@inproceedings{EggertStanke2020, author = {Eggert, Mathias and Stanke, Max-Alexander}, title = {Adoption of Integrated Voice Assistants in Health Care- Requirements and Design Guidelines}, publisher = {GITO}, address = {Berlin}, doi = {10.30844/wi_2020_k2-eggert}, pages = {16 Seiten}, year = {2020}, abstract = {Integrated voice assistants (IVA) receive more and more attention and are widespread for entertainment use cases, such as radio hearing or web searches. At the same time, the health care segment suffers in process inefficiency and missing staff, whereas the usage of IVA has the potential to improve caring processes and patient satisfaction. By applying a design science approach and based on a qualitative study, we identify IVA requirements, barriers and design guidelines for the health care sector. The results reveal three important IVA functions: the ability to set appointments with care service staff, the documentation of health history and the communication with service staff. Integration, system stability and volume control are the most important nonfunctional requirements. Based on the interview results and project experiences, six design and implementation guidelines are derived.}, 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 userĀ“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} } @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} }