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Course of studies
- IBM - International Business Management (337)
- IBW - Internationale Betriebswirtschaft (255)
- IMM - International Management (78)
- MBA - International Business Management (54)
- BMP - Business Management and Psychology (47)
- EMBA - Executive Master of International Business Management (14)
- MZT - Mikromedizintechnik (11)
- APE - Advanced Precision Engineering (2)
- IEB - International Engineering (2)
- IRCD - International Relations and Cultural Diplomacy (2)
Zombie companies are widely discussed ever since the ‘lost decade’ in Japan. The prolonged recession was experienced for almost two decades and in great deal attributed to the zombie companies. The Eurozone is currently in recession and is experiencing a growing incidence of zombie companies. If this trend is not stopped but encouraged by the negative interest rates, there is a possibility for a prolonged recession or even secular stagnation. This study aims to examine the reasons for the emergence and existence of zombie companies in the past. It discusses the implications zombie companies had on the aggregate macroeconomic indicators. In discusses how zombie companies should be treated and whether they must inevitably be foreclosed. To determine the severity of the problem, it examines the incidence of zombie companies in selected industries in the Euro periphery countries based on their interest coverage ratio (ICR). The results show that there is no significant incidence in the selected markets. It concludes whether currently, the zombie companies are a real threat to the economy of the Eurozone. Furthermore, it suggests ways how the problem of zombie companies should be prevented and treated.
With the increasing environmental awareness and governmental regulations aimed at reduction of CO2 emissions car manufacturers who produce vehicles powered by diesel, or petrol engines, start to develop and produce electric vehicles in order to stay competitive in the market. However, not only conventional car manufacturers who have been successfully operating in the market for many years and do not want to lose their leading position because of this trend but also other companies and start-ups are trying to enter this industry or are already operating in the electric vehicle market. This raise the question whether the business models of the conventional car manufacturers are suitable for achieving success in the electric vehicles market.
This bachelor thesis compares the business models of the BMW Group and Tesla, Inc. in order to identify the differences between the business models of a conventional vehicle manufacturer and an electric vehicle manufacturer. Moreover, it examines the cost structure of both companies and reveals the differences.
Age-related changes in trunk muscle activity and spinal and lower limb kinematics during gait
(2018)
Should I microwave sponges?
(2020)
“Without data, you're just another person with an opinion.” (W. Edwards Deming)
The main objective of this thesis is to establish whether or not a quantitative forecasting method can be utilized by WAFIOS AG for the prediction of future revenues. If so, a data foundation for the forecasting calculations will be defined.
I conducted expert interviews with selected employees in the WAFIOS sales department and performed calculations to analyze the possible methods and indicators that WAFIOS might be able to use in their forecasting process.
The result of this work shows that forecasting the WAFIOS revenue, using a multiple regression analysis and indicators suggested by the sales department of WAFIOS, is not possible. However, during my research and analysis, other potential methods were discovered that might prove useful to WAFIOS and should therefore be examined more closely at a later time.
The goal of this thesis is to evaluate the impact the choice of registered cooperatives as legal form for start-ups can have on the success of crowdfunding campaigns regarding information asymmetry and agency costs. The theoretical analysis argues that due to the reduction of information asymmetry between founders and contributors, agency costs should be reduced,and success of their crowdfunding campaigns should be more likely. This result is confirmed with some caveats with the help of expert interviews. In conclusion, only companies that aim for additional benefits of registered cooperatives are eligible to be founded as registered cooperatives in order to decrease information asymmetry and increase chances of success in crowdfunding.
Throughout the paper, the different concepts are applied to the practical example of the founding process of a social start-up, the Zeitcafé Freiburg, which results in the recommendation of registered cooperatives as legal form and crowdfunding as one source of capital.
MKomics: Omics Data Analysis
(2020)
Nowadays, almost every country in the world classifies cannabis as illegal, nevertheless it is still the most consumed illicit substance in the world. Up until 2019, only two countries worldwide have legalized cannabis completely at national level. In more than 25 countries, cannabis has a partial legal and social accepted status.
While medicinal cannabis was legalized in Germany in 2017, recreational cannabis remains illegal in Germany as per today. The very conservative estimated market value for the German illegal cannabis market is approx. 2.3 billion Euros. Assuming that legalization of recreational cannabis will capitalize the entire or even a major part of the black market of cannabis, the German government would benefit from significant additional tax revenue.
From a political point of view, today there is still a vehement controversy about the legalization of cannabis in Germany. However, experts predict legalization of recreational cannabis in several European countries within the next three to ten years.
Under the assumption that cannabis will be legalized in Germany, sustainable business models were defined within the context of this assignment. As part of this exploratory study, two experts of the cannabis industry were interviewed. On the base of a qualitative content analysis as well as extensive research sustainable business models were defined and evaluated. As a result of the study, a comprehensive recommendation of action was developed.
The current master thesis makes an effort to investigate relationships between perceived service quality, membership satisfaction, and membership loyalty at “Gesellschaft für technische Kommunikation – tekom Deutschland e.V.”, applying adjusted SERVQUAL model. To attain the formulated objectives in scope of the current research, the “Satisfaction – Profit Chain” model is applied, consisting of “Attribute Performance”, represented by SERVQUAL service quality dimensions supposed to serve as antecedent of the second component of the chain “Membership Satisfaction”, and “Membership Loyalty” in order to investigate relations between these three. The findings of the study are supposed to serve as a basis for altering the existing CRM Strategy in order to eliminate current issues within the association, develop strategic marketing capabilities, and create value for members’ attraction and retention.
