Refine
Year of publication
- 2020 (105) (remove)
Document type
- Article (peer-reviewed) (68)
- Bachelor Thesis (14)
- Contribution to a Periodical (7)
- Master's Thesis (5)
- Other (5)
- Report (3)
- Working Paper (3)
Has full text
- Yes (105) (remove)
Keywords
- Electrical impedance tomography (5)
- Bone mineral density (4)
- Exercise (4)
- Umfrage (4)
- Germany (3)
- ARDS (2)
- COVID-19 (2)
- Electrical impedance tomopraphy (2)
- Hygiene (2)
- Inertial measurement unit (2)
The German banking landscape is currently undergoing a paradigm shift of an unprecedented magnitude. As the financial world is changing, the future of German banks is highly uncertain. A multitude of present-day driving factors will shape the banking world of tomorrow. Therefore, this thesis aims to investigate and analyze the future of the German banking sector until 2030. The concept of scenario planning serves as underlying method for this research. Based on current factors influencing the German banking sector, the present thesis systematically develops coherent future scenarios. The generation of these scenarios is performed with the help of the scenario software INKA 4. This enables to assess a comprehensive picture of the future environment and the interactions between external influencing factors. Based on the most consistent future scenario, implications for the strategies of German banks are derived. As a result, German incumbents can question their strategic orientation and position themselves optimally for the future.
This study is aimed at valuing two companies in the IT services industry with different valuation approaches. Therefore, the preconditions for an accurate and meaningful business value as well as the procedure, strengths and limitations of these approaches are examined. Additionally, the accuracy of the results is determined through comparison of valuation estimates with their corresponding stock prices occurring within the three months following the business valuations.
Furthermore, it is examined if one valuation approach is superior in terms of accuracy. Finally, to verify the quality and explanatory power of the valuation results, they are compared with the outcomes of the study on the information content of equity analyst reports by Paul Asquith, Michael B. Mikhail and Andrea S. Au. The results of the business valuations show that within the three-month period, no price target was exactly achieved by the corresponding stock prices.
Furthermore, no valuation approach could be determined that is significantly more accurate than the others. It can be concluded that despite some limitations in the explanatory power of the valuations, the average percentage approximations of Mastercard’s and Visa’s stock prices to target prices were only slightly below those of the comparative study. In view of the fact that the research capacities and experience behind these business valuations are significantly lower than those of the top analysts in the comparative study, the results are considered consistent with the outcomes of the study on the information content of equity analyst reports.
When scaling, startups face managerial challenges and a downfall in innovation. A growing team and the resulting increased communication and organizational complexity bring issues previously not existing. Accountability Systems can assist startups overcome the mentioned issues and maintain their essence of innovation, vital for their success.
This paper discusses the relevance and benefits of implementing formal managerial systems in a growing startup. By mapping out the interdependence of culture, innovation and growth, it is demonstrated how Accountability Systems can support the preservation of an innovative culture when scaling a startup.
In a time when innovation is often disregarded due to a focus on process efficiency, Accountability Systems can provide a valuable tool for managing transition. This thesis serves as a general evaluation of Accountability Systems and their benefits. It is important to note that this paper is not intended to serve as a directly adaptable guide for startups.
An analysis of the inter-rater reliability of ESG ratings within the consumer staples industry
(2020)
The aim of this study is to gain further insights into whether ESG ratings of the same firms from different rating agencies differ. To this end, this study examines and compares in particular the ratings of the providers Bloomberg, Sustainalytics and MSCI for companies in the consumer staples industry. The study comes to the conclusion that there are in some cases significant differences between these three providers in terms of the respective ESG ratings. Furthermore, a company-size bias is shown for Bloomberg and Sustainalytics ESG ratings. It appears that these agencies rate companies with a large market capitalization better than firms with a lower market value. These large discrepancies in ESG ratings of companies within the consumer staples industry and individual rating problems, such as the company-size bias, mean that today's ESG ratings tend to be not reliable and not valid. The study shows that ESG ratings will have to change a lot in the near future in order to contribute positively to the investment selection of socially responsible investors.
What happens in a situation in which an individual is given a quality task for no compensation while knowing that someone else receives a reward for the same effort? If a performance drop occurs, does the individual's fairness sensitivity play a dependent role? These questions are approached theoretically and experimentally within this thesis. As a foundation, the most critical insights from the psychological investigation of extrinsic rewards and its impact on intrinsic motivation and performance are reviewed. Furthermore, relevant findings regarding fairness are introduced from varying fields of research. The conducted double-blind experiment suggests with limited confidence that the higher an individual's fairness sensitivity in a situation of perceived unfair treatment, the lower the performance.
New developments in decentralized ledger technologies may have a huge impact on how we perceive and use money now and in the future. Most notably, it has led to the development of cryptocurrencies and a variation thereof –stablecoins. This thesis discusses the potential impact of Proof of Work based cryptocurrencies such as Bitcoin on the money market and the central bank’s ability to maintain control over the money supply. The IS-LM model is used to evaluate the effects of a private-issued digital currency. However, due to the characteristics of POW based cryptocurrencies, their impact on the money market is neglectable. In contrast, private-issued stablecoins of large international businesses with the potential of gaining enough users to overcome hindering network effects may pose a serious threat to the financial system, if there is no regulation on their usage.
