The field of industrial music technology, as well as academic research on music technology, strives for a high innovation potential and depends on it. Therefore, it would make a lot of sense if both areas were in an intensive exchange and cooperative collaboration. In the experience of the two authors, this is the case only to a very small extent. In this paper, observations of islands in research and development are presented. Actions are shown with which attempts were made to establish the transfer between the two areas. On the basis of the experience of the authors where this has more or less worked, it is analysed which factors are decisive for the fact that it is still extremely difficult to establish the transfer. In view of these factors, suggestions are made as to how a better degree of transfer can be achieved in the future.

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.

ADVANCES IN ENGINEERING RESEARCH 3D printing is, without any doubt, a paradigm-switching technology in industrial production. Therefore, it is not surprising that several papers in the engineering field deal with topics related to 3D printing. The most common 3D-printing process, Fused Filament Fabrication, is used by Vasile Ermolai, Alexandru Sover, and Gheorghe Nagit to design and test multi-material flexure hinges. The research collaboration of Ismail Hakki Tekiner, Anke Knoblauch, Bahar Özatila, and Murat Ay presented on soft matter physics that can set the biological clock of industrial food sciences and (bio)technology. Martin Michalak, Marius-Andrei Boca, and Alexandru Sover characterized various welding notch designs and quantified their impact on the mechanical properties of 3D-printed PLA parts, which are joined using a so-called 3D pen. Stefan Geißelsöder and Andriy Narovlyanskyy looked in-depth at the intelligence of interacting autonomous robots and virtual agents. Anette Lang, Marius-Andrei Boca, and Alexandru Sover investigated the influence of cooling conditions during 3D printing on the switching temperature of a TPU with SME. Further work also focused on the product design and its resulting characteristics from 3D printing. Alexandru Sover, Markus Zink, Marius-Andrei Boca, and Thomas Schönbucher present the development of 3D-printed recyclable jointless plastic grippers for medical application that are based on the design of compliant mechanisms. Furthermore, Silviu-Christian Eva, Alexandru Sover, and Vasile Ermolai analyzed the impact of the G-Code flavor on the 3Dprinting process. Another current topic in the engineering session were the possibilities and limitations of computer science and its application for communication and industrial demands. Adapting new and disruptive technologies is highly relevant for modern industry, but the providers of such technologies pay surprisingly less attention. In their paper, Beatriz Garcia-Ortega, Daniel Catala-Perez, Blanca De-Miguel-Molina, and María De-MiguelMolina classify the intrinsic risk factors related to their specific nature, grouped by subjects, along with the potential derived negative impacts on their businesses. The session was closed by Ana Isabel Almerich-Chulia, Jesica Moreno-Puchalt who showed potential perspectives of 3D laser scanner for real life domains. BUSINESS 1 The workshop Business one started with three papers in the area of circular economy. Joaquín Sanchez-Planelles, Yolanda Trujillo-Adriá, Belén Silva-Cardenas, and María de Miguel-Molina gave a first introduction on how to set the basis for further research by II Scientific overview 4th International Conference Business Meets Technology. Ansbach 7th – 9th July 2022 defining key concepts and testing them with cases in the hotel and restaurant sector. M Rosario Perello-Marín, Conrado Carrascosa-Lopez, María de Miguel-Molina, and Miguel Angel Mas Gil analyzed existing labels looking for their content with respect to circular economy goals to help understand which aspects are already covered and how especially small and medium size enterprises could, in the long run, better communicate their advances in this area and thus gaining a new instrument for publicity., María de MiguelMolina, Virginia Santamarina-Campos, Marival Segarra-Oña, Ángel Peiró-Signes and Daniel Catalá-Pérez concluded this part of the workshop by presenting their focus group design and preliminary results for information gathering in the tourism sector in the Valencia region. Benjamin Korder, Julien Maheut, and Matthia Konle showed the first results of their literature review on the subject of the Ripple Effect in Supply Chains. Ines Diez-Martinez and Angel Peiró-Signes presented their results of an in-depth analysis of possible causal conditions for understanding differences in environmental