The signs of global warming are everywhere, ranging from highest record temperatures in cities to mega wildfires in the amazon. Heat is melting ice glaciers, contributing to floods and rising sea levels.
Transportation is one of the largest carbon-emitting sectors and it is difficult to meet the carbon reduction goals without a significant improvement in the change from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs). EVs are capable of reducing transport related emissions. However, the problem is that EVs on their own haven’t convinced consumers to make the switch and there is a role for policy makers to play.
This study seeks to provide recommendations to support policy makers to come up with measures that if adopted, could increase EV uptake in Singapore. A survey questionnaire has been conducted to discover and understand the factors which affects EV buying decision in Singapore in addition to literature review from past studies.
The main concerns of Singapore car drivers of EVs are that they are too expensive, lack of availability of public charging stations and long charging duration. An experimental component in the survey found that providing information on EVs could increase willingness to purchase an EV.
Analysis from other countries shows that successful governmental policies includes first and foremost, financial incentives to make the prices of EVs as competitive as similar ICE models. Other soft incentives were also implemented which acts as a complement at a later stage of adoption.
Recommendations for policy makers includes actions under the following: National goals/legislation/infrastructure, sales support and availability and quality of information which Singapore policy makers can consider to move towards a renewable and sustainable future.
A response to the Global Financial Crisis was the introduction of the Basel III regulatory requirements. The newly adapted Basel accord should incorporate lessons learned such as the need for counteracting the procyclicality of the previous Basel II regulation and the missing liquidity and leverage standards. Spain, however, had already implemented a countercyclical macroprudential instrument as well as granular credit register, for monitoring unfavourable credit developments before this regulation and was still not able to mitigate the double-tip recession that started in 2008.
Therefore, this thesis discusses the financial stability protection potential of macroprudential instruments like the ones implemented with Basel III and macroprudential statistic such as the new credit register AnaCredit. Spain has been taken as an empirical example for examining the instruments’ efficiency due to the pioneering steps towards macroprudential measures.
The results show that Spain had already implemented very useful measures which definitely have the potential of contributing to financial soundness. The amendment to the efficiency of these measures is the prerequisite of continuous improvement and complementary policy actions. Otherwise excessive credit growth developments, which can initiate financial instability, cannot be detected or controlled sufficiently as it was the case in Spain.
The limitation to this analysis is the need for further observation of the developments in the Euro system. This is important especially for the Liquidity and Leverage components of Basel III, as there have not been similar measures implemented in Spain. In the future it has to be monitored if the Basel III instruments and AnaCredit actually detect the vulnerabilities before a systemic collapse or whether the financial development of the countries remains similar to the Spanish development.
Roles and responsibilities regarding HR marketing on online business networks in mid-sized companies
(2020)
This paper discusses the roles and responsibilities in managing online business networks for human resource marketing and then applies these concepts to the case of the German company IMS Gear SE & Co. KGaA. It is important for companies to consider which departments and employees are responsible for social media, as this is the first step to ensure the success of a possible social media strategy.
For the practical part of this paper, a benchmark analysis with four companies and interviews with the employees of IMS Gear were conducted. The findings were used to develop a feasible recommendation for IMS Gear.
The literature review shows that it is not advisable for companies to only have roles and responsibilities regarding business networks and human resource marketing, but that they need a comprehensive strategy for all social media channels and a cross-departmental approach for managing social media. At the end of the paper, a possible team structure for IMS Gear is developed. However, the employees would not have the time to add the necessary roles to their daily working routine. Various ideas have been collected to suggest how the company could still build up an active social media presence and ensure the accomplishment of the tasks connected to social media.
Simulation based Optimization of the Control of a Waste Heat Boiler during an In-House Seminar
(2007)
The rise of digital twins in the manufacturing industry is accompanied by new possibilities, like process automation and condition monitoring, real time simulations and quality and maintenance prediction are just a few advantages which can be realized. This paper takes a novel approach by extracting the fundamental knowledge of a data set from a production process and mapping it to an expert fuzzy rule set. Afterwards, new fundamental augmented data is generated by exploring the feature space of the previously generated fuzzy rule set. At the same time, a high number of artificial neural network (ANN)models with different hyperparameter configurations are created.
The best models are chosen, in line with the idea of survival of the fittest, and improved with the additional training data sets, generated by the fuzzy rule simulation. It is shown that ANN models can be improved by adding fundamental knowledge represented by the discovered fuzzy rules. Those models can represent digitized machines as digital twins. The architecture and effectiveness of the digital twin is evaluated within an industry 4.0 use case.
Cylindrical grinding is an important process in the manufacturing industry. During this process, the problem of grinding burn may appear, which can cause the workpiece to be worthless. In this work, a machine learning neural network approach is used to predict grinding burn based on the process parameters to prevent damage. A small dataset of 21 samples was gathered at a specific machine, grinding always the same element type with different process parameters. Each workpiece got a label from 0 to 3 after the process, indicating the severity of grinding burn. To get a robust neural network model, the dataset has been scaled by augmentation controlled by grinding experts, to generate more samples for training a neural network model. As a result, the model is able to predict the severity of grinding burn in a multiclass classification and it turned out that even with little data, the model performed well.
From functional genomics to personalised medicine: ten years of an ESF Research Networking Programme
(2013)
Educational benefits in biotechnology and bioengineering by using a BioEthanol training simulator
(2012)
A Development Environment for the Rapid Design of Operator Training Simulators for Biotechnology
(2005)