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It is a fundamental right of every natural person to control which personal information is collected, stored and processed by whom, for what purposes and how long. In fact, many (cloud based) services can only be used if the user allows them broad data collection and analysis. Often, users can only decide to either give their data or not to participate in communities. The refusal to provide personal data results in significant drawbacks for social interaction. That is why we believe that there is a need for tools to control one's own data in an easy and effective way as protection against economic interest of global companies and their cloud computing systems (as data collector from apps, mobiles and services). Especially, as nowadays everybody is permanently online using different services and devices, users are often lacking the means to effectively control the access to their private data. Therefore, we present an approach to manage and distribute privacy settings: PRIVACY-AVARE is intended to enable users to centrally determine their data protection preferences and to apply them on different devices. Thus, users gain control over their data when using cloud based services. In this paper, we present the main idea of PRIVACY-AVARE.
Mit dem Fitnessboom in Deutschland profitiert auch die Nahrungsergänzungsmittelindustrie. Auf Social-Media-Kanälen wie Instagram wird immer sichtbarer wie Influencer der Fitnessbranche mit Produktplatzierungen für Nahrungsergänzungsmittel werben. Diese Arbeit untersucht das neue Marketingphänomen des Influencer Marketings bezogen auf die Nahrungsergänzungsmittelindustrie der Fitnessbranche in Deutschland. Für die Untersuchung wurde eine persönliche Befragung von Fitnessstudiobesuchern durchgeführt. Die Ergebnisse der Studie zeigen, dass das Influencer Marketing eine Rolle für den Erfolg von Herstellern der Nahrungsergänzungsmittelindustrie haben kann und diese neue Marketingdisziplin voller Potenzial steckt.
The thesis introduces a case study research presenting the transfer pricing problem of a selected MNE. Hereby, the researcher derives an appropriate method for the case and concludes with a comparison of theory and practice. The theoretical part of the thesis evaluates existing transfer pricing methods as explained by the OECD, Germany and the USA. The second part is about the choice of the research methodology, case study research and expert interview.
The third part first introduces the case study, analyzes a theoretical framework of the transfer pricing process and evaluates the existing transfer pricing methods, which allows for the derivation of the most appropriate transfer pricing method for the case. The fourth part concludes the research by applying the derived transfer pricing method, the Cost Plus Method, to the particular case study. By combining theoretical and practical approaches, a solution to the problem is determined.
Digitalization has made business virtual. As the current workforce is slowly adapting to it, the “digital natives” come into play.
We all know, that Millennials have a different approach to media and virtuality. They are practically born with it. But how would they perform if they had to use virtual media in a professional setting? Does the experience and the technology surrounded upbringing give them a clear advantage? Or will they struggle with this entirely new dimension of communication the same way older generations do? This Thesis focusses on the challenges of virtual teams, predominantly in cross cultural situations. But especially on how Millennials tackle virtual teams in a global setting, if they did not have extensive prior preparation.
The first part tries to identify the theoretical background of this paper – the classical challenges of cross-cultural communication in virtual teams but also the willingness of Millennials to use digital work tools for their future.
The main segment then introduces data and observations collected on the GVT project - a pilot project from the Hochschule Furtwangen University, where students from Spain, Finland and Germany took part in a simulation of virtual teamwork. In groups, these students had to develop a project about Erasmus at their university – but purely virtual to experience physical borders in teams.
A pre-survey and a post survey have been carried out on this group to analyze and investigate how perception and reality differ. Furthermore, the participants left testemonials and many virtual meetings were monitored.
This Thesis will conclude with chapter 3 to show if Millennials have a valid advantage in working with virtual teams. It will also show the necessity to train young people and change our education to a more digital approach, as business will inevitably become increasingly virtual.
Age-related changes in trunk muscle activity and spinal and lower limb kinematics during gait
(2018)
Trends and Advances in the Characterization of Gas Sensing Materials Based on Semiconducting Oxides
(2018)
Die Frage ob das Elektroauto mittelfristig den Verbrenner in Deutschland ablösen wird beschäftigt momentan Politik und Medien. Aktuell stellen Elektroautos trotz staatlicher Förderung noch ein Nischenprodukt am deutschen Pkw-Markt dar. Die vorliegende Arbeit untersucht innerhalb einer ausführlichen Marktanalyse von Sekundärdaten ob und gegebenenfalls wann Elektroautos in Deutschland den Massenmarkt ansprechen werden. Hierzu wird der deutsche Pkw-Markt mithilfe von Modellen der Diffusionsforschung untersucht. Ziel der Diffusionsforschung ist es, die Verbreitung einer Innovation am Markt im Zeitverlauf zu beschreiben und zu erklären. Es wird dabei herausgearbeitet: welche Käufer Elektroautos momentan ansprechen, welche Faktoren erfüllt sein müssen, dass sich Elektroautos am Massenmarkt in Deutschland durchsetzen können und welche Faktoren den Verlauf der Verbreitung von Elektroautos in Deutsch¬land in Zukunft beeinflussen werden. Aus Basis der gewonnen Erkenntnisse wird schließlich eine Prognose zur zukünftigen Verbreitung von Elektroautos in Deutschland erstellt.
