@article{EggertMoulen2020,
  author    = {Eggert, Mathias and Moulen, Tobias},
  title     = {Selektion von Gesch{\"a}ftsprozessen zur Anwendung von Robotic Process Automation am Beispiel einer Versicherung},
  series = {HMD Praxis der Wirtschaftsinformatik},
  volume    = {57},
  journal   = {HMD Praxis der Wirtschaftsinformatik},
  number    = {6},
  publisher = {Springer},
  address   = {Weinheim},
  issn      = {1436-3011},
  doi       = {10.1365/s40702-020-00665-0},
  pages     = {1150 -- 1162},
  year      = {2020},
  abstract  = {H{\"a}ufig bremsen geringe IT-Ressourcen, fehlende Softwareschnittstellen oder eine veraltete und komplex gewachsene Systemlandschaft die Automatisierung von Gesch{\"a}ftsprozessen. Robotic Process Automation (RPA) ist eine vielversprechende Methode, um Gesch{\"a}ftsprozesse oberfl{\"a}chenbasiert und ohne gr{\"o}ßere Systemeingriffe zu automatisieren und Medienbr{\"u}che abzubauen. Die Auswahl der passenden Prozesse ist dabei f{\"u}r den Erfolg von RPA-Projekten entscheidend. Der vorliegende Beitrag liefert daf{\"u}r Selektionskriterien, die aus einer qualitativen Inhaltanalyse von elf Interviews mit RPA-Experten aus dem Versicherungsumfeld resultieren. Das Ergebnis umfasst eine gewichtetet Liste von sieben Dimensionen und 51 Prozesskriterien, welche die Automatisierung mit Softwarerobotern beg{\"u}nstigen bzw. deren Nichterf{\"u}llung eine Umsetzung erschweren oder sogar verhindern. Die drei wichtigsten Kriterien zur Auswahl von Gesch{\"a}ftsprozessen f{\"u}r die Automatisierung mittels RPA umfassen die Entlastung der an dem Prozess mitwirkenden Mitarbeiter (Arbeitnehmer{\"u}berlastung), die Ausf{\"u}hrbarkeit des Prozesses mittels Regeln (Regelbasierte Prozessteuerung) sowie ein positiver Kosten-Nutzen-Vergleich. Praktiker k{\"o}nnen diese Kriterien verwenden, um eine systematische Auswahl von RPA-relevanten Prozessen vorzunehmen. Aus wissenschaftlicher Perspektive stellen die Ergebnisse eine Grundlage zur Erkl{\"a}rung des Erfolgs und Misserfolgs von RPA-Projekten dar.},
  language  = {de}
}
@inproceedings{SchulteEggert2021,
  author    = {Schulte, Maximilian and Eggert, Mathias},
  title     = {Predicting hourly bitcoin prices based on long short-term memory neural networks},
  series = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021},
  booktitle = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021},
  pages     = {16 Seiten},
  year      = {2021},
  abstract  = {Bitcoin is a cryptocurrency and is considered a high-risk asset class whose price changes are difficult to predict. Current research focusses on daily price movements with a limited number of predictors. The paper at hand aims at identifying measurable indicators for Bitcoin price movement s and the development of a suitable forecasting model for hourly changes. The paper provides three research contributions. First, a set of significant indicators for predicting the Bitcoin price is identified. Second, the results of a trained Long Short-term Memory (LSTM) neural network that predicts price changes on an hourly basis is presented and compared with other algorithms. Third, the results foster discussions of the applicability of neural nets for stock price predictions. In total, 47 input features for a period of over 10 months could be retrieved to train a neural net that predicts the Bitcoin price movements with an error rate of 3.52 \%.},
  language  = {en}
}
@inproceedings{EggertEdelbauer2020,
  author    = {Eggert, Mathias and Edelbauer, Thomas Rudolf},
  title     = {Gamified Information Systems for Assisted Living Facilities - Relevant Design Guidelines, Affordances and Adoption Barriers},
  series = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany},
  booktitle = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany},
  doi       = {10.30844/wi_2020_f3-eggert},
  pages     = {1 -- 16},
  year      = {2020},
  language  = {en}
}
@inproceedings{EggertStanke2020,
  author    = {Eggert, Mathias and Stanke, Max-Alexander},
  title     = {Adoption of Integrated Voice Assistants in Health Care- Requirements and Design Guidelines},
  series = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany},
  booktitle = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany},
  doi       = {10.30844/wi_2020_k2-eggert},
  pages     = {1 -- 16},
  year      = {2020},
  language  = {en}
}
@article{EggertAlberts2020,
  author    = {Eggert, Mathias and Alberts, Jens},
  title     = {Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda},
  series = {Business Research},
  volume    = {2020},
  journal   = {Business Research},
  number    = {13},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {2198-2627},
  doi       = {10.1007/s40685-020-00108-y},
  pages     = {685 -- 739},
  year      = {2020},
