@article{23524,
  abstract     = {{We experimentally consider a dynamic multi-period Cournot duopoly with a simultaneous option to manage financial risk and a real option to delay supply. The first option allows players to manage risk before uncertainty is realized, while the second allows managing risk after realization. In our setting, firms face a strategic dilemma: They must weigh the advantages of dealing with risk exposure against the disadvantages of higher competition. In theory, firms make strategic use of the hedging component, enhancing competition. Our experimental results support this theory, suggesting that hedging increases competition and negates duopoly profits even in a simultaneous setting.}},
  author       = {{Cox, Caleb and Karam, Arzé and Pelster, Matthias}},
  journal      = {{Review of Industrial Organization}},
  title        = {{{Two-period duopolies with forward markets}}},
  doi          = {{10.1007/s11151-021-09839-6}},
  year         = {{2021}},
}

@article{23672,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Organizations introduce virtual assistants (VAs) to support employees with work-related tasks. VAs can increase the success of teamwork and thus become an integral part of the daily work life. However, the effect of VAs on virtual teams remains unclear. While social identity theory describes the identification of employees with team members and the continued existence of a group identity, the concept of the extended self refers to the incorporation of possessions into one’s sense of self. This raises the question of which approach applies to VAs as teammates. The article extends the IS literature by examining the impact of VAs on individuals and teams and updates the knowledge on social identity and the extended self by deploying VAs in a collaborative setting. Using a laboratory experiment with N = 50, two groups were compared in solving a task, where one group was assisted by a VA, while the other was supported by a person. Results highlight that employees who identify VAs as part of their extended self are more likely to identify with team members and vice versa. The two aspects are thus combined into the proposed construct of virtually extended identification explaining the relationships of collaboration with VAs. This study contributes to the understanding on the influence of the extended self and social identity on collaboration with VAs. Practitioners are able to assess how VAs improve collaboration and teamwork in mixed teams in organizations.</jats:p>}},
  author       = {{Mirbabaie, Milad and Stieglitz, Stefan and Brünker, Felix and Hofeditz, Lennart and Ross, Björn and Frick, Nicholas R. J.}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  pages        = {{21--37}},
  title        = {{{Understanding Collaboration with Virtual Assistants – The Role of Social Identity and the Extended Self}}},
  doi          = {{10.1007/s12599-020-00672-x}},
  year         = {{2021}},
}

@article{23673,
  author       = {{Mirbabaie, Milad and Stieglitz, Stefan and Brünker, Felix}},
  issn         = {{0959-3845}},
  journal      = {{Information Technology & People}},
  title        = {{{Dynamics of convergence behaviour in social media crisis communication – a complexity perspective}}},
  doi          = {{10.1108/itp-10-2019-0537}},
  year         = {{2021}},
}

@article{23674,
  abstract     = {{The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-being of patients. Human error hinders accurate diagnostics, as interpreting medical information is a complex and cognitively challenging task. The application of artificial intelligence (AI) can improve the level of diagnostic accuracy and efficiency. While the current literature has examined various approaches to diagnosing various diseases, an overview of fields in which AI has been applied, including their performance aiming to identify emergent digitalized healthcare services, has not yet been adequately realized in extant research. By conducting a critical review, we portray the AI landscape in diagnostics and provide a snapshot to guide future research. This paper extends academia by proposing a research agenda. Practitioners understand the extent to which AI improves diagnostics and how healthcare benefits from it. However, several issues need to be addressed before successful application of AI in disease diagnostics can be achieved.</jats:p>}},
  author       = {{Mirbabaie, Milad and Stieglitz, Stefan and Frick, Nicholas R. J.}},
  issn         = {{2190-7188}},
  journal      = {{Health and Technology}},
  pages        = {{693--731}},
  title        = {{{Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction}}},
  doi          = {{10.1007/s12553-021-00555-5}},
  year         = {{2021}},
}

@article{23675,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.</jats:p>}},
  author       = {{Mirbabaie, Milad and Hofeditz, Lennart and Frick, Nicholas R. J. and Stieglitz, Stefan}},
  issn         = {{0951-5666}},
  journal      = {{AI & SOCIETY}},
  title        = {{{Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research}}},
  doi          = {{10.1007/s00146-021-01239-4}},
  year         = {{2021}},
}