Social Innovations in the extended Lake Constance area – an overview of the current activities
(2018)
In recent years the importance of social innovation for societies is rising. Therefore, the European Union realized, that political goals can be successfully achieved through social innovations.1 The concept is offering solutions for social challenges broadly based and in a variety of different fields Thus, the focus of this paper will be to identify social innovation activities in the Lake Constance area and the problems which are being solved through those activities. It will therefore provide a quantitative analysis of the identified projects including the main idea of the activity as well as information about the innovators. The key outcomes of this paper are, that social innovators are mainly focusing on current political challenges such as the refugee crisis. Problems which the society is already facing for a longer period of time, are less focused. It could further be identified, that the majority of social innovators are students or graduates. Also, most of the activities have their origin in bigger cities such as Stuttgart, Karlsruhe or Heidelberg.
Organized, competitive computer gaming, also referred to as eSports, are emerging sports within the sports entertainment industry. The industry generated almost 700 million U.S. Dollar in revenue and leading eSport titles attract millions of viewers to their events. This study aims to explore eSport live broadcasts of four leading titles and their appeal to be used as a communication media for marketers. It adopted secondary data from academic and scientific studies, journals and books from the fields of eSports, business and sports management to examine commercials, product placements, sponsorships and celebrity endorsements in regards of their applicability and effectiveness within eSports. Quantitative research in form of a survey among eSports viewership was carried out to gather data on viewership consumption patterns and perceptions towards said communication instruments and their effectiveness.
Findings suggest that the effectiveness of commercials rely on the timing shown during broadcasts. Product placements can be applied in many ways and show high effectiveness in terms of brand recognition in any form. Celebrity endorsements are highly ambiguous in terms of their applicability and effectiveness.
In this thesis, new methods for text classification are examined and compared to the current software of the DNB. Due to technical changes in the area machine learning in recent years, improvements in text classification have been achieved. The objective is to improve the subject groups allocation of the DNB and to allow a hierarchical classification based on the DDC system. The decision was made on the HDLTex tool, as the structure of the DNB data set and the DDC system, which supports a hierarchical classification, are perfectly designed for it. The use of RNN networks on both hierarchical levels improved the current software situation. Furthermore, the approach was examined, if a combination of the predictions of the two hierarchies levels leads to an additional improvement, which, however, produced a negative result. Both beginners and experts find themselves as readers of this master's thesis in the target group again.
In dieser Arbeit werden neue Verfahren zur Textklassifizierung untersucht und der aktuellen Software der DNB gegenübergestellt. Durch technische Veränderungen im Bereich Machine Learning in den letzten Jahren, konnten Verbesserungen in der Textklassifizierung erzielt werden. Dabei soll die Sachgruppenvergabe der DNB verbessert und anhand des DDC Systems eine hierarchische Klassifizierung ermöglicht werden. Die Entscheidung fiel auf das HDLTex Tool, da die Struktur des Datensatzes der DNB und das DDC System, welche eine hierarchische Klassifizierung unterstützt, perfekt darauf ausgelegt sind. Durch die Nutzung von RNN Netzen auf beiden Hierarchieebenen konnte eine Verbesserung zu der aktuellen Software erzielt werden. Weiterhin wurde der Ansatz untersucht, ob eine Kombinierung der Vorhersagen der beiden Hierarchieebenen zu einer aufbauenden Verbesserung führt, welches jedoch ein negatives Ergebnis hervorbrachte. Sowohl Anfänger als auch Experten finden sich als Leser dieser Masterarbeit in der Zielgruppe wieder.
The main goal of the study is to analyze students’ buying intention towards e-learning program by developing a structural model of e-learning acceptance by the students and analyzing perceived usefulness, perceived ease of use, attitudes, subjective norms, motivations and buying intentions according to the developed model.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.