@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}},
}

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

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

@book{45863,
  abstract     = {{In the proposal for our CRC in 2011, we formulated a vision of markets for
IT services that describes an approach to the provision of such services
that was novel at that time and, to a large extent, remains so today:
„Our vision of on-the-fly computing is that of IT services individually and
automatically configured and brought to execution from flexibly combinable
services traded on markets. At the same time, we aim at organizing
markets whose participants maintain a lively market of services through
appropriate entrepreneurial actions.“
Over the last 12 years, we have developed methods and techniques to
address problems critical to the convenient, efficient, and secure use of
on-the-fly computing. Among other things, we have made the description
of services more convenient by allowing natural language input,
increased the quality of configured services through (natural language)
interaction and more efficient configuration processes and analysis
procedures, made the quality of (the products of) providers in the
marketplace transparent through reputation systems, and increased the
resource efficiency of execution through reconfigurable heterogeneous
computing nodes and an integrated treatment of service description and
configuration. We have also developed network infrastructures that have
a high degree of adaptivity, scalability, efficiency, and reliability, and
provide cryptographic guarantees of anonymity and security for market
participants and their products and services.
To demonstrate the pervasiveness of the OTF computing approach, we
have implemented a proof-of-concept for OTF computing that can run
typical scenarios of an OTF market. We illustrated the approach using
a cutting-edge application scenario – automated machine learning (AutoML).
Finally, we have been pushing our work for the perpetuation of
On-The-Fly Computing beyond the SFB and sharing the expertise gained
in the SFB in events with industry partners as well as transfer projects.
This work required a broad spectrum of expertise. Computer scientists
and economists with research interests such as computer networks and
distributed algorithms, security and cryptography, software engineering
and verification, configuration and machine learning, computer engineering
and HPC, microeconomics and game theory, business informatics
and management have successfully collaborated here.}},
  author       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{247}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{On-The-Fly Computing -- Individualized IT-services in dynamic markets}}},
  doi          = {{10.17619/UNIPB/1-1797}},
  volume       = {{412}},
  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}},
}

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

@inproceedings{24579,
  author       = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies}}},
  year         = {{2022}},
}

@inproceedings{27280,
  author       = {{Schoormann, T. and Möller, F. and Szopinski, Daniel}},
  booktitle    = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}},
  location     = {{Nürnberg, Germany}},
  title        = {{{Exploring purposes of using taxonomies}}},
  year         = {{2022}},
}

@inproceedings{29839,
  abstract     = {{The development of business models is a challenging task that can be supported with software tools. Here, existing approaches and tools do not focus on the company’s situation in which the development takes place (e.g., financial resources, product type). To tackle this challenge, we used design science research to develop a situation-specific business model development approach that contains three stages: First, existing knowledge in terms of tasks to do (e.g., analyze competitive advantage), and decisions to be made (e.g., social media marketing) are stored in repositories. Second, the knowledge is used to compose a development method based on the company’s situation. Third, the development method is enacted to develop a business model. This demonstration paper presents a tool-support called Situational Business Model Developer that supports all stages of our approach. We release the tool under open-source and evaluate it with a case study on developing business models for mobile apps.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}},
  booktitle    = {{Proceedings of the 17th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Business Model Development, Situational Method Engineering, Tool Support}},
  location     = {{Nuremberg}},
  publisher    = {{AIS}},
  title        = {{{Situational Business Model Developer: A Tool-support for Situation-specific Business Model Development}}},
  year         = {{2022}},
}

@article{17869,
  author       = {{Poniatowski, Martin and Lüttenberg, Hedda and Beverungen, Daniel and Kundisch, Dennis}},
  journal      = {{Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies}},
  pages        = {{257 -- 283}},
  title        = {{{Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms}}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{29842,
  abstract     = {{To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}},
  booktitle    = {{Proceedings of the 18th International Conference on Software Architecture Companion }},
  keywords     = {{continuous experimentation, model-driven, component-based software architectures, self-adaptation}},
  location     = {{Hawaii}},
  publisher    = {{IEEE}},
  title        = {{{Model-driven Continuous Experimentation on Component-based Software Architectures }}},
  doi          = {{10.1109/ICSA-C54293.2022.00011}},
  year         = {{2022}},
}