@inproceedings{23721,
  author       = {{Kaufhold, M.-A. and Riebe, T. and Kühn, P. and Bayer, M. and Reuter, C. and Stöttinger, M. and Möller, R. and Mirbabaie, Milad and Fromm, J. and Basyurt, A.S. and Stieglitz, S. and Eyilmez, K. and Fuchß, C.}},
  booktitle    = {{Proceedings of the 8th Mensch und Computer}},
  title        = {{{CYWARN: Strategy and Technology Development for Cross-Platform Cyber Situational Awareness and Actor-Specific Cyber Threat Communication}}},
  year         = {{2021}},
}

@inproceedings{23723,
  author       = {{Sieger, L. N. and Doğangün, A. and Mirbabaie, Milad}},
  booktitle    = {{Proceedings of the 8th Mensch und Computer}},
  title        = {{{Teaching the Smart Home - User Experience in an Interactive Learning Phase}}},
  year         = {{2021}},
}

@inproceedings{23724,
  author       = {{Marx, J. and Mirbabaie, Milad and Czonstke, C. and Stieglitz, S.}},
  booktitle    = {{29th European Conference on Information Systems}},
  title        = {{{Social Media Analytics and Corporate Crises - A Case Study of Boeing's 737 Max Crashes}}},
  year         = {{2021}},
}

@inproceedings{23725,
  author       = {{Hofeditz, L. and Mirbabaie, Milad and Holstein, J. and Stieglitz, S.}},
  booktitle    = {{29th European Conference on Information Systems}},
  title        = {{{Do you trust an AI-Journalist? A Credibility Analysis of News Content with AI-Authorship}}},
  year         = {{2021}},
}

@inproceedings{23726,
  author       = {{Marx, J. and Mirbabaie, Milad and Brendel, A.B. and Zander, K.}},
  booktitle    = {{The Americas Conference on Information Systems}},
  title        = {{{The Role of Parasocial Interactions for Podcast Backchannel Response}}},
  year         = {{2021}},
}

@article{22205,
  abstract     = {{In January 2021, the GameStop stock was the epicenter of the first case of predatory trading initiated by retail investors. We use brokerage accounts to study who participated in this GameStop frenzy and how they performed. We investigate the extent to which investors’ personal and trading characteristics differ from the general population of retail investors. GameStop traders had a history of investing in speculative instruments, including stocks with lottery-like features. They were also more likely to close their positions before the peak of the bubble. At the onset of the frenzy, numerous retail investors also shorted GameStop. Overall, our results indicate that the GameStop frenzy was not a pure digital protest against Wall Street but speculative trading by a group of retail investors, in line with their prior high-risk trading behavior.}},
  author       = {{Hasso, Tim and Müller, Daniel and Pelster, Matthias and Warkulat, Sonja}},
  journal      = {{Finance Research Letters}},
  keywords     = {{Predatory Trading, Retail Investors, Trading Behavior}},
  title        = {{{Who participated in the GameStop frenzy? Evidence from brokerage accounts}}},
  doi          = {{10.1016/j.frl.2021.102140}},
  year         = {{2021}},
}

@techreport{22211,
  author       = {{Lorenz, Johannes and Sureth-Sloane, Caren and Diller, Markus}},
  title        = {{{Inconsistent tax transfer prices: tax filings, audits, and double taxation}}},
  doi          = {{10.52569/acpj5634}},
  year         = {{2021}},
}

@inbook{22221,
  author       = {{Blankenfeldt, Maximilian and Müller, Jens and Weinrich, Arndt}},
  booktitle    = {{Intangibles - Immaterielle Werte}},
  editor       = {{Vögele, Alexander}},
  isbn         = {{978-3-406-71601-0}},
  publisher    = {{C.H.Beck}},
  title        = {{{Forschung und Entwicklung: Kriterien für die Aktivierung in der Unternehmenspraxis}}},
  year         = {{2021}},
}

