Informing employees in small and medium-sized firms about training: Results of a randomized field experiment
van den Berg, Gerard J.; Dauth, Christine M.; Homrighausen, Pia; Stephan, Gesine (2022)
Economic Inquiry 61, 1 | 162-178.
DOI: 10.1111/ecin.13111
Open Access Peer Reviewed
THE DIAS PROJECT – Development of an intelligent digital assistant in higher education environments.
Henne, Sophie ; Mehlin, Vanessa ; Schmid , Elena ; Schacht, Sigurd (2022)
Proceedings - 4th International Conference Business Meets Technology 2022, 232-243.
DOI: 10.4995/BMT2022.2022.15537
Open Access Peer Reviewed
Ripple effect in supply chains: a systematic literature review protocol
Korder, Benjamin; Maheut, Julien ; Konle, Matthias (2022)
Proceedings - 4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.15553
Open Access Peer Reviewed
Potential Usages of Virtual Reality in Design Research and Practice. A Review
Stadler, Sebastian (2022)
4th International Conference Business Meets Technology 2022..
DOI: 10.4995/BMT2022.2022.15961
Open Access Peer Reviewed
On Overcoming the Gap between Industry and Academic Research in the Field of Music Technology
Pöpel, Cornelius; Jürgens, Egbert (2022)
Proceedings - 4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.15632
Open Access Peer Reviewed
Having a real prototype of your own product design – small effort but big eureka moment for students
Riess, Christian; Walter, Michael S. J.; Tyroller, Maria; Gomolka, Lisa; Augustin, Johannes; Altieri, Mike (2022)
Riess, Christian; Walter, Michael S. J.; Tyroller, Maria; Gomolka, Lisa...
Proceedings - 4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.15624
Open Access Peer Reviewed
Sustainable recruitment and development of qualified professional staff at universities of applied sciences
Gröner, Patrick; Hedderich, Barbara; Dittrich, Lena (2022)
Proceedings - 4th International Conference Business Meets Technology 2022, 280-285.
DOI: 10.4995/BMT2022.2022.15529
Open Access Peer Reviewed
Project: DIAS – Digital Intelligent Study Assistant
Fersch, Mascha-Lea; Henne, Sophie ; Mehlin, Vanessa ; Schacht, Sigurd; Schmid , Elena ; Sui , Vincent (2022)
Fersch, Mascha-Lea; Henne, Sophie ; Mehlin, Vanessa ; Schacht, Sigurd; Schmid , Elena ...
Proceedings - 4th International Conference Business Meets Technology 2022 .
Open Access Peer Reviewed
A successful study requires an efficient study organization. Not all students succeed in this, especially in distance learning scenarios. In the DIAS project, a digital intelligent assistant for studying and teaching is to be developed. The AI-based assistant will accompany students, motivate them and enable them to better organize and successfully complete their studies. It serves as a planner, communicator, analyzer and motivator. The assistant is being developed in close cooperation with all stakeholders and tested as a model in two degree courses at the University of Applied Sciences Ansbach. An app and an information terminal are to be implemented as exemplary output channels at Ansbach University of Applied Sciences.
Who attends our foreign language courses? A preliminary look into the profile of learners of Chinese
Gebhard, Christian Alexander (2022)
Proceedings - 4th International Conference Business Meets Technology
2022, 256-265.
DOI: 10.4995/BMT2022.2022.15328
Open Access Peer Reviewed
We Are More Equal on Zoom: Inclusion and Personal Relations in the Virtual Classroom. Why We Shouldn’t Abandon What We Have Learned in the Pandemic
Gebhard, Christian Alexander ; Baudracco-Kastner, Monica (2022)
Proceedings - 4th International Conference Business Meets Technology 2022, 286-301.
DOI: 10.4995/BMT2022.2022.15324
Open Access Peer Reviewed
Public Perception of nonpharmacological interventions for COVID-19-pandemic containment
Bölz, Annika; Gaisser, Sibylle (2022)
Proceedings - 4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.16007
Open Access Peer Reviewed
Pattern recognition programming to predict productivity of Yarrowia lipolytica DSM 3286 for citric acid production
Hain, Christopher; Gaisser, Sibylle (2022)
Proceedings - 4th International Conference Business Meets Technology 2022.
