Refine
Year of publication
- 2019 (10) (remove)
Document Type
- Book (9)
- Doctoral Thesis (1)
Is part of the Bibliography
- yes (10)
Institute
- ESB Business School (8)
- Informatik (1)
- Technik (1)
Publisher
- Universität Tübingen (10) (remove)
In der Vergangenheit ist der Materialfluss meist mit der Produktion gewachsen. Mit steigender Produkt-Individualität erhöht sich die Anzahl der zu fertigenden Varianten in der Produktion und somit die Komplexität der Materialflüsse. Im Rahmen dieser Arbeit wurden Möglichkeiten und Methoden zur Aufnahme und Optimierung von Materialflüssen im Zusammenhang mit hoher Variantenvielfalt untersucht.
Based on a survey among customers of seven German municipal utilities, we estimate hierarchical multiple regression models to identify consumer motivations for participating in P2P electricity trading and develop implications for marketing strategies for this currently relatively unknown product. Our results show a low importance of socio-demographics in explaining differences between consumer groups, but high influence of attitudes, knowledge and likelihood to purchase related products. The most valuable target groups for P2P electricity trading marketing strategies of municipal utilities first and foremost should aim at are innovators, especially prosumers. They are well-informed about and open minded concerning electricity sharing and highly environmentally aware. They ask for transparency and are willing to purchase related products. They are attracted by the ability to share generation and consumption and to a lesser extent by economic reasons. Our results indicate that the marketing efforts should to a special degree take peer effects into account, as they are found to wield great influence on general openness towards and purchase intention for P2P electricity products. Finally, municipal utilities should build on the high level of satisfaction and trust of consumers and use P2P electricity trading as measure to keep and win customers willing to change their supplier.
The sound of brands
(2019)
The aim of this research paper is to both examine and conceptualise the concept of audio branding. Audio branding is an important part of the overall brand management concept and corporate identity. Strong brands ease the choice for customers and convey values and a certain quality promise. Branding is of vital importance. It needs to be acknowledged that only 0.004% of all outer stimuli reach the human consciousness. Therefore, audio branding is a way to further strengthen the overall brand awareness. This leads to an emotional connection with a brand.
This study strives to determine the characteristics of audio branding and to analyse the corporate audio branding of Audi. The result of this research study is the suggestion of the use of audio branding in a way that fits the overall brand picture. Otherwise, the brand communication is inconsistent, and this could lead to a misunderstanding of the brand values for customers. The analysis of the Audi corporate sound design might be beneficial for practitioners. The overall evaluation of the concept of audio branding contributes to the existing body of literature in branding.
Der Halo-Effekt im Fußball
(2019)
Der Halo-Effekt ist eine aus der Sozialpsychologie bekannte kognitive Verzerrung. Er tritt dann auf, wenn ein globaler Eindruck oder eine Information über ein hervorstechendes Merkmal die Beurteilung anderer Eigenschaften prägt. Im vorliegenden Beitrag soll der Frage nachgegangen werden: Gibt es einen Halo-Effekt im Fußball? Überstrahlt der sportliche Erfolg bzw. Misserfolg eines Vereins andere sportliche Aspekte? Verzerrt der sportliche Erfolg bzw. Misserfolg die Wahrnehmung der Fans hinsichtlich nicht-sportlicher Aspekte?
Eine hohe Werbewirkung erreichen, die sich durch Kreativität von Wettbewerbern absetzt und das mit geringen finanziellen Mitteln - das ist eine Wunschvorstellung für viele Start-Ups. Doch offen bleibt die Frage nach dem Wie. Eine Möglichkeit, dieses Ziel zu erreichen, bildet das Low Budget Guerilla Marketing.
Die vorliegende Arbeit beschäftigt sich damit, wie Guerilla Marketing mit einem überschaubaren Budget erfolgreich umgesetzt werden kann. Den Rahmen für die Analyse bildet die Erfolgsfaktorenforschung. Erarbeitet werden entscheidend Erfolgs- und Misserfolgsfaktoren des Low Budget Guerilla Marketing.
Die meisten Manager-Jobs im Bundesliga-Fußball gehen an ehemalige Spieler. Also an Männer, die ihr Leben früh dem Fußball gewidmet und auf eine spezifische Sportmanagement-Ausbildung verzichtet haben. Bei den Vereinen findet heute ein Umdenken statt - ein erster Club bietet durch ein Konzept ganz neue Möglichkeiten: Der VFB Stuttgart hat mit der "VfB Stuttgart Akademie" ein regionales Netzwerk für Bildung geschaffen, das in Deutschland einzigartig ist.
