@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}},
}

@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}},
}

@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}},
}

@inproceedings{21093,
  abstract     = {{Requirements for energy distribution networks are changing fast due to the growing share of renewable energy, increasing electrification, and novel consumer and asset technologies. Since uncertainties about future developments increase planning difficulty, flexibility potentials such as synergies between the electricity, gas, heat, and transport sector often remain unused. In this paper, we therefore present a novel module-based concept for a decision support system that helps distribution network planners to identify cross-sectoral synergies and to select optimal network assets such as transformers, cables, pipes, energy storage systems or energy conversion technology. The concept enables long-term transformation plans and supports distribution network planners in designing reliable, sustainable and cost-efficient distribution networks for future demands.}},
  author       = {{Kirchhoff, Jonas and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Energy Informatics and Electro Mobility ICT}},
  editor       = {{Breitner, Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt, Christof and Werth, Oliver}},
  title        = {{{Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning}}},
  year         = {{2021}},
}

@article{20212,
  abstract     = {{Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.
}},
  author       = {{Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi}},
  journal      = {{Decision Support Systems}},
  keywords     = {{Ideational impact, citation classification, academic recommender systems, natural language processing, deep learning, cumulative tradition}},
  number       = {{January}},
  title        = {{{Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach}}},
  volume       = {{140}},
  year         = {{2021}},
}

@article{20844,
  abstract     = {{Review papers are essential for knowledge development in IS. While some are cited twice a day, others accumulate single digit citations over a decade. The magnitude of these differences prompts us to analyze what distinguishes those reviews that have proven to be integral to scientific progress from those that might be considered less impactful. Our results highlight differences between reviews aimed at describing, understanding, explaining, and theory testing. Beyond the control variables, they demonstrate the importance of methodological transparency and the development of research agendas. These insights inform all stakeholders involved in the development and publication of review papers.}},
  author       = {{Wagner, Gerit and Prester, Julian and Roche, Maria and Schryen, Guido and Benlian, Alexander and Paré, Guy and Templier, Mathieu}},
  journal      = {{Information & Management}},
  keywords     = {{Literature review, review papers, scientometric, scientific impact, citation analysis}},
  number       = {{3}},
  title        = {{{Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study}}},
  volume       = {{58}},
  year         = {{2021}},
}

@article{23494,
  author       = {{Stumpe, Miriam and Rößler, David and Schryen, Guido and Kliewer, Natalia}},
  journal      = {{EURO Journal on Transportation and Logistics}},
  title        = {{{Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules}}},
  doi          = {{https://doi.org/10.1016/j.ejtl.2021.100049}},
  volume       = {{10}},
  year         = {{2021}},
}

@article{17934,
  author       = {{Wagner, Gerit and Prester, Julian and Schryen, Guido}},
  journal      = {{Communications of the Association for Information Systems}},
  number       = {{1}},
  title        = {{{Exploring the Scientific Impact of Information Systems Design Science Research}}},
  volume       = {{48}},
  year         = {{2021}},
}

