TY - CHAP A1 - Zähl, Philipp M. A1 - Biewendt, Marcel A1 - Wolf, Martin A1 - Eggert, Mathias T1 - Requirements for Competence Developing Games in the Environment of SE Competence Development T2 - Angewandte Forschung in der Wirtschaftsinformatik 2022 N2 - 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. KW - software engineering KW - requirements KW - competence developing games KW - systematic literature review Y1 - 2022 SN - 978-3-95545-409-8 U6 - http://dx.doi.org/10.30844/AKWI_2022_05 N1 - Tagungsband zur 35. Jahrestagung des Arbeitskreises Wirtschaftsinformatik an Hochschulen für Angewandte Wissenschaften im deutschsprachigen Raum (AKWI) vom 11.09. bis 13.09.2022, ausgerichtet von der Hochschule für Technik und Wirtschaft Berlin (HTW Berlin) und der Hochschule für Wirtschaft und Recht Berlin (HWR Berlin) SP - 73 EP - 88 PB - GITO CY - Berlin ER - TY - CHAP A1 - Schulte, Maximilian A1 - Eggert, Mathias T1 - Predicting hourly bitcoin prices based on long short-term memory neural networks T2 - Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021 N2 - 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 %. Y1 - 2021 N1 - 16th International Conference on Wirtschaftsinformatik, March 2021, Essen, Germany ER - TY - CHAP A1 - Rosemann, Michael A1 - Eggert, Mathias A1 - Voigt, Matthias A1 - Beverungen, Daniel T1 - Leveraging Social Network Data for Analytical CRM Strategies - The Introduction of Social BI. T2 - ECIS 2012 Proceedings Y1 - 2012 N1 - European Conference on Information Systems (ECIS), 2012 ER - TY - CHAP A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Heddier, Marcel A1 - Chasin, Friedrich A1 - Becker, Jörg T1 - The Relationship Of Is And Law - The Perspective Of And Implications For IS Research T2 - ECIS 2013 Completed Research. 18 Y1 - 2013 N1 - Proceedings of the 21st European Conference on Information Systems ER - TY - CHAP A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Heddier, Marcel A1 - Chasin, Friedrich A1 - Becker, Jörg T1 - The Relationship of IS and Law - Insights into the German Online Car Registration Case T2 - ECIS 2013 Completed Research. 18. Proceedings of the 21st European Conference on Information Systems Y1 - 2013 ER - TY - JOUR A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Gräwe, Lena A1 - Spittka, Jan T1 - Forschungsportal für Rechtsinformatik und Informationsrecht - Weg zu einer disziplinenübergreifenden Forschungsübersicht JF - MMR - Multimedia und Recht N2 - Die Entwicklungen der Rechtsinformatik und des Informationsrechts zeigen, dass diese Disziplinen aktuell vor der Herausforderung stehen, eine interdisziplinäre 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 zugänglich machen. Sie können die Beziehungen zwischen den Disziplinen fördern, indem sie bereits erzielte Arbeitsergebnisse disziplinenübergreifend bekannt machen und dadurch dazu beitragen, Synergiepotenziale und mögliche Kooperationspartner zu identifizieren. Y1 - 2010 SN - 1434-596X IS - 8 SP - 528 EP - 533 PB - Beck CY - München ER - TY - CHAP A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Fleischer, Stefan T1 - The Legal Perspective on Business to Government Reporting - A Conceptual Modeling Approach and Its Application in the Financial Sector T2 - 45th Hawaii International Conference on System Sciences 2012 Y1 - 2012 SN - 978-0-7695-4525-7 U6 - http://dx.doi.org/10.1109/HICSS.2012.576 SP - 2309 EP - 2318 ER - TY - CHAP A1 - Eggert, Mathias A1 - Zähl, Philipp M. A1 - Wolf, Martin R. A1 - Haase, Martin ED - Cooper, Kendra M.L. ED - Bucchiarone, Antonio T1 - Applying leaderboards for quality improvement in software development projects T2 - Software Engineering for Games in Serious Contexts N2 - 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. KW - Leaderboard KW - Gamification KW - Software testing KW - Software development Y1 - 2023 SN - 978-3-031-33337-8 (Print) SN - 978-3-031-33338-5 (Online) U6 - http://dx.doi.org/10.1007/978-3-031-33338-5_11 SP - 243 EP - 263 PB - Springer CY - Cham ER - TY - CHAP A1 - Eggert, Mathias A1 - Winkelmann, Axel A1 - Lohmann, Patrick A1 - Knackstedt, Ralf T1 - The Regulatory Influence On Management Information Systems - A Contingency Perspective T2 - ECIS 2013 Completed Research. 9 Y1 - 2013 N1 - Proceedings of the 21st European Conference on Information Systems ER - TY - CHAP A1 - Eggert, Mathias A1 - Weber, Jannik T1 - What drives the purchase decision in Instagram stores? T2 - ECIS 2023 Research Papers N2 - 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. KW - Instagram store KW - shopping behavior KW - purchase factor KW - PLS KW - structural equation model Y1 - 2023 N1 - ECIS 2023, European Conference on Information Systems, Kristiansand, Norway, June 11.-16. SP - 1 EP - 17 ER -