As a response to this development and combined with the phenomenon of a declining cash usage in many countries, central banks have started to conduct research in their own digital currency, namely central bank digital currency (CBDC). Countries such as Sweden or The Bahamas have already started with the implementation of trial phases of their respective CBDC. However, design choices of the country’s digital currency differ due to financial, geographical, and cultural circumstances, among others. Nevertheless, many countries have utilized decentralized ledger technologies as the underlying technology for CBDC, showing its promising potential for further research and future developments.
In the light of incremental environmental degradation, social awareness and resource depletion along with high and volatile resource prices, food packaging manufacturers in Germany increasingly perceive pressure towards the implementation of circular business models. However, there does not exist any data neither about the current deployment of circular business models nor about the active efforts dedicated by manufacturers in the German food packaging industry while in many cases there is lacking expertise of how to implement circular business models. This thesis is going to close this gap by conducting a systematic observation of 41 food packaging manufacturers’ product portfolio and company policy in order to identify the current state of deployment and active efforts dedicated to the implementation. Moreover, the most applicable measures will be analysed in order to capture the level of circularity in the focal industry, while providing a step-by-step guidance of how to implement circular business models. There was found that the German food packaging industry is characterised by an open-loop approach since manufacturers focus on circular inputs but neglect the reuse and recycling of packaging materials. Besides, there could be identified six highly applicable metrics, which measure a range of different fundamental aspects of the circular economy. Finally, there was found that the process of implementing circular business models can be structured into four phases, whereas a set of key enablers permits food packaging manufacturers to overcome certain barriers and facilitates the implementation of circular business models. The conclusion was drawn that food packaging manufacturers in Germany still show noticeable potential for enhancement in order to increase circularity, especially by launching circular product designs, the reuse of certain types of food packaging and implementing a more holistic approach of circular business models.
Funding is the key to success for a start-up. Since start-ups are often operating in innovative industries, they rarely receive loans from traditional debt lenders such as banks. However, start-ups do have the option of acquiring money for company growth through equity financing. One possibility for this is venture capital. In this scope, Germany is significantly behind the United States of America due to various aspects. This problem shows the relevance of the topic and justifies the critical examination of this subject. This work aims to analyze the German venture capital market, its development over the last 20 years, its advantages on the one hand and its disadvantages on the other hand as well as its future perspectives. Beyond that, the differences between the German and the American venture capital market and its success factors are presented. To answer all research questions, a broad literature review in combi-nation with several conducted expert interviews, which are evaluated on the principle of the qualitative content analysis according to Mayring, is applied. The results of the analysis indicate that there are mainly three fields that are crucial for a successful venture capital market: Political actions, attitudes of the society, and the economic situation. Within these fields, some aspects of Germany are considered worse than in the U.S. In the United States of America politics often intervenes to create better conditions for investments via venture capital. Besides, the risk affinity of society in the U.S. is a major advantage compared to the risk-averse society in Germany. This is complemented by a pronounced start-up mentality in the U.S. and the positive attitude of society towards the failure of a new start-up. In Germany, the opposite can be found in both aspects. Nevertheless, the German venture capital market has developed positively in recent years and has some advantages, such as a wide range of government grants for start-ups and the opportunity for investors to earn high returns on the initial investment. All experts that were interviewed are very confident that venture capital in Germany will continue to develop positively. They identified the reasons for this evolution in an increasing number of start-ups and better skills among the founders, which increases a start-ups' chances of success. For this reason, the experts forecast rising yield expectations, as well as an increasing number of venture capital providers, and venture capital takers. This research also indicates that the volumes of venture capital funds will rise, and the COVID-19-pandemic will accelerate the development of venture capital in Germany. The results of the research clearly show that despite some weaknesses, the German venture capital market has been on a good path for several years, and that there is a high probability that the growth will continue in the future.
Collaboration applications for mixed homecare — A systematic review of evaluations and outcomes
(2020)
This thesis proposes the adoption of renewable energies as a means to foster economicdiversification in oil and gas dependent rentier states. Surprisingly, oil and gas endowment does not always imply wealth and prosperity, mirroring the on-going debate whether natural resource dependent countries are blessed or cursed by their resource abundance.
This thesis seeks to bridge this gap by focussing on rentier states and the question whether rentier states are cursed or blessed. Based on the example of Oman, the proposed approach will be closely assessed. Additionally, the Sultanate’s challenges stemming from natural resource dependence and its preparedness for a post-oil era will be investigated.
Moreover, this thesis will analyze whether a paradigm shift in Oman’s energy sector can mitigate prevailing challenges and support the country’s economic diversification.
These three research questions will be answered through surveying and analyzing literature and data pertinent to the research topic. Findings indicate that rentier states tend to be more vulnerable to the resource curse and the impending fossil fuel depletion as it could cause public outcry and political and economic turmoil. Oman as a rentier state faces a grim post-oil era, fueled by many challenges, including dwindling oil and financial reserves, productivity losses driven by labor market distortions and rapid population growth.
