@inproceedings{ZaehlBiewendtWolfetal.2022,
  author    = {Z{\"a}hl, Philipp M. and Biewendt, Marcel and Wolf, Martin and Eggert, Mathias},
  title     = {Requirements for Competence Developing Games in the Environment of SE Competence Development},
  series = {Angewandte Forschung in der Wirtschaftsinformatik 2022},
  booktitle = {Angewandte Forschung in der Wirtschaftsinformatik 2022},
  publisher = {GITO},
  address   = {Berlin},
  isbn      = {978-3-95545-409-8},
  doi       = {10.30844/AKWI_2022_05},
  pages     = {73 -- 88},
  year      = {2022},
  abstract  = {Many of today's factors make software development more and more complex, such as time pressure, new technologies, IT security risks, et cetera. Thus, a good preparation of current as well as future software developers in terms of a good software engineering education becomes progressively important. As current research shows, Competence Developing Games (CDGs) and Serious Games can offer a potential solution. This paper identifies the necessary requirements for CDGs to be conducive in principle, but especially in software engineering (SE) education. For this purpose, the current state of research was summarized in the context of a literature review. Afterwards, some of the identified requirements as well as some additional requirements were evaluated by a survey in terms of subjective relevance.},
  language  = {en}
}
@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{RosemannEggertVoigtetal.2012,
  author    = {Rosemann, Michael and Eggert, Mathias and Voigt, Matthias and Beverungen, Daniel},
  title     = {Leveraging Social Network Data for Analytical CRM Strategies - The Introduction of Social BI.},
  series = {ECIS 2012 Proceedings},
  booktitle = {ECIS 2012 Proceedings},
  pages     = {12 S.},
  year      = {2012},
  language  = {en}
}
@inproceedings{KnackstedtEggertHeddieretal.2013,
  author    = {Knackstedt, Ralf and Eggert, Mathias and Heddier, Marcel and Chasin, Friedrich and Becker, J{\"o}rg},
  title     = {The Relationship Of Is And Law - The Perspective Of And Implications For IS Research},
  series = {ECIS 2013 Completed Research. 18},
  booktitle = {ECIS 2013 Completed Research. 18},
  pages     = {13 S.},
  year      = {2013},
  language  = {en}
}
@inproceedings{KnackstedtEggertHeddieretal.2013,
  author    = {Knackstedt, Ralf and Eggert, Mathias and Heddier, Marcel and Chasin, Friedrich and Becker, J{\"o}rg},
  title     = {The Relationship of IS and Law - Insights into the German Online Car Registration Case},
  series = {ECIS 2013 Completed Research. 18. Proceedings of the 21st European Conference on Information Systems},
  booktitle = {ECIS 2013 Completed Research. 18. Proceedings of the 21st European Conference on Information Systems},
  pages     = {13 S.},
  year      = {2013},
  language  = {en}
}
@article{KnackstedtEggertGraeweetal.2010,
  author    = {Knackstedt, Ralf and Eggert, Mathias and Gr{\"a}we, Lena and Spittka, Jan},
  title     = {Forschungsportal f{\"u}r Rechtsinformatik und Informationsrecht - Weg zu einer disziplinen{\"u}bergreifenden Forschungs{\"u}bersicht},
  series = {MMR - Multimedia und Recht},
  journal   = {MMR - Multimedia und Recht},
  number    = {8},
  publisher = {Beck},
  address   = {M{\"u}nchen},
  issn      = {1434-596X},
  pages     = {528 -- 533},
  year      = {2010},
  abstract  = {Die Entwicklungen der Rechtsinformatik und des Informationsrechts zeigen, dass diese Disziplinen aktuell vor der Herausforderung stehen, eine interdisziplin{\"a}re Zusammenarbeit zwischen ihnen und anderen Disziplinen zu etablieren. Unterschiedliche Publikationskulturen erschweren die Erreichung dieses Ziels. Forschungsportale stellen themenspezifische, internetbasierte Verzeichnisse dar, die bereits vorhandene Informationen strukturiert zug{\"a}nglich machen. Sie k{\"o}nnen die Beziehungen zwischen den Disziplinen f{\"o}rdern, indem sie bereits erzielte Arbeitsergebnisse disziplinen{\"u}bergreifend bekannt machen und dadurch dazu beitragen, Synergiepotenziale und m{\"o}gliche Kooperationspartner zu identifizieren.},
  language  = {de}
}
@inproceedings{KnackstedtEggertFleischer2012,
  author    = {Knackstedt, Ralf and Eggert, Mathias and Fleischer, Stefan},
  title     = {The Legal Perspective on Business to Government Reporting - A Conceptual Modeling Approach and Its Application in the Financial Sector},
  series = {45th Hawaii International Conference on System Sciences 2012},
  booktitle = {45th Hawaii International Conference on System Sciences 2012},
  isbn      = {978-0-7695-4525-7},
  doi       = {10.1109/HICSS.2012.576},
  pages     = {2309 -- 2318},
  year      = {2012},
  language  = {en}
}
@incollection{EggertZaehlWolfetal.2023,
  author    = {Eggert, Mathias and Z{\"a}hl, Philipp M. and Wolf, Martin R. and Haase, Martin},
  title     = {Applying leaderboards for quality improvement in software development projects},
  series = {Software Engineering for Games in Serious Contexts},
  booktitle = {Software Engineering for Games in Serious Contexts},
  editor    = {Cooper, Kendra M.L. and Bucchiarone, Antonio},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-33337-8 (Print)},
  doi       = {10.1007/978-3-031-33338-5_11},
  pages     = {243 -- 263},
  year      = {2023},
  abstract  = {Software development projects often fail because of insufficient code quality. It is now well documented that the task of testing software, for example, is perceived as uninteresting and rather boring, leading to poor software quality and major challenges to software development companies. One promising approach to increase the motivation for considering software quality is the use of gamification. Initial research works already investigated the effects of gamification on software developers and come to promising. Nevertheless, a lack of results from field experiments exists, which motivates the chapter at hand. By conducting a gamification experiment with five student software projects and by interviewing the project members, the chapter provides insights into the changing programming behavior of information systems students when confronted with a leaderboard. The results reveal a motivational effect as well as a reduction of code smells.},
  language  = {en}
}
@inproceedings{EggertWinkelmannLohmannetal.2013,
  author    = {Eggert, Mathias and Winkelmann, Axel and Lohmann, Patrick and Knackstedt, Ralf},
  title     = {The Regulatory Influence On Management Information Systems - A Contingency Perspective},
  series = {ECIS 2013 Completed Research. 9},
  booktitle = {ECIS 2013 Completed Research. 9},
  pages     = {13 S.},
  year      = {2013},
  language  = {en}
}
@inproceedings{EggertWeber2023,
  author    = {Eggert, Mathias and Weber, Jannik},
  title     = {What drives the purchase decision in Instagram stores?},
  series = {ECIS 2023 Research Papers},
  booktitle = {ECIS 2023 Research Papers},
  pages     = {1 -- 17},
  year      = {2023},
  abstract  = {The popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that 'trust', 'personal recommendation', and 'usability' significantly influences user's buying intention in Instagram stores.},
  language  = {en}
}