@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}},
}

@article{45192,
  author       = {{Götte, Thorsten and Hinnenthal, Kristian and Scheideler, Christian and Werthmann, Julian}},
  journal      = {{Distributed Computing}},
  title        = {{{Time-Optimal Construction of Overlays}}},
  doi          = {{https://doi.org/10.1007/s00446-023-00442-4}},
  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}},
}

@misc{45243,
  author       = {{N., N.}},
  title        = {{{Development and Evaluation of a Model-Based UI Prototyping Experimentation Approach}}},
  year         = {{2023}},
}

@misc{43375,
  author       = {{Koch, Angelina}},
  title        = {{{Privacy-Preserving Collection and Evaluation of Log Files}}},
  year         = {{2023}},
}

@phdthesis{45580,
  author       = {{Castenow, Jannik}},
  title        = {{{Local Protocols for Contracting and Expanding Robot Formation Problems}}},
  doi          = {{10.17619/UNIPB/1-1750}},
  year         = {{2023}},
}

@phdthesis{45579,
  author       = {{Knollmann, Till}},
  title        = {{{Online Algorithms for Allocating Heterogeneous Resources}}},
  doi          = {{10.17619/UNIPB/1-1751}},
  year         = {{2023}},
}

@techreport{45666,
  author       = {{Frick, Bernd and Spiess Bru, Clarissa and Kaimann, Daniel}},
  publisher    = {{Paderborn University, Faculty of Business Administration and Economics}},
  title        = {{{Are Women (Really) More Lenient? Gender Differences in Expert Evaluations}}},
  volume       = {{106}},
  year         = {{2023}},
}

@techreport{45665,
  author       = {{Kaimann, Daniel and Spiess Bru, Clarissa}},
  publisher    = {{Paderborn University, Faculty of Business Administration and Economics}},
  title        = {{{Sounds too Feminine? Brand Gender and The Impact on Professional Critics}}},
  volume       = {{107}},
  year         = {{2023}},
}

@phdthesis{45669,
  author       = {{Beck-Werz, Lisa}},
  title        = {{{Essays on Choices and Behavior in Competitive Situations}}},
  year         = {{2023}},
}

@phdthesis{44323,
  abstract     = {{Reading between the lines has so far been reserved for humans. The present dissertation addresses this research gap using machine learning methods.
Implicit expressions are not comprehensible by computers and cannot be localized in the text. However, many texts arise on interpersonal topics that, unlike commercial evaluation texts, often imply information only by means of longer phrases. Examples are the kindness and the attentiveness of a doctor, which are only paraphrased (“he didn’t even look me in the eye”). The analysis of such data, especially the identification and localization of implicit statements, is a research gap (1). This work uses so-called Aspect-based Sentiment Analysis as a method for this purpose. It remains open how the aspect categories to be extracted can be discovered and thematically delineated based on the data (2). Furthermore, it is not yet explored how a collection of tools should look like, with which implicit phrases can be identified and thus made explicit
(3). Last, it is an open question how to correlate the identified phrases from the text data with other data, including the investigation of the relationship between quantitative scores (e.g., school grades) and the thematically related text (4). Based on these research gaps, the research question is posed as follows: Using text mining methods, how can implicit rating content be properly interpreted and thus made explicit before it is automatically categorized and quantified?
The uniqueness of this dissertation is based on the automated recognition of implicit linguistic statements alongside explicit statements. These are identified in unstructured text data so that features expressed only in the text can later be compared across data sources, even though they were not included in rating categories such as stars or school grades. German-language physician ratings from websites in three countries serve as the sample domain. The solution approach consists of data creation, a pipeline for text processing and analyses based on this. In the data creation, aspect classes are identified and delineated across platforms and marked in text data. This results in six datasets with over 70,000 annotated sentences and detailed guidelines. The models that were created based on the training data extract and categorize the aspects. In addition, the sentiment polarity and the evaluation weight, i. e., the importance of each phrase, are determined. The models, which are combined in a pipeline, are used in a prototype in the form of a web application. The analyses built on the pipeline quantify the rating contents by linking the obtained information with further data, thus allowing new insights.
As a result, a toolbox is provided to identify quantifiable rating content and categories using text mining for a sample domain. This is used to evaluate the approach, which in principle can also be adapted to any other domain.}},
  author       = {{Kersting, Joschka}},
  pages        = {{208}},
  publisher    = {{Universität der Bundeswehr München }},
  title        = {{{Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining}}},
  year         = {{2023}},
}

@inbook{45875,
  author       = {{Götte, Thorsten and Knollmann, Till and Meyer auf der Heide, Friedhelm and Scheideler, Christian and Werthmann, Julian}},
  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        = {{1----20}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Capabilities and Limitations of Local Strategies in Dynamic Networks}}},
  doi          = {{10.5281/zenodo.8060372}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45895,
  author       = {{Karl, Holger and Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon and Redder, Adrian}},
  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        = {{183--202}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers}}},
  doi          = {{10.5281/zenodo.8068664}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45901,
  author       = {{Blömer, Johannes and Bobolz, Jan and Eidens, Fabian and Jager, Tibor and Kramer, Paul}},
  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        = {{237--246}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Practical Cryptograhic Techniques for Secure and Privacy-Preserving Customer Loyalty Systems}}},
  doi          = {{10.5281/zenodo.8068755}},
  volume       = {{412}},
  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{45891,
  author       = {{Blömer, Johannes and Eidens, Fabian and Jager, Tibor and Niehues, David and Scheideler, Christian}},
  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        = {{145--164}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Robustness and Security}}},
  doi          = {{10.5281/zenodo.8068629}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45882,
  author       = {{Bäumer, Frederik Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth, Henning}},
  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        = {{65--84}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation}}},
  doi          = {{10.5281/zenodo.8068456}},
  volume       = {{412}},
  year         = {{2023}},
}

@inbook{45884,
  author       = {{Hanselle, Jonas Manuel and Hüllermeier, Eyke and Mohr, Felix and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed and Tornede, Alexander and Wever, Marcel Dominik}},
  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        = {{85--104}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Configuration and Evaluation}}},
  doi          = {{10.5281/zenodo.8068466}},
  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}},
}

