraisal papers to ensure the robustness of HIEF. Additionally, we identify six typical types of intelligent systems, so-called archetypes, which range from explanatory to predictive, and demonstrate how researchers can use the framework to identify blind-spot topics in their domain. Finally, regarding comprehensiveness, we used a random sample of six intelligent systems and conducted an applicability check to provide external validity.}},
  author       = {{Kucklick, Jan-Peter}},
  issn         = {{1246-0125}},
  journal      = {{Journal of Decision Systems}},
  keywords     = {{Explainable AI (XAI), machine learning, interpretability, real estate appraisal, framework, taxonomy}},
  pages        = {{1--41}},
  publisher    = {{Taylor & Francis}},
  title        = {{{HIEF: a holistic interpretability and explainability framework}}},
  doi          = {{10.1080/12460125.2023.2207268}},
  year         = {{2023}},
}

@inproceedings{45365,
  author       = {{Laux, Florian and Haff, André and Kundisch, Dennis}},
  location     = {{Kristiansand, Norway}},
  title        = {{{Crowdwork in the Age of Algorithms – How Algorithmic Requesters affect the Meaningfulness of Crowdwork}}},
  year         = {{2023}},
}

@article{44361,
  author       = {{Schryen, Guido and Sperling, Martina}},
  journal      = {{Computers & Operations Research}},
  number       = {{September}},
  title        = {{{Literature Reviews in Operations Research: A New Taxonomy and a Meta Review}}},
  volume       = {{157}},
  year         = {{2023}},
}

@article{44383,
  author       = {{Dieter, Peter and Caron, Matthew and Schryen, Guido}},
  journal      = {{European Journal of Operational Research (EJOR)}},
  number       = {{1}},
  pages        = {{283--300}},
  title        = {{{Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework}}},
  doi          = {{https://doi.org/10.1016/j.ejor.2023.04.043}},
  volume       = {{311}},
  year         = {{2023}},
}

@inbook{45897,
  author       = {{Gottschalk, Sebastian and Vorbohle, Christian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nacy V.}},
  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        = {{203--224}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Architectural Management of OTF Computing Markets}}},
  doi          = {{10.5281/zenodo.8068691}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45878,
  author       = {{Haake, Claus-Jochen and Hehenkamp, Burkhard and Polevoy, Gleb}},
  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        = {{21--44}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{The Market for Services: Incentives, Algorithms, Implementation}}},
  doi          = {{10.5281/zenodo.8068414}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45880,
  author       = {{Elrich, Alina and Kaimann, Daniel and Fahr, René and Kundisch, Dennis and Mir Djawadi, Behnud and Müller, Michelle and Poniatowski, Martin and Schäfers, Sabrina and Frick, Bernd}},
  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        = {{45--64}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Empirical Analysis in Markets for OTF Services}}},
  doi          = {{10.5281/zenodo.8068430}},
  volume       = {{412}},
  year         = {{2023}},
}

@article{45816,
  author       = {{Dieter, Peter and Stumpe, Miriam and Ulmer, Marlin Wolf and Schryen, Guido}},
  journal      = {{Transportation Research Part D}},
  title        = {{{Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing}}},
  volume       = {{121}},
  year         = {{2023}},
}

@article{46471,
  author       = {{Unterstell, Rembert}},
  journal      = {{german research – Magazine of the Deutsche Forschungsgemeinschaft}},
  number       = {{1}},
  pages        = {{8--11}},
  title        = {{{„Allowing the Economy to Breathe Even During the Crisis“ – Interview with Tax Expert Caren Sureth-Sloane}}},
  year         = {{2023}},
}

@techreport{46491,
  author       = {{Kundisch, Dennis}},
  pages        = {{12--13}},
  title        = {{{#DIGITALENTS - Digital Talents Programm geht in die zweite Runde}}},
  volume       = {{1}},
  year         = {{2023}},
}

@article{45656,
  author       = {{Kempkes, J. P. and Kreuzhage, K. and Kundisch, Dennis and Seutter, Janina and Weskamp, Christoph}},
  journal      = {{Kultur Management Network Magazin}},
  title        = {{{Digitale Transformation im Theater – Mittels Besucherforschung und Entscheidungsunterstützung zur besseren Angebotsgestaltung}}},
  volume       = {{172}},
  year         = {{2023}},
}

@techreport{46534,
  abstract     = {{We study the effect of education on health (hospital stays, number of diagnosed conditions, self-rated poor health, and obesity) over the life-cycle in Germany, using compulsory schooling reforms as a source of exogenous variation. Our results suggest a positive correlation of health and education which increases over the life-cycle. We do not, however, find any positive local average treatment effects of an additional year of schooling on health or health care utilization for individuals up to age 79. An exception is obesity, where positive effects of schooling start to be visible around age 60 and become very large in age group 75-79. The results in age group 75-79 need to be interpreted with caution, however, due to small sample size and possible problems of attrition.}},
  author       = {{Schmitz, Hendrik and Tawiah, Beatrice Baaba}},
  keywords     = {{Education, health, life-cycle effects, compulsory schooling}},
  publisher    = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}},
  title        = {{{Life-cycle health effects of compulsory schooling}}},
  volume       = {{1006}},
  year         = {{2023}},
}

@techreport{46521,
  author       = {{Freise, Diana and Schiele, Valentin and Schmitz, Hendrik}},
  issn         = {{1556-5068}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Housing Situations and Local COVID-19 Infection Dynamics – A Case Study With Small-Area Data}}},
  doi          = {{10.2139/ssrn.4372490}},
  year         = {{2023}},
}

@techreport{46536,
  abstract     = {{We study the effect of education on vaccination against COVID-19 and influenza in Germany and Europe. Our identification strategy makes use of changes in compulsory schooling laws and allows to estimate local average treatment effects for individuals between 59 and 91 years of age. We find no significant effect of an additional year of schooling on vaccination status in Germany. Pooling data from Europe, we conclude that schooling increases the likelihood to vaccinate against COVID by an economically negligible effect of one percentage point (zero for influenza). However, we find indications that additional schooling increases fear of side effects from COVID vaccination.}},
  author       = {{Monsees, Daniel and Schmitz, Hendrik}},
  keywords     = {{COVID, influenza, vaccination, education, compulsory schooling}},
  publisher    = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}},
  title        = {{{The effect of compulsory schooling on vaccination against COVID and Influenza}}},
  volume       = {{1011}},
  year         = {{2023}},
}