DOI: 10.4995/BMT2022.2022.16007
Open Access Peer Reviewed
The non-conventional yeast Yarrowia lipolytica is attracting increasing attention due to its potential to produce large amounts of organic acids from hydrophobic substrates. Due to the steadily increasing demand for citric acid in the industrial sector, the aim of this scientific work was to develop a predictive model of the citric acid productivity of the strain Yarrowia lipolytica DSM3286. As a basis for this, the optical density, pH, cell number and citric acid were determined in 18 identical mixtures.
The citric acid concentration (mean values of the measured concentration over time) follows a linear increase. Based on this, the mathematical calculation operation of linear regression was selected for modeling the prediction model in Python. The following coefficients were determined for the variables used in the learning algorithm:
• time: 6,104 * 10-4
• OD: -1,224 * 10-1
• pH value: -4,043 * 10-1
• Cell count: 1,749 * 10-8
In final validation of the program, a result accuracy of 86.5% was obtained. The result obtained in the present scientific work shows that by means of simple linear regression, over a cultivation period of 13 days, a prediction of the citric acid productivity of strain Yarrowia lipolytica DSM3286 is possible.
Sports marketing innovation: increasing fan engagement via innovative statistics from facial emotion recognition
Kröckel, Pavlina; Piazza, Alexander; Wessel, Pascal (2022)
Proceedings - 4th International Conference Business Meets Technology 2022, 220-231.
DOI: 10.4995/BMT2022.2022.15631
Open Access Peer Reviewed
Technology in football is increasingly used for decision making. Adoption, especially in Germany, has been slow. However, the benefits of data analytics for pre-, and post-match analysis have motivated decision makers to pay attention to the data science trend. Nowadays, football clubs from the third leagues or even amateur clubs are using technology to help them gain a competitive edge. Fan experience, both online and offline (home infront of the TV or at the stadium) is driving the next innovation stage in football. The study presented here is focused on testing and evaluation a facial recognition software on images from football coaches, just a few seconds after an important situation during the match has taken place (e.g., win, goal scored). We demonstrated that, in fact, emotion recognition software captures unexpected emotional reactions from coaches which could then be used to calculate interesting statistics and increase fan engagement and entertainment.
Identification of Low-Dimensional Nonlinear Dynamics from High-Dimensional Simulated and Real-World Data
Paglia, Chiara; Stiehl, Annika; Uhl, Christian (2022)
CONTROLO 2022. Lecture Notes in Electrical Engineering 930, 205-213.
DOI: 10.1007/978-3-031-10047-5_18
Peer Reviewed
Dynamical Component Analysis: Matrix Case and Differential Geometric Point of View
Romberger, Philipp; Warmuth, Monika; Uhl, Christian; Hüper, Knut (2022)
CONTROLO 2022. Lecture Notes in Electrical Engineering 930, 385-394.
DOI: 10.1007/978-3-031-10047-5_34
Peer Reviewed
D-A-CH Update – aktuelle Entwicklungen mit IT-Bezug in Gesetzgebung und Rechtsprechung des vergangenen Jahres in Deutschland, Österreich und der Schweiz
Fehr, Stefanie (2022)
DGRI DreiLänderTreffen vom 30.06.-02.07.22.
Cross-cultural Collaboration for International Trade, and Markets. Case of Indigenous Management Concepts
Garg, Ritam (2022)
Proceedings - 4th International Conference Business Meets Technology 2022, 172-176.
DOI: 10.4995/BMT2022.2022.15543
Open Access Peer Reviewed
Whistleblowing und die aktuellen Entwicklungen
Fehr, Stefanie (2022)
Vortrag auf dem DGRI-Drei-Länder-Treffen, Karlsruhe, 30.06. - 02.07.2022.
Whistleblowing und Datenschutz – ein unlösbares Spannungsfeld?
Fehr, Stefanie (2022)
Zeitschrift für Datenschutz 06/2022, 256-260.
Antibiotic-loaded 2D collagen matrices show high biocompatibility with human fibroblasts
Hänel, Svenja; Ahlers, Michael; Martin, Annette (2022)
Tagungsband 16. ThGOT Thementage Grenz- und Oberflächentechnik und 13. Biomaterial-Kolloquium 14. - 15. Juni 2022.
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