@inproceedings{3550, abstract = {{Nowadays companies like Apple create ecosystems of third- party providers and users around their software platforms. Often online stores like Apple App Store are created to directly market third-party solutions. We call such ecosystems store-oriented software ecosystems. While the architecture of these ecosystems is mainly derived from busi- ness decisions of their owners, ecosystems with greatly different archi- tectural designs have been created. This diversity makes it challenging for future ecosystem providers to understand which architectural design is suitable to fulfill certain business decisions. In turn, opening a plat- form becomes risky while endangering intellectual property or scarifying quality of services. In this paper, we identify three main design options of store-oriented software ecosystems by classifying existing ecosystems based on similarities in their business decisions. We elaborate on the design options, discuss their main contributions, and provide exemplary ecosystems. Our work provides aspiring ecosystem providers with the reusable knowledge of existing ecosystems and helps them to take more informed architectural decisions and reduce risks in future.}}, author = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Küster, Jochen and Kundisch, Dennis and Szopinski, Daniel}}, booktitle = {{Proceeding of International Symposium on Business Modeling and Software Design}}, isbn = {{9783319942131}}, issn = {{1865-1348}}, pages = {{390--400}}, publisher = {{Springer}}, title = {{{Design Options of Store-Oriented Software Ecosystems: An Investigation of Business Decisions}}}, doi = {{10.1007/978-3-319-94214-8_30}}, volume = {{319}}, year = {{2018}}, } @inbook{3742, author = {{Hoof, Simon}}, booktitle = {{Static & Dynamic Game Theory: Foundations & Applications}}, isbn = {{9783319929873}}, issn = {{2363-8516}}, pages = {{13--23}}, publisher = {{Springer International Publishing}}, title = {{{Dynamic Voluntary Provision of Public Goods: The Recursive Nash Bargaining Solution}}}, doi = {{10.1007/978-3-319-92988-0_2}}, year = {{2018}}, } @article{3902, abstract = {{All over the world, firms and governments are increasingly concerned about the rise in tax complexity. To manage it and develop effective simplification measures, detailed information on the current drivers of complexity is required. However, research on this topic is scarce. This is surprising as the latest developments-for example, those triggered by the BEPS project-have given rise to the conjecture that complexity drivers may have changed, thus questioning the findings of prior studies. In this article, we shed light on this issue and provide a global picture of the current drivers of tax complexity that multinational corporations face based on a survey of 221 highly experienced tax consultants from 108 countries. Our results show that prior complexity drivers of the tax code are still important, with details and changes of tax regulations being the two most important complexity drivers. We also find evidence for new important complexity drivers emerging from different areas of the tax framework, such as inconsistent decisions among tax officers (tax audits) or retroactively applied tax law amendments (tax enactment). Based on the tax consultants' responses, we develop a concept of tax complexity that is characterized by two pillars, tax code and tax framework complexity and illustrates the various aspects that should be considered when assessing the complexity of a country's tax system.}}, author = {{Hoppe, Thomas and Schanz, Deborah and Sturm, Susann and Sureth-Sloane, Caren}}, issn = {{ 0165-2826}}, journal = {{Intertax}}, number = {{8/9}}, pages = {{654--675}}, publisher = {{Kluwer Law International}}, title = {{{What are the Drivers of Tax Complexity for MNCs? Global Evidence}}}, volume = {{46}}, year = {{2018}}, } @techreport{2933, abstract = {{We establish axioms under which a bargaining solution can be found by the maximization of the CES function and is unique up to specification of the distribution and elasticity parameters. This solution is referred to as the CES solution which includes the NASH and egalitarian solutions as special cases. Next, we consider a normalization of the CES function and establish axioms, under which a bargaining solution can be found by the maximization of the normalized CES and is unique up to the specifications of the distribution and its substitution parameters. We refer to this solution as the normalized CES solution, which includes the Nash and Kalai-Smorodinsky solutions as special cases. Our paper contributes to bargaining theory by establishing unified characterizations of existing as well as a great variety of new bargaining solutions.}}, author = {{Haake, Claus-Jochen and Qin, Cheng-Zhong}}, keywords = {{Bargaining problem, CES Function, Normalized CES Function, Nash solution, Kalai-Smorodinsky Solution, Egalitarian Solution.}}, publisher = {{CIE Working Paper Series, Paderborn University}}, title = {{{On unification of solutions to the bargaining problem}}}, volume = {{113}}, year = {{2018}}, } @inbook{3098, abstract = {{One of the fundamental problems in applications of methods and results from mechanism design and implementation theory is the effective enforcement of theoretically established equilibria by which social choice rules are implemented. Hurwicz (2008) and Myerson (2009) introduce different concepts of formalizing enforcement of institutional rules via the introduction of legal and illegal games. In this note the relation of their concepts with that of a social system defined inDebreu (1952) is analyzed and its potential of being instrumental for modelling institution design is discussed. The existence proof for such a system, also known as generalized game or abstract economy had been the basis for the existence proof of a competitive equilibrium of an economy.