@article{29300,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>Coworking Spaces (CSPs) sind geteilte Arbeitsplätze für Selbstständige, Freelancer*innen, Mikrounternehmen und Startups, die Isolation entgegenwirken und zum interdisziplinären Wissensaustausch anregen können. Jedoch existieren auch Barrieren, die Nutzer*innen davon abhalten, zu anderen Coworker*innen Kontakt aufzunehmen, da oft unklar ist, wann und ob jemand zum kreativen Austausch oder zum Anbieten von Hilfe bereit ist. Durch die Covid-19 Pandemie wurde die Unsicherheit bei der gegenseitigen Kontaktaufnahme noch weiter erschwert und viele CSPs mussten zeitweise schließen. Um Barrieren bei der Kontaktaufnahme zu reduzieren und die interdisziplinäre Zusammenarbeit zu fördern, können Informations- und Kommunikationstechnologien eingesetzt werden. Virtual Reality (VR) und Augmented Reality (AR) sind Technologien, die sich durch einen besonders hohen Grad an Immersion und sozialer Präsenz auszeichnen. Deshalb zeigen wir in diesem Beitrag, wie VR- und AR-Technologien gezielt eingesetzt werden können, um den interdisziplinären Wissensaustausch und Zusammenarbeit sowohl in CSPs als auch ortsunabhängig zu fördern. Dazu präsentieren wir positive Effekte, die durch den Einsatz einer der beiden Technologien im Zusammenhang mit CSPs erzielt werden können und leiten konkrete Gestaltungsempfehlungen für Anwendungsentwickler*innen, Unternehmen sowie Betreiber*innen von CSPs ab. Diese Gestaltungsempfehlungen basieren sowohl auf den neuesten Erkenntnissen aus der Fachliteratur als auch auf Interviews mit Expert*innen aus Forschung und Praxis mit Erfahrung im Bereich CSPs, VR und AR. Unsere Anwendungsszenarien können Entwickler*innen, Unternehmen und Betreiber*innen von CSPs als Grundlage dienen, vom Einsatz beider Technologien zu profitieren.</jats:p>}},
  author       = {{Mirbabaie, Milad and Hofeditz, Lennart and Schmid, Leon}},
  issn         = {{1436-3011}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Springer Fachmedien Wiesbaden GmbH}},
  title        = {{{Ausgestaltungs- und Anwendungspotenziale von Virtual und Augmented Reality Technologien im Kontext von Coworking Spaces}}},
  doi          = {{10.1365/s40702-021-00818-9}},
  year         = {{2021}},
}

@article{29301,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>Durch technologische Fortschritte in den letzten Jahren ist Virtual Reality erschwinglicher und benutzerfreundlicher geworden, sodass Unternehmen die Einführung der Technologie verstärkt in Betracht ziehen. Ihren Aufschwung erlebte die Technologie jedoch durch die Unterhaltungs- und Spieleindustrie, weshalb sich für Unternehmen die Frage nach sinnvollen Anwendungsfällen stellt. Nach der Affordance-Experimentation-Actualization-Theorie ist insbesondere bei neu aufkommenden Technologien eine Experimentierphase notwendig, um Handlungsmöglichkeiten aufzudecken und daraus Anwendungsfälle zu generieren. Dieser Artikel präsentiert die Ergebnisse einer Fallstudie in einem Unternehmen, das sich während der Studie in der Experimentierphase befand. Durch Interviews mit acht Beschäftigten und einem Vertriebspartner konnten drei Handlungsmöglichkeiten für Virtual Reality im Unternehmenskontext und eine zuvor nicht bekannte Aktivität der Experimentierphase identifiziert werden. Damit erweitert die Studie bisherige Forschung zur Experimentierphase und zeigt Unterschiede im Vergleich zu anderen innovativen Technologien auf, die in vorherigen Studien untersucht wurden. Für Unternehmen bietet die Studie wertvolle Einblicke in die erfolgreiche Gestaltung der Experimentierphase als Vorbereitung auf die Implementierung.</jats:p>}},
  author       = {{Fromm, Jennifer and Slawinski, Elena and Mirbabaie, Milad}},
  issn         = {{1436-3011}},
  journal      = {{HMD Praxis der Wirtschaftsinformatik}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Springer Fachmedien Wiesbaden GmbH}},
  title        = {{{Affordance-Experimentation: Eine Fallstudie zur Entwicklung von Virtual-Reality-Anwendungsfällen im Unternehmenskontext}}},
  doi          = {{10.1365/s40702-021-00828-7}},
  year         = {{2021}},
}

@inproceedings{29590,
  author       = {{Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy}},
  booktitle    = {{Tagungsband der contribution at: 17. Internationale Tagung Wirtschaftsinformatik 2022 (WI)}},
  location     = {{Nürnberg, Germany}},
  title        = {{{A Procedure Model for Enhancing Ideation in the Collaborative Development of Business Ecosystems}}},
  year         = {{2021}},
}