@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} } @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} } @inproceedings{BeckerEggertFleischeretal.2013, author = {Becker, J{\"o}rg and Eggert, Mathias and Fleischer, Stefan and Knackstedt, Ralf}, title = {How to Teach Regulatory Compliant Data Warehouse Engineering?}, series = {Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois, August 15-17, 2013.}, booktitle = {Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois, August 15-17, 2013.}, pages = {10 S.}, year = {2013}, language = {en} } @inproceedings{BeckerEggertBruningetal.2013, author = {Becker, J{\"o}rg and Eggert, Mathias and Bruning, Dennis and Saat, Jan}, title = {Applicability of Business Process Model Analysis Approaches - A Case Study in Financial Services Consulting}, series = {Wirtschaftsinformatik Proceedings 2013}, booktitle = {Wirtschaftsinformatik Proceedings 2013}, pages = {1181 -- 1195}, year = {2013}, language = {en} } @inproceedings{BeckerEggertSaatetal.2013, author = {Becker, J{\"o}rg and Eggert, Mathias and Saat, Jan and Dirding, Philipp}, title = {The Influence of Regulation on Data Warehouse Engineering - Investigating an IT Consulting Case in the Financial Service Industry}, series = {Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois, August 15-17, 2013.}, booktitle = {Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois, August 15-17, 2013.}, pages = {1 -- 8}, year = {2013}, 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{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{BeckerEggertFleischeretal.2012, author = {Becker, J{\"o}rg and Eggert, Mathias and Fleischer, Stefan and Heddier, Marcel and Knackstedt, Ralf}, title = {Data Warehouse Design and Legal Visualization - The Applicability of H2 for Reporting}, series = {Proceedings of the 23rd Australasian Conference on Information Systems 2012}, booktitle = {Proceedings of the 23rd Australasian Conference on Information Systems 2012}, pages = {11 S.}, year = {2012}, language = {de} } @inproceedings{BeckerEggertHeddieretal.2012, author = {Becker, J{\"o}rg and Eggert, Mathias and Heddier, Marcel and Knackstedt, Ralf}, title = {Merging Conceptual Modeling and Law for Legally Compliant Information Systems Design - A Framework-Based Research Agenda}, 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.2012.428}, pages = {5241 -- 5248}, year = {2012}, language = {en} } @inproceedings{BeckerEggertSchwittay2012, author = {Becker, J{\"o}rg and Eggert, Mathias and Schwittay, Sebastian}, title = {How to Evaluate the Practical Relevance of Business Process Compliance Checking Approaches?}, series = {Multikonferenz Wirtschaftsinformatik 2012 - Tagungsband der MKWI 2012}, booktitle = {Multikonferenz Wirtschaftsinformatik 2012 - Tagungsband der MKWI 2012}, editor = {Mattfeld, Dirk Christian}, publisher = {Institut f{\"u}r Wirtschaftsinformatik}, address = {Braunschweig}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:084-13011115376}, pages = {849 -- 862}, year = {2012}, language = {en} } @inproceedings{HammerViethMaier2005, author = {Hammer, Andreas and Vieth, Matthias and Maier, Frank}, title = {Co-Plot as a new multivariate analysis method for operations management research?}, series = {Papers of the 12th International EurOMA Conference on Operational and Global Competitiveness, Budapest, Hungary, June 19-22, 2005 / Editor: Krisztina Demeter}, booktitle = {Papers of the 12th International EurOMA Conference on Operational and Global Competitiveness, Budapest, Hungary, June 19-22, 2005 / Editor: Krisztina Demeter}, isbn = {963-218-455-6}, pages = {1007 -- 1016}, year = {2005}, language = {en} } @inproceedings{KrollLudwigs2016, author = {Kroll-Ludwigs, Kathrin}, title = {Rechtswahl und Gerichtsstandsvereinbarungen}, series = {Die neue Europ{\"a}ische Erbrechtsverordnung}, booktitle = {Die neue Europ{\"a}ische Erbrechtsverordnung}, editor = {Lipp, Volker and M{\"u}nch, Joachim}, publisher = {Deutscher Notarverlag}, address = {Bonn}, isbn = {978-3-95646-062-3}, pages = {65 -- 97}, year = {2016}, 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 movements 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{EggertChwallekWollf2022, author = {Eggert, Mathias and Chwallek, Constanze and Wollf, Frederik}, title = {The role of environmental factors for the success of digital start-ups}, series = {ECIS 2022 Research Papers}, booktitle = {ECIS 2022 Research Papers}, pages = {1 -- 16}, year = {2022}, abstract = {Digital start-ups are perceived as an engine for innovation and job promotor. While success factors for non-IT start-ups have already been extensively researched, this study sheds light on digital entrepreneurs, whose business model relies primarily on services based on digital technologies. Applying the Grounded Theory method, we identify relevant environmental success factors for digital entrepreneurs. The study's research contribution is threefold. First, we provide 16 relevant and less relevant environmental success factors, which enables a comparison with prior identified factors. We found out that several prior environmental success factors, such as accessibility to transportation or the availability of land and facilities are less relevant for a digital entrepreneur. Second, we derive and discuss hypotheses for the influence of these factors on digital start-up success. Third, we present a theoretical model that lays the foundation for explaining the environmental influence on digital entrepreneurship success.}, language = {de} } @inproceedings{BertschMeineckeWolfetal.2019, author = {Bertsch, Timo and Meinecke, Matthias and Wolf, Martin and Schmunk, Karina}, title = {Smart-Living-Services nur gegen Daten? Process-Mining als M{\"o}glichkeit zur Steigerung der Akzeptanz!