}}, author = {{Trockel, Walter and Haake, Claus-Jochen}}, booktitle = {{Studies in Economic Design}}, editor = {{Laslier, Jean-Francois and Moulin, Herve and Sanver, Remzi and Zwicker, William}}, issn = {{2510-3970}}, publisher = {{Springer}}, title = {{{Thoughts on Social Design}}}, volume = {{(n.d.)}}, year = {{2018}}, } @techreport{3101, abstract = {{Focusing on a physician's relationship to a briber and a patient, this experiment analyzes the influence of a bribe on a physician's treatment decision. We conduct a partner treatment, in which briber and physician play together for the whole experiment and a stranger treament, where briber and physician are re-matched every period. With the help of the two treatments, we vary the relative reciprocity between the physician and the two other actors, briber and patient. Additionally we use a follow up questionnaire to measure the behavioral motivation of the participants. We find that reciprocity leads to bribery relationships: In the partner treatment physicians act corruptly more often. Just the variation of the relative reciprocity between the treatments shows differences in the behavior of the subjects. Differences in the participants' preferences deliver no explanation for their behavior in our experiment.}}, author = {{Hilleringmann, Vanessa}}, keywords = {{Corruption, Reciprocity, Physician-Patient Relationship}}, publisher = {{CIE Working Paper Series}}, title = {{{The Influence of Bribery and Relative Reciprocity on a Physician's Prescription Decision - An Experiment}}}, year = {{2018}}, } @phdthesis{2712, author = {{Schlangenotto, Darius}}, publisher = {{Universität Paderborn}}, title = {{{Consumer Responses to Paid Search - Empirical Evidence from a Bricks-and-Mortar Retailer}}}, doi = {{10.17619/UNIPB/1-312}}, year = {{2018}}, } @article{21305, author = {{Mirbabaie, Milad and Stieglitz, Stefan and Priesmeyer, Jessica and Kindel, Marius}}, issn = {{1436-3011}}, journal = {{HMD Praxis der Wirtschaftsinformatik}}, pages = {{147--159}}, title = {{{Einsatz von Spielmechaniken und Bots zur Moderation von Kreativitätsprozessen in Unternehmen}}}, doi = {{10.1365/s40702-018-00475-5}}, year = {{2018}}, } @article{21307, author = {{Stieglitz, S. and Mirbabaie, Milad and Ross, B. and Neuberger, C.}}, journal = {{International Journal of Information Management}}, pages = {{156--168}}, title = {{{Social Media Analytics - Challenges in Topic Discovery, Data Collection, and Data Preparation}}}, year = {{2018}}, } @article{21308, author = {{Stieglitz, S. and Meske, C. and Ross, B. and Mirbabaie, Milad}}, journal = {{Information Systems Frontiers}}, title = {{{Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics}}}, year = {{2018}}, } @article{21309, author = {{Stieglitz, S. and Mirbabaie, Milad and Fromm, J.}}, journal = {{International Journal of Information Systems for Crisis Response and Management}}, title = {{{Understanding Sense-Making on Social Media during Crises: Categorization of Sense-Making Barriers and Strategies}}}, year = {{2018}}, } @article{21310, author = {{Kapidzic, Sanja and Neuberger, Christoph and Stieglitz, Stefan and Mirbabaie, Milad}}, issn = {{2167-0811}}, journal = {{Digital Journalism}}, pages = {{251--272}}, title = {{{Interaction and Influence on Twitter: Comparing the discourse relationships between user types on five topics}}}, doi = {{10.1080/21670811.2018.1522962}}, year = {{2018}}, } @article{21311, author = {{Stieglitz, S. and Mirbabaie, Milad and Milde, M.}}, journal = {{International Journal of Human-Computer Interaction}}, title = {{{Social Positions and Collective Sense-making in Crisis Communication}}}, year = {{2018}}, } @inproceedings{21332, author = {{Jung, A.-K. and Mirbabaie, Milad and Ross, B. and Stieglitz, S. and Neuberger, C. and Kapidzic, S.}}, booktitle = {{Proceedings of the 39th International Conference on Information Systems}}, title = {{{Information Diffusion between Twitter and Online Media}}}, year = {{2018}}, } @inproceedings{21333, author = {{Mirbabaie, Milad and Fromm, J. and Löppenberg, S. and Meinig, S. and Reuße, M.}}, booktitle = {{Proceedings of the 29th Australasian Conference on Information Systems}}, title = {{{The Potential of Social Media Analytics for Improving Social Media Communication of Emergency Agencies}}}, year = {{2018}}, } @inproceedings{21334, author = {{Marx, J. and Mirbabaie, Milad and Ehnis, C.}}, booktitle = {{Proceedings of the 29th Australasian Conference on Information Systems}}, title = {{{Sense-Giving Strategies of Media Organisations in Social Media Disaster Communication: Findings from Hurricane Harvey}}}, year = {{2018}}, } @inproceedings{21335, author = {{Marx, J. and Mirbabaie, Milad and Stieglitz, S.}}, booktitle = {{Proceedings of the 29th Australasian Conference on Information Systems}}, title = {{{You are now an Influencer! Measuring CEO Reputation in Social Media}}}, year = {{2018}}, } @inproceedings{21336, author = {{Brachten, F. and Mirbabaie, Milad and Stieglitz, S. and Berger, O. and Bludau, S. and Schrickel, K.}}, booktitle = {{Proceedings of the 29th Australasian Conference on Information Systems}}, title = {{{Threat or Opportunity? - Examining Social Bots in Social Media Crisis Communication}}}, year = {{2018}}, } @inproceedings{21342, author = {{Stieglitz, S. and Mirbabaie, Milad and Fromm, J. and Melzer, S.}}, booktitle = {{Proceedings of the Twenty-Sixth European Conference on Information Systems}}, title = {{{The Adoption of Social Media Analytics for Crisis Management – Challenges and Opportunities}}}, year = {{2018}}, } @inproceedings{21343, author = {{Meinert, J. and Mirbabaie, Milad and Dungs, S. and Aker, A.}}, booktitle = {{20th International Conference on Human-Computer Interaction, Social Computing and Social Media}}, publisher = {{Springer}}, title = {{{"Is it really fake? – Towards an Understanding of Fake News in Social Media Communication"}}}, year = {{2018}}, }