@inproceedings{48280,
  author       = {{Schütze, Christian and Lammert, Olesja and Richter, Birte and Thommes, Kirsten and Wrede, Britta}},
  booktitle    = {{Artificial Intelligence in HCI}},
  title        = {{{Emotional Debiasing Explanations for Decisions in HCI}}},
  doi          = {{10.1007/978-3-031-35891-3_20}},
  year         = {{2023}},
}

@inproceedings{35893,
  author       = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 56th Conference on System Sciences}},
  title        = {{{Location-Based Service and Location-Contextualizing Service: Conceptualizing the Co-creation of Value with Location Information}}},
  year         = {{2023}},
}

@inproceedings{33488,
  author       = {{Ksouri-Gerwien, C. and Vorbohle, Christian}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Supporting Business Model Decision-making in B2B Ecosystems: A Framework for Using System Dynamics}}},
  year         = {{2023}},
}

@article{41192,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We examine distortions caused by tax base allocation systems–separate accounting (SA) or formula apportionment (FA)–with respect to the allocation of assets and workforce within multinational entities (MNEs). The effects of both systems are intensively debated by EU Member States as they are striving to implement a European tax system. Its introduction would lead to a switch from SA to FA. Moreover, Pillar One of the recent global tax reform includes a mix of both tax base allocation systems. We find that, against the claims of the EU, FA does not necessarily create lower distortions of the factor allocation. Decisive for that assessment is the level of profit shifting under SA. Our results indicate that, in tendency, the factor allocation is more severely distorted by FA when the profit shifting possibilities were rather low under SA. In contrast to former studies, we highlight the importance of analyzing the status quo under the recently applied system (SA) in order to be able to assess the consequences of a switch from SA to FA. Our results are interesting for policy-makers as they help anticipating reactions of MNEs to a change in the applied tax base allocation system and for companies as a basis for future tax planning.</jats:p>}},
  author       = {{Ortmann, Regina and Pummerer, Erich}},
  issn         = {{0044-2372}},
  journal      = {{Journal of Business Economics}},
  keywords     = {{Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Distortional effects of separate accounting and formula apportionment on factor allocation}}},
  doi          = {{10.1007/s11573-022-01133-5}},
  year         = {{2023}},
}

@article{42638,
  abstract     = {{<jats:p> We propose a new method to estimate and isolate the localization of knowledge spillovers due to the physical presence of a person, using after-application but pre-grant deaths of differently located coinventors of the same patent. The approach estimates the differences in local citations between the deceased and still-living inventors at increasingly distant radii. Patents receive 26 percent fewer citations from within a radius of 20 miles around the deceased, relative to still-living coinventors. Differences attenuate with time and distance, are stronger when still-living coinventors live farther from the deceased, and hold for a subsample of possibly premature deaths. (JEL O31, O33, O34, R32) </jats:p>}},
  author       = {{Balsmeier, Benjamin and Fleming, Lee and Lück, Sonja}},
  issn         = {{2640-205X}},
  journal      = {{American Economic Review: Insights}},
  keywords     = {{Management, Monitoring, Policy and Law, Geography, Planning and Development}},
  number       = {{1}},
  pages        = {{21--33}},
  publisher    = {{American Economic Association}},
  title        = {{{Isolating Personal Knowledge Spillovers: Coinventor Deaths and Spatial Citation Differentials}}},
  doi          = {{10.1257/aeri.20210275}},
  volume       = {{5}},
  year         = {{2023}},
}

@misc{43058,
  author       = {{Tiessen, Michelle}},
  title        = {{{Zur Effektivität des europäischen Kronzeugenprogramms - Der Fall des LKW-Kartells}}},
  year         = {{2023}},
}

@article{44092,
  abstract     = {{We study how competition between physicians affects the provision of medical care. In
our theoretical model, physicians are faced with a heterogeneous patient population, in which patients
systematically vary with regard to both their responsiveness to the provided quality of care and their
state of health. We test the behavioral predictions derived from this model in a controlled laboratory
experiment. In line with the model, we observe that competition significantly improves patient benefits
as long as patients are able to respond to the quality provided. For those patients, who are not able
to choose a physician, competition even decreases the patient benefit compared to a situation without
competition. This decrease is in contrast to our theoretical prediction implying no change in benefits for
passive patients. Deviations from patient-optimal treatment are highest for passive patients in need of
a low quantity of medical services. With repetition, both, the positive effects of competition for active
patients as well as the negative effects of competition for passive patients become more pronounced. Our
results imply that competition can not only improve but also worsen patient outcome and that patients’
responsiveness to quality is decisive.}},
  author       = {{Brosig-Koch, Jeannette and Hehenkamp, Burkhard and Kokot, Johanna}},
  journal      = {{Health Economics}},
  keywords     = {{physician competition, patient characteristics, heterogeneity in quality responses, fee-for-service, laboratory experiment}},
  title        = {{{Who benefits from quality competition in health care? A theory and a laboratory experiment on the relevance of patient characteristics}}},
  doi          = {{10.1002/hec.4689}},
  year         = {{2023}},
}

@techreport{44093,
  abstract     = {{We consider a model where for-profit providers compete in quality in a price-regulated market that has been opened to competition, and where the incumbent is located at the center of the market, facing high costs of relocation. The model is relevant in markets such as public health care, education and schooling, or postal services. We find that, when the regulated price is low or intermediate, the entrant strategically locates towards the corner of the market to keep the incumbent at the low monopoly quality level. For a high price, the entrant locates at the corner of the market and both providers implement higher quality compared to a monopoly. In any case, the entrant implements higher quality than the incumbent provider. Social welfare is always higher in a duopoly if the cost of quality is low. For higher cost levels welfare is non-monotonic in the price and it can be optimal to the regulator not to use its entire budget. Therefore, the welfare effect of entry depends on the price and the size of the entry cost, and the regulator should condition the decision to allow entry on an assessment of the entry cost.}},
  author       = {{Hehenkamp, Burkhard and Kaarbøe, Oddvar M.}},
  keywords     = {{Quality competition, Price regulation, Location choice, Product differentiation}},
  title        = {{{Price Regulation, Quality Competition and Location Choice with Costly Relocation}}},
  year         = {{2023}},
}

@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}},
}