@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} } @article{EggertKnackstedtFleischeretal.2013, author = {Eggert, Mathias and Knackstedt, Ralf and Fleischer, Stefan and Becker, J{\"o}rg}, title = {The Potential of Configurative Reference Modeling for Business to Government Reporting - A Modeling Technique and its Evaluation}, series = {e-Service Journal}, volume = {9}, journal = {e-Service Journal}, number = {1}, publisher = {Indiana University Press}, address = {Bloomington}, issn = {1528-8234}, pages = {28 -- 59}, year = {2013}, language = {en} } @inproceedings{EggertDyong2022, author = {Eggert, Mathias and Dyong, Julian}, title = {Applying process mining in small and medium sized IT enterprises - challenges and guidelines}, series = {Business Process Management, 20th International Conference, BPM 2022, Proceedings}, booktitle = {Business Process Management, 20th International Conference, BPM 2022, Proceedings}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-16103-2}, doi = {10.1007/978-3-031-16103-2_11}, pages = {125 -- 142}, year = {2022}, abstract = {Process mining gets more and more attention even outside large enterprises and can be a major benefit for small and medium sized enterprises (SMEs) to gain competitive advantages. Applying process mining is challenging, particularly for SMEs because they have less resources and process maturity. So far, IS researchers analyzed process mining challenges with a focus on larger companies. This paper investigates the application of process mining by means of a case study and sheds light into the particular challenges of an IT SME. The results reveal 13 SME process mining challenges and seven guidelines to address them. In this way, the paper contributes to the understanding of process mining application in SME and shows similarities and differences to larger companies.}, language = {en} } @article{WeigandCollaniSaniga1994, author = {Weigand, Christoph and Collani, E. v. and Saniga, E.M.}, title = {Economic Adjustment Design for -Control Charts. E.v.Collani, E.M. Saniga, Ch. Weigand}, series = {IIE Transactions / Institute of Industrial Engineers. 26 (1994), H. 6}, journal = {IIE Transactions / Institute of Industrial Engineers. 26 (1994), H. 6}, isbn = {0569-5554}, year = {1994}, language = {en} } @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{BeckerEggertWinkelmannetal.2011, author = {Becker, J{\"o}rg and Eggert, Mathias and Winkelmann, Axel and Knackstedt, Ralf}, title = {Towards a Contingency Theory based Model of the Influence of Regulation on MIS}, series = {Proceedings of the Seventeenth Americas Conference on Information Systems, Detroit, Michigan August 4th -7 th 2011}, booktitle = {Proceedings of the Seventeenth Americas Conference on Information Systems, Detroit, Michigan August 4th -7 th 2011}, year = {2011}, language = {en} } @article{BeverungenEggertVoigtetal.2013, author = {Beverungen, Daniel and Eggert, Mathias and Voigt, Matthias and Rosemann, Michael}, title = {Augmenting Analytical CRM Strategies with Social BI}, series = {International Journal of Business Intelligence Research (IJBIR)}, volume = {4}, journal = {International Journal of Business Intelligence Research (IJBIR)}, number = {3}, publisher = {IGI Global}, address = {Hershey}, issn = {1947-3591}, doi = {10.4018/ijbir.2013070103}, pages = {32 -- 49}, year = {2013}, 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 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} } @article{Weigand2012, author = {Weigand, Christoph}, title = {Statistical Tests Based on Reliability and Precision}, series = {Economic Quality Control : EQC ; international journal for quality and reliability}, volume = {27}, journal = {Economic Quality Control : EQC ; international journal for quality and reliability}, number = {1}, publisher = {De Gruyter}, address = {Berlin}, issn = {1869-6147}, doi = {10.1515/eqc-2012-0002}, pages = {43 -- 64}, year = {2012}, abstract = {The construction of a statistical test is investigated which is based only on "reliability" and "precision" as quality criteria. The reliability of a statistical test is quantifiedin a straightforward way by the probability that the decision of the test is correct. However, the quantification of the precision of a statistical test is not at all evident. Thereforethe paper presents and discusses several approaches. Moreover the distinction of "nullhypothesis" and "alternative hypothesis" is not necessary any longer.}, language = {en} }