@article{33251,
  author       = {{Robra-Bissantz, Susanne and Lattemann, Christoph and Laue, Ralf and Leonhard-Pfleger, Raphaela and Wagner, Luisa and Gerundt, Oliver and Schlimbach, Ricarda and Baumann, Sabine and Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy and Nissen, Volker and Lohrenz, Lisa and Michalke, Simon}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  number       = {{5}},
  pages        = {{1227 -- 1257}},
  title        = {{{Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme}}},
  volume       = {{59}},
  year         = {{2022}},
}

@inproceedings{30939,
  author       = {{Vorbohle, Christian and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 30th European Conference on Information Systems (ECIS)}},
  location     = {{Timișoara, Romania}},
  title        = {{{Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems}}},
  year         = {{2022}},
}

@inproceedings{30212,
  author       = {{Vorbohle, Christian and Kundisch, Dennis}},
  title        = {{{Key Properties of Sustainable Business Ecosystem Relationships}}},
  year         = {{2022}},
}

@article{33250,
  author       = {{Szopinski, Daniel and Massa, Lorenzo and John, Thomas and Kundisch, Dennis and Tucci, Christopher}},
  journal      = {{Communications of the Association for Information Systems}},
  pages        = {{774--841}},
  title        = {{{Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research}}},
  volume       = {{51}},
  year         = {{2022}},
}

@article{23566,
  author       = {{Kundisch, Dennis and Muntermann, J. and Oberländer, A. M. and Rau, D. and Röglinger, M. and Schoormann, T. and Szopinski, Daniel}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{4}},
  pages        = {{421--439}},
  title        = {{{An update for taxonomy designers: Methodological guidance from information systems research}}},
  volume       = {{64}},
  year         = {{2022}},
}

@phdthesis{35189,
  abstract     = {{The development of new business models is essential for startups to become successful, as well as for established companies to explore new business opportunities. However, developing such business models is a challenging activity. On the one hand, various tasks of business model development methods (BMDMs) need to be performed. On the other hand, different decisions for the business models (BMs) need to be made. Both have to fit the changeable situation of the organization in which the business model is developed to reduce the risk of developing ineffective business models with low market penetration. Therefore, the BMDMs and the BMs must be developed situation-specific. In this thesis, we conduct a design science research study to design a novel approach for the situation-specific development of business models with three stages. In the first stage, we create a method repository with method fragments for the BMDMs and a canvas model repository with modeling fragments for the BMs. Both repositories are filled by the knowledge of domain experts. Out of these repositories, in the second stage, situation-specific BMDMs for developing situation-specific BMs are composed by a method engineer based on the changeable situation of the organization and enacted by a business developer. The business developer collaborates with other stakeholders during the enaction to create artifacts. Moreover, in the third stage, he receives IT support, provided by development support engineers, in different development steps.}},
  author       = {{Gottschalk, Sebastian}},
  publisher    = {{Paderborn University}},
  title        = {{{Situation-specific Development of Business Models within Software Ecosystems}}},
  doi          = {{10.17619/UNIPB/1-1644}},
  year         = {{2022}},
}

@inproceedings{41134,
  author       = {{Gottschalk, Sebastian and Bhat, Rakshit and Weidmann, Nils and Kirchhoff, Jonas and Engels, Gregor}},
  booktitle    = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}},
  publisher    = {{ACM}},
  title        = {{{Low-code experimentation on software products}}},
  doi          = {{10.1145/3550356.3561572}},
  year         = {{2022}},
}

@inbook{21586,
  author       = {{Klein, M. and Kundisch, Dennis and Stummer, C.}},
  booktitle    = {{Handbuch Digitalisierung}},
  editor       = {{Corsten, H. and Roth, S.}},
  pages        = {{799--814}},
  publisher    = {{Vahle}},
  title        = {{{Feeless Micropayments and Their Impact on Business Models}}},
  year         = {{2022}},
}