orientation when innovating. This paper is not included in the proceedings. Cornelius Pöpel and Egbert Jürgens analyzed the challenge of overcoming the separation between academia and industry in the field of music technology, giving examples of their own experience and showing preliminary possibilities for explaining why most promising ideas in academia will never end up helping industry in reaching their goals as a basis for generating ideas for overcoming those barriers. Rebecca Oberst, Barbara Hedderich, Blanca de Miguel-Molina, and Daniel Catalá-Pérez summed up some suggestions for reducing stress for first-semester students, which were also based on a survey. BUSINESS 2 In Business two, Christian A. Gebhard showed through the analysis of interview results that there is still considerable potential in building up China competence at enterprise levels. This paper is not included in the conference proceedings. Angel Peiró-Signes and Oscar Trull-Dominguez showed an interesting analysis of human pressure on the Hawaiian Islands, thus testing a possible methodology for measuring such effects in the controlled environment of an island. This paper is also not included in the proceedings. Ritam Garg introduced the necessity of a new perspective when analyzing cross-cultural collaboration. He presents indigenous management concepts as a promising approach for overcoming the limitations of the more classical management literature. Eva Didion, María Rosario PerellóMarín, Ute Ambrosius, and Daniel Catalá Pérez introduced a possible research agenda based on a structured literature review. INFORMATION SYSTEMS The session started with a review on potential usages of virtual reality in design research and practice by Sebastian Stadler. Carsten Lanquillon and Sigurd Schacht illustrate how cognitive agents grounded on continuously enhanced knowledge graphs constructed based III Scientific overview 4th International Conference Business Meets Technology. Ansbach 7th – 9th July 2022 on state-of-the-art AI solutions and appropriate feedback mechanisms for quality assurance can support organization and domain-specific knowledge management. Pavlina Kröckel, Alexander Piazza, and Pascal Wessel demonstrate that emotion recognition software captures unexpected emotional reactions from football coaches, which could then be used to calculate statistics and increase fan engagement and entertainment. A digital study assistant based on conversational Artificial Intelligence that meets the multi-faceted needs of students in their day-to-day studies is presented by Sophie Henne, Vanessa Mehlin, Elena Schmid, and Sigurd Schacht. The assistant acts as a communicator, a motivator, and an analyzer and supports mentoring. The session on information systems was closed by a review of the use of machine learning techniques in eco-innovation research by Inés Diez Martinez and Ángel Peiró Signés. EDUCATION The closing session Education and Teaching Sciences was opened by Christian A. Gebhard, who introduced the profile of learners of Chinese. Christian Riess, Michael Walter, Maria Tyroller, Lisa Gomolka, and Johannes Augustin showed benchmarks for a learning experience with real prototypes. Patrick Gröner, Barbara Hedderich, and Lena Dittrich gave an overview of the different possibilities a model project offers for giving Universities of Applied Sciences a chance to train their staff. Christian A. Gebhard and Monica BaudraccoKastner pleaded not to forget the positive experiences of online teaching, basing their recommendations on several surveys with students. POSTER SESSION The exhibition was set up for the first time in the conference series and gave young researchers and students the possibility to present their work to an international scientific audience. The Executive Summaries of selected contributions are included in the conference proceedings. Mascha-Lea Fersch, Sophie Henne, Vanessa Mehlin, Sigurd Schacht, Elena Schmid, Vincent Su talked about the project “DIAS” which introduces a digital intelligent study assistant at the University of Applied Sciences Ansbach. Janine Riemann gave insights on the influence of virtual reality on the feeling of hunger and the consequences for the feeling of satiety and food cravings, while Markus Kenderes took a closed look on sustainability at the UAS Ansbach. Annika Bölz and Sibylle Gaisser analyzed the public perception of nonpharmacological interventions for COVID-19-pandemic containment. Finally, Sibylle Gaisser and Christopher Hain took into account pattern recognition programming to predict the productivity of Yarrowia lipolytica DSM 3286 for citric acid production.

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.

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.