Das Flaggschiff der VfB Stuttgart Akademie ist der sogenannte "VfB-Master", ein berufsbegleitendes Masterstudium namens "MBA Leadership and Sports Management", das eigens für die VfB Stuttgart Akademie von der HfWU Nürtingen-Geislingen und dem Deutschen Institut für Sportmarketing in enger Abstimmung mit dem VfB Stuttgart maßgeschneidert entwickelt wurde und das die beiden Themen Sport und Wirtschaft auf außergewöhnliche Art und Weise miteinander verknüpft.
Smart Stadiums eignen sich als Testfeld für die Smart City, um die Lücke zwischen der Forschung und der Anwendung von Internet of Things Technologien in der Praxis zu schließen. Gleichzeitig können Stadionbetreiber durch die Monetarisierungspotenziale des Smart Stadium Konzeptes ihre Arena zu einem Profit Center ausbauen. Die Erreichung einer Technologieakzeptanz bei den Zuschauern durch die Schaffung von Synergieeffekten zwischen Stadionbetreibern, Technologieanbietern und der Wissenschaft unter Berücksichtigung der kulturellen Besonderheiten im jeweiligen Markt kann dabei als kritischer Erfolgsfaktor für die Nutzengenerierung der verschiedenen Stakeholder eines Smart Stadiums angesehen werden.
Indicators of disruption potentials - analysis of the blockchain technology’s potential impact
(2019)
The goal of this paper was to answer the question whether blockchain has the potential to become a disruption according to Clayton Christensen’s disruption theory. Therefore, the theory and the five characteristics that define the process of disruption were outlined in the first part of the paper. That and the following explanation of the blockchain technology served as the basis for the analysis and evaluation in chapters four to seven. For the analysis, three applications of the DLT, namely payment methods, intermediaries, as well as data storage and transfer, were considered. The fulfillment of the five characteristics of disruption was assessed using an example for each of the three applications.
Additionally, the paper might serve as a basis for future research on the topic, once the technology develops further, since it is generally hard to tell whether the fourth and fifth characteristics are fulfilled by blockchain at this point. Therefore, the results of the paper also back criticism of Christensen’s theory regarding its usefulness for predictions.
This paper suggests that, in the financial services industry, too, the impact of blockchain will be significant. However, given the manifoldness of the services that are part of the industry, it cannot generally be concluded whether the DLT will disrupt the industry. For example, in services related to payment methods, blockchain is unlikely to follow disruptive pattern, despite the recent hype surrounding blockchain-based cryptocurrencies. However, regarding data storage and transfer, the technology might as well follow disruptive pattern in the financial services industry just as the application of blockchain solutions has been doing in the healthcare industry.
Ever since the 1980s, researchers in computer science and robotics have been working on making autonomous cars. Due to recent breakthroughs in research and devel- opment, such as the Bertha Benz Project [ZBS+14], the goal of fully autonomous vehicles seems closer than ever before. Yet a lot of questions remain unanswered. Especially now that the automotive industry moves towards autonomous systems in series production vehicles, the task of precise localization has to be solved with automotive grade sensors and keep memory and processing consumption at a mini- mum. This thesis investigates the Simultaneous Localization and Mapping (SLAM) prob- lem for autonomous driving scenarios on a parking lot using low cost automotive sensors. The main focus is herby devoted to the RAdio Detection And Ranging (RADAR) sensor, which has not been widely analyzed in an autonomous driving scenario so far, even though they are abundant in the automotive industry for ap- plications such as Adaptive Cruise Control (ACC). Due to the high noise floor, the radar sensor has widely been disregarded in the Intelligent Transportation Systems and Robotics communities with regards to SLAM applications. However in this thesis, it is shown that the RADAR sensor proves to be an affordable, robust and precise sensor, when modeling its physical properties correctly. In this regard, a GraphSLAM based framework is introduced, which extracts features from the RADAR sensor and generates an optimized map of the surroundings using the RADAR sensor alone. This framework is used to enable crowd based localization, which is not limited to the RADAR sensor alone. By integrating an automotive Light Detection and Ranging (LiDAR) and stereo camera sensor, a robust and precise localization system can be built that that is suitable for autonomous driving even in complex parking lot scenarios. It it is thereby shown that the RADAR sensor is strongly contributing to obtaining good results in a sensor fusion setup. These results were obtained on an extensive dataset on a parking lot, which has been recorded over the course of several months. It contains different weather conditions, different configurations of parked cars and a multitude of different trajectories to validate the approaches described in this thesis and to come to the conclusion that the RADAR sensor is a reliable sensor in series autonomous driving systems, both in a multi sensor framework and as a single component for localization.