@inproceedings{22514,
  author       = {{Kucklick, Jan-Peter and Müller, Jennifer and Beverungen, Daniel and Müller, Oliver}},
  booktitle    = {{European Conference on Information Systems}},
  location     = {{Virtual}},
  title        = {{{Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach}}},
  year         = {{2021}},
}

@article{22523,
  abstract     = {{The containment of COVID-19 critically hinges on individuals’ behavior. We investigate how individuals react to variations in COVID-19 reporting. Using a survey, we elicit individuals' perceived infection risk given various COVID-19 metrics (e.g., confirmed cases, reproduction rate, or case-fatality ratio). We proxy individuals' risk perception with their willingness to pay for the participation in everyday life and amusements events. We find that participants react to different COVID-19 metrics with varying sensitivity. We observe a saturation of sensitivity for several measures at critical limits used in the political discussion, making our results highly relevant for policy makers in their efforts to direct individuals to adhere to hygienic etiquette and social distancing guidelines.}},
  author       = {{Warkulat, Sonja and Krull, Sebastian and Ortmann, Regina and Klocke, Nina and Pelster, Matthias}},
  journal      = {{Covid Economics}},
  keywords     = {{COVID-19 reporting, willingness to pay, willingness to accept}},
  number       = {{83}},
  pages        = {{183--205}},
  publisher    = {{CEPR Press}},
  title        = {{{COVID-19 reporting and willingness to pay for leisure activities}}},
  year         = {{2021}},
}

@article{22631,
  author       = {{Krull, Sebastian and Loschelder, David D. and Boecker, Lea}},
  journal      = {{Frontiers in Psychology}},
  title        = {{{The Power and Peril of Precise vs. Round Health Message Interventions to Increase Stair-Use}}},
  doi          = {{10.3389/fpsyg.2021.624198}},
  year         = {{2021}},
}

@inproceedings{21723,
  author       = {{Müller, Stefanie Jutta Marianne and Buchholz, Anna and Flath, Beate and Kundisch, Dennis and Momen Pour Tafreshi, Maryam}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{The Agony of Finding the Right Pricing Policy for Cultural Institutions: Addressing Economic Viability and Cultural Participation through Innovative Pricing}}},
  year         = {{2021}},
}

@inproceedings{21727,
  abstract     = {{Platform-based business models underlie the success of many of today’s largest, fastest-growing, and most disruptive companies. Despite the success of prominent examples, such as Uber and Airbnb, creating a profitable platform ecosystem presents a key challenge for many companies across all industries. Although research provides knowledge about platforms’ different value drivers (e.g., network effects), companies that seek to transform their current business model into a platform-based one lack an artifact to reduce knowledge boundaries, collaborate effectively, and cope with the complexities and dynamics of platform ecosystems. We address this challenge by developing two artifacts and combining research from variability modeling, business model dependencies, and system dynamics. This paper presents a design science research approach to develop the platform ecosystem modeling language and the platform ecosystem development tool that support researcher and practitioner by visualizing and simulating platform ecosystems. }},
  author       = {{Vorbohle, Christian and Gottschalk, Sebastian}},
  booktitle    = {{Proceedings of the 29th European Conference on Information Systems (ECIS)}},
  keywords     = {{Platform Ecosystems, Platform Ecosystem Modeling Language, Platform Ecosystem Development Tool, Business Models, Design Science}},
  location     = {{Virtual Conference/Workshop}},
  publisher    = {{AIS}},
  title        = {{{Towards Visualizing and Simulating Business Models in Dynamic Platform Ecosystems }}},
  year         = {{2021}},
}

@inproceedings{21799,
  author       = {{Kutzner, K. and Stadtländer, M. and Seutter, Janina and Kundisch, Dennis and Knackstedt, R.}},
  booktitle    = {{Proceedings of the 29th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{”Sorry, Too Much Information” Designing Online Review Systems that Support Information Search and Processing}}},
  year         = {{2021}},
}

@inproceedings{21812,
  author       = {{Vorbohle, Christian and Szopinski, Daniel and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 29th European Conference on Information Systems (ECIS)}},
  location     = {{Virtual Conference/Workshop}},
  title        = {{{Toward Understanding the Complexity of Business Models – A Taxonomy of Business Model Dependencies}}},
  year         = {{2021}},
}