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Course of studies
This study aims to deliver a strategic and systematic analysis about the consumer loans banking business with the integration of industry 4.0. Industry 4.0 itself comprise of a lot of things in regards of advance technology being used in order to create more value to the company. The purpose of this study also determine which components of industry 4.0 are suitable and applicable in the consumer loans banking business. This thesis uses secondary data as a primary resource to provide research objective. The secondary data collected through the use of published journal literature as well as the academic literatures. The research starts by providing the general information and literature about the consumer loans banking business and the industry 4.0 as well. Following by the reason why the consumer loans banking business need the technological advancement of industry 4.0. Next, this thesis also gathers the quantitative data related to financial measurement to provide more understanding the consumer loans banking business. The analysis is carry out by using the three level of environmental analysist segmentation in which commonly use for the industry analysis. The first factor is the PEST analysis, it resembling the external factor of the industry, second is the Porter’s five forces to explaining the operating forces within the industry, the third is the value chain analysis. The findings of this thesis pose important implication for bank consumer loans business stakeholders with the purpose to integrate or related to industry 4.0 technological advancement, providing enough information about the keys factor and analysis behind the industry.
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.
In the past decade the world saw an unprecedented economic boom followed by a similar bust. Most economies are still recovering and some experiencing sluggish growth. Various reasons have surfaced as to the cause of this economic boom. However, this paper explores the build-up of excessive debt as a result of financial development in spurring up the economy. This paper identified that the financial deepening coupled with other macro-economic factors have expanded credit in the economy. All sectors accumulated high levels of debt. As part of this study, an analysis of household debt was carried out, using a dataset of 30 European countries in order to ascertain determinants of debt. The results showed that household debt has a statistically significant positive correlation with Gross Domestic Production per capita and Life Expectancy at Birth. Additionally, Gross Savings and Gross Domestic Savings also had a positive correlation. This paper concludes by submitting that financial development should be reset to what it was best at doing in the first place, that is intermediation of finance so that efficiency of investment can be improved. Hence economic development.
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.
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.
The thesis emphasizes on the scale of production and waste of plastics, market share of single use plastics and attempts to find alternatives to one of the most problematic single use plastic marine litter items – single use plastic tableware and cutlery. The thesis is further narrowed to one of the Biodegradable tableware and cutlery BIOTREM from Poland that produces single use or disposable tableware and cutlery with the raw materials wheat bran and bioplastics PLA.
A study involved in the internationalization of BIOTREM is carried out based on the guidelines and principles of Global Marketing by Hollensen (2014). The study includes the important steps in internationalization process such as decision whether to internationalize, factors affecting internationalization, internationalization models suitable for BIOTREM.
Germany is considered as a hypothetical target market for the expansion of BIOTREM and the challenges for internationalization to Germany is analyzed with the help of Porter’s Five Force framework and SWOT Analysis. Further, various types of entry modes and factors that would influence the strategy for BIOTREM’s entry into German Market are studied and the suitable options are recommended.
A few recommendations w.r.t elements of marketing mix – product, place and promotions are suggested and also included are the general recommendations regarding company’s website contents. A recommendation is made on new form of crowd funding option – Security Token Offerings (STO’s) for BIOTREM expansion plan.
Finally, it is concluded with enlisting the answers found for the research questions and the message on taking responsibility for single use plastic pollution problem.
The object of the present master thesis is to understand the environment of the sales channel of Global Projects, its opportunities and challenges for Hansgrohe SE in order to clearly formulate a practicable, medium-term strategy for the period of 2020-2023 for the referred sales channel. A mixed method approach was used in this thesis, using both quantitative and qualitative methods. Raw data such as the channel’s net sales during 2016-2019 were observed from the internal sales system in order to understand the relevance in the past of the different business segments within the sales channel of Global Projects. Also, different external sources such as databases and reports from different consulting firms and international institutions were analyzed in order to determine the sales potential of the different business segments for the period of 2020-2023. A PEST analysis was conducted in order to identify the changes and effects of the external macroenvironment on the company’s strategic position. And finally, a competitor analysis was also conducted in order to identify the strengths and weaknesses of the company’s main competitors and the areas where the company should aim to improve. All previous research and analysis was complemented with expert interviews that were conducted with experts from ten different subsidiaries of the company who are in charge or involved in the sales channel of Global Projects in their respective regions, who helped defining the sales potential of the existing business segments and relevance of new segments that should be considered in order to develop the channel’s strategy. The result of the study suggested that the residential segment will represent the biggest sales potential for the channel followed by the hospitality segment. While there are other segments such as marine, retirement homes and bathroom pods & modular buildings which are expected to gain relevance in the future in some specific regions. As result of all research and analysis conducted throughout this thesis, the strategy and plan for the sales channel of Global Projects for the period of 2020-2023 was designed in line with the company’s strategic position.
All the companies need to plan and budget for future. For planning they need sale forecasting so that accordingly they can manage their supply chain efficiently. Companies do have historical data which can be used for forecasting sale. However, the accuracy of the predictive model depends on the quality of data which is being fed to the model. Poor data quality may result in poor forecasting. Hence, there is need to work on data quality management and to formulate some generic approach for ensuring data quality. Besides, it is also required to detect abnormal sale from the past data, get the reason for those abnormal sale records and remove them from the data. Subsequently, cleaned data can be used to work on predictive modelling which will forecast sales with the most likelihood of near to accurate results. These historical data can be analyzed as a time series data by using as simple time series analysis as ARIMA or by using complicated neural network. Evaluation of these predictive models will help in making a decision of selecting a best fitted model for future forecasting. The thesis aims to work on data quality management of raw data and then analyze time series data to determine predictive model for forecasting. Besides, thesis also aims to understand how data is collected and how organization performs sales processes. This would not only facilitate in finding and bridging the gaps in the business processes but also in preparing the organization for the state-of-the-art technologies to enhance their business for future.
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.
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.