}, series = {Angewandte Forschung in der Wirtschaftsinformatik 2019 : Tagungsband zur 32. AKWI-Jahrestagung / hrsg. von Martin R. Wolf, Thomas Barton, Frank Herrmann, Vera G. Meister, Christian M{\"u}ller, Christian Seel}, booktitle = {Angewandte Forschung in der Wirtschaftsinformatik 2019 : Tagungsband zur 32. AKWI-Jahrestagung / hrsg. von Martin R. Wolf, Thomas Barton, Frank Herrmann, Vera G. Meister, Christian M{\"u}ller, Christian Seel}, publisher = {mana-Buch}, address = {Heide}, isbn = {978-3-944330-62-4}, pages = {216 -- 226}, year = {2019}, abstract = {Seit Jahren etablieren sich Technologien in unserem Alltag, die mit Hilfe von smarten Komponenten neue Services und Vernetzungsm{\"o}glichkeiten schaffen. Dieses Paper beschreibt die Ergebnisse einer Studie, die die Akzeptanz von IoT-gest{\"u}tzten, smarten Services im privaten Umfeld untersucht. Dabei wird eine zentrale Datenverarbeitung mit automatisierter Erstellung smarter Services der dezentralen Datenverarbeitung mit manueller Serviceerstellung in sieben Kategorien gegen{\"u}bergestellt. Die Auswertung der Studie legt die Forschungsfrage nahe, ob das Nutzerverhalten im Kontext Smart Living nicht auch mit einem dezentralen L{\"o}sungsansatz, und somit unabh{\"a}ngig von großen Unternehmen, analysiert werden kann. Hierf{\"u}r wird im zweiten Teil des Papers die Anwendbarkeit von Process-Mining im Bereich Smart Living untersucht und prototypisch getestet.}, language = {de} } @inproceedings{KohlFreyerKraemeretal.2023, author = {Kohl, Philipp and Freyer, Nils and Kr{\"a}mer, Yoka and Werth, Henri and Wolf, Steffen and Kraft, Bodo and Meinecke, Matthias and Z{\"u}ndorf, Albert}, title = {ALE: a simulation-based active learning evaluation framework for the parameter-driven comparison of query strategies for NLP}, series = {Deep Learning Theory and Applications}, booktitle = {Deep Learning Theory and Applications}, editor = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-39058-6 (Print)}, doi = {10.1007/978-3-031-39059-3_16}, pages = {235 -- 253}, year = {2023}, abstract = {Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance. However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP. The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.}, 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} } @inproceedings{FreyerThewesMeinecke2023, author = {Freyer, Nils and Thewes, Dustin and Meinecke, Matthias}, title = {GUIDO: a hybrid approach to guideline discovery \& ordering from natural language texts}, series = {Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1}, booktitle = {Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1}, editor = {Gusikhin, Oleg and Hammoudi, Slimane and Cuzzocrea, Alfredo}, isbn = {978-989-758-664-4}, issn = {2184-285X}, doi = {10.5220/0012084400003541}, pages = {335 -- 342}, year = {2023}, abstract = {Extracting workflow nets from textual descriptions can be used to simplify guidelines or formalize textual descriptions of formal processes like business processes and algorithms. The task of manually extracting processes, however, requires domain expertise and effort. While automatic process model extraction is desirable, annotating texts with formalized process models is expensive. Therefore, there are only a few machine-learning-based extraction approaches. Rule-based approaches, in turn, require domain specificity to work well and can rarely distinguish relevant and irrelevant information in textual descriptions. In this paper, we present GUIDO, a hybrid approach to the process model extraction task that first, classifies sentences regarding their relevance to the process model, using a BERT-based sentence classifier, and second, extracts a process model from the sentences classified as relevant, using dependency parsing. The presented approach achieves significantly better resul ts than a pure rule-based approach. GUIDO achieves an average behavioral similarity score of 0.93. Still, in comparison to purely machine-learning-based approaches, the annotation costs stay low.}, language = {en} } @inproceedings{EggertSchadeBroehletal.2024, author = {Eggert, Mathias and Schade, Maximilian and Br{\"o}hl, Florian and Moriz, Alexander}, title = {Generating synthetic LiDAR point cloud data for object detection using the Unreal Game Engine}, series = {Design Science Research for a Resilient Future (DESRIST 2024)}, booktitle = {Design Science Research for a Resilient Future (DESRIST 2024)}, editor = {Mandviwalla, Munir and S{\"o}llner, Matthias and Tuunanen, Tuure}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-61174-2 (Print)}, doi = {10.1007/978-3-031-61175-9_20}, pages = {295 -- 309}, year = {2024}, abstract = {Object detection based on artificial intelligence is ubiquitous in today's computer vision research and application. The training of the neural networks for object detection requires large and high-quality datasets. Besides datasets based on image data, datasets derived from point clouds offer several advantages. However, training datasets are sparse and their generation requires a lot of effort, especially in industrial domains. A solution to this issue offers the generation of synthetic point cloud data. Based on the design science research method, the work at hand proposes an approach and its instantiation for generating synthetic point cloud data based on the Unreal Engine. The point cloud quality is evaluated by comparing the synthetic cloud to a real-world point cloud. Within a practical example the applicability of the Unreal Game engine for synthetic point cloud generation could be successfully demonstrated.}, language = {de} }