Finally, findings suggest that the combination of economic and energy diversification can have strong positive effects on the Omani economy, such as freeing oil and gas reserves for export revenues, job creation, and private sector strengthening. However, Oman’s renewable energy industry is still in its infancy and faces various challenges, ranging from absent policies and adequate financing to heavily subsidized fossil fuels. As of now, the proposed approach is overly ambitious as the installed renewable energy capacity is too low to create significant employment opportunities or to free oil and gas for export purposes. However, heightened volatilities and economic shocks in recent years were eyeopening for the Omani government and have resulted in stronger efforts to enforce economic development plans. Similarly, the political transition after the death of Sultan Qaboos injected new impetus into Oman’s economy, which will facilitate the diversification of economic bases.
Prostate segmentation is an essential part of brachytherapy treatment planning, in order to perform the procedure with required accuracy. Nowadays, segmentation of the prostate is still carried out manually during the planning steps, therefore it is a process that can be tedious, time-consuming and prone to inter-observer error. Much effort has been made in development of an computer-based algorithm that can perform prostate segmentation automatically, but only with appearance of deep learning methods, more promising algorithms emerged. So far, convolutional neural networks demonstrated excellent results in fully automatic prostate segmentation. Development of such an algorithm and training an efficient deep learning model is a challenging task, and requires a lot of optimizations. The objective of this study is development and evaluation of an algorithm for image processing based on deep learning methods that can perform fully automatic segmentation of the prostate gland in transrectal ultrasound images. Additionally, we made an overview of the development process, along with challenges and their solutions and demonstrated an algorithm implemented using Python and Tensorflow library, consisted of preprocessing, augmentation, training and validation, postprocessing and validation steps, which is able to successfully carry out fully automatic prostate segmentation with expert level of accuracy. Finally, we presented our implementation of fully convolutional neural network model and results that are encouraging to continue with model improvements and potential clinical application.
Impact of artificial airway resistances on regional ventilation distribution during airway closure
(2020)
Over the past few decades, there has been an increasing amount of academic literature recognizing the significance of innovation systems. Entrepreneurship is an important component of an innovation system, contributing to the enhancement of regional as well as national innovation. The transfer of knowledge and technology between science and the economy has become particularly important to reinforce overall innovation performance. Today, universities and other institutions of higher education play a crucial role in the system of innovation and have evolved as active and highly relevant participants in the innovation system. Therefore, various supportive measures have been developed to increase the level of innovation at universities and to drive entrepreneurial activities. However, due to the ever-growing entrepreneurial support environment and the great variety of support programs,the distinction between support measures has become unclear. Consequently, the main objective of the present research work is to contribute to the overall understanding of supportive measures at German universities and other institutions of higher education.
Eight experts were interviewed to ensure the compilation of meaningful data. The research findings highlight the importance of a solid network of external experts as well as collaboration with other entrepreneurial institutions. Moreover, the research results indicated that an organizational structure with decentralized decision-making processes and a greater scope of actions enhances operational efficiency. While considering the indistinctness of different support programs and specific terms, although some significant differences were evaluated, overall, the results present a clear tendency toward a more cautious use of specialist terms, therefore substantiating the missing preciseness.
Industry 4.0, a term coined at Hannover Messe in Germany in 2011, is believed to be the next disruptive force, driving human progress and innovation. The advent of technologies, such as the Internet of Things, Cloud Computing, Big Data, and new Mobile Technologies, fuel this disruption. To enable Industry 4.0, mankind is dependent on technological infrastructure, provided by companies, operating in the semiconductor industry. Over the last years, these companies have increased their profits and their stocks are currently trading near all-time highs. Yet, uncertainty created by the disruption of Industry 4.0, the growing influence of China on the semiconductor market, economic insecurities created by political uncertainties, like the 2020 US Presidential election, and the risk and implications of a second global wave of the COVID-19 pandemic, make the equity valuation of leading and established companies in the semiconductor industry exceptionally challenging. This paper examines, how different equity valuation methods compare under said circumstances and shows sophisticated valuation methods must be used to limit valuation error. Further, this paper gives an estimation of the possible ranges of value and suggests the industry may currently be overvalued.
Entrepreneurship research faces a crossroads and a new approach is needed to better understand entrepreneurial behavior. Incorporating neuroscience to comprehend the entrepreneurial mindset seems promising. Nevertheless, the potential of neuroscience for entrepreneurship research is only slowly being realized. Based on an extensive literature review, this thesis examines the emerging role of neuroscience with respect to entrepreneurship. Referring to the model of the entrepreneurial process, this thesis investigates how entrepreneurs discover, exploit, and finally capture opportunities. In this context, explanations regarding trait, expertise, adaptation, and mindset of the entrepreneur are relevant for further examination. Moreover, decision-making in uncertain situations is analyzed. In this context, the dynamic interplay between the reflective and reflexive system is considered. Ultimately, this thesis provides recommendations for organizational innovation to enhance entrepreneurial
activity.