  abstract  = {Researching the field of business intelligence and analytics (BI \& A) has a long tradition within information systems research. Thereby, in each decade the rapid development of technologies opened new room for investigation. Since the early 1950s, the collection and analysis of structured data were the focus of interest, followed by unstructured data since the early 1990s. The third wave of BI \& A comprises unstructured and sensor data of mobile devices. The article at hand aims at drawing a comprehensive overview of the status quo in relevant BI \& A research of the current decade, focusing on the third wave of BI \& A. By this means, the paper's contribution is fourfold. First, a systematically developed taxonomy for BI \& A 3.0 research, containing seven dimensions and 40 characteristics, is presented. Second, the results of a structured literature review containing 75 full research papers are analyzed by applying the developed taxonomy. The analysis provides an overview on the status quo of BI \& A 3.0. Third, the results foster discussions on the predicted and observed developments in BI \& A research of the past decade. Fourth, research gaps of the third wave of BI \& A research are disclosed and concluded in a research agenda.},
  language  = {en}
}
@inproceedings{Eggert2019,
  author    = {Eggert, Mathias},
  title     = {Understanding the acceptance of smart home-based insurances},
  series = {Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm \& Uppsala, Sweden, June 8-14, 2019},
  booktitle = {Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm \& Uppsala, Sweden, June 8-14, 2019},
  isbn      = {978-1-7336325-0-8},
  pages     = {1 -- 15},
  year      = {2019},
  language  = {en}
}
@incollection{Eggert2019,
  author    = {Eggert, Mathias},
  title     = {Big Data Research - How to Structure the Changes of the Past Decade?},
  series = {The Art of Structuring},
  booktitle = {The Art of Structuring},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-06234-7},
  doi       = {10.1007/978-3-030-06234-7_26},
  pages     = {271 -- 281},
  year      = {2019},
  abstract  = {In the past decade, many IS researchers focused on researching the phenomenon of Big Data. At the same time, the relevance of data protection gets more attention than ever before. In particular, since the enactment of the European General Data Protection Regulation in May 2018 Information Systems research should provide answers for protecting personal data. The article at hand presents a structuring framework for Big Data research outcome and the consideration of data protection. IS Researchers might use the framework in order to structure Big Data literature and to identify research gaps that should be addressed in the future.},
  language  = {en}
}
@inproceedings{BeckerEggertKnackstedt2010,
  author    = {Becker, J{\"o}rg and Eggert, Mathias and Knackstedt, Ralf},
  title     = {Forschungslandkarte Rechtsinformatik und Informationsrecht},
  series = {Proceedings of the Internationales Rechtsinformatik Sysmposium (IRIS), Salzburg, {\"O}sterreich, 2010},
  booktitle = {Proceedings of the Internationales Rechtsinformatik Sysmposium (IRIS), Salzburg, {\"O}sterreich, 2010},
  year      = {2010},
  language  = {de}
}
@incollection{BergenerDelfmannEggertetal.2010,
  author    = {Bergener, Philipp and Delfmann, Patrick and Eggert, Mathias and Fritz, Fleur and Heddier, Marcel and Herring, Eva-Maria and Hofmann, Sara and Knackstedt, Ralf and Meil{\"a}nder, Dominique and Meyer, Eric and R{\"a}ckers, Michael and Seiler, Julia},
  title     = {Forschungsperspektiven im Kontext Informationstechnik und Recht},
  series = {IT-Risiken: Ursachen, Methoden, Forschungsperspektiven, Arbeitsberichte des Instituts f{\"u}r Wirtschaftsinformatik},
  booktitle = {IT-Risiken: Ursachen, Methoden, Forschungsperspektiven, Arbeitsberichte des Instituts f{\"u}r Wirtschaftsinformatik},
  number    = {128},
  editor    = {Becker, J{\"o}rg and Bergener, Philipp and Eggert, Mathias and Heddier, Marcel and Hofmann, Sara and Knackstedt, Ralf and R{\"a}ckers, Michael},
  publisher = {Institut f{\"u}r Wirtschaftsinformatik},
  address   = {M{\"u}nster},
  issn      = {1438-3985},
  pages     = {115 -- 147},
  year      = {2010},
  language  = {de}
}
@inproceedings{BeckerEggertKnackstedt2010,
  author    = {Becker, J{\"o}rg and Eggert, Mathias and Knackstedt, Ralf},
  title     = {Der Beitrag der Referenzmodellierung zur Compliance im Reporting des Finanzsektors},
  series = {Business Intelligence Operational Structures: Towards the Design of a Reference Process Map},
  booktitle = {Business Intelligence Operational Structures: Towards the Design of a Reference Process Map},
  pages     = {11 -- 18},
  year      = {2010},
  language  = {de}
}