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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.
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.
Digital Transformation is gradually changing the ways of operating the business. With the advancements and innovations in technology and changing customer preferences, it is essential to adapt to these changes. Digital transformation has the capability to impact nearly every line of business but one of the most significant impact is on Customer Experience. Embracing new technology and processes provides opportunity to create better experience for customers by focussing on automation, self-service, value, quality, customer expectations etc. Advanced systems or solutions that fulfil these requirements can be incorporated in the technology and process landscape of an organization who is supporting customers. This thesis aims at conceptually integrating the Customer Service and Retail Store Support processes at HUGO BOSS into the new Enterprise Service Management (ESM) tool which will in turn drive the digital transformation at HUGO BOSS. Moreover, the purpose of the study is to provide a recommendation if the new ESM tool can replace the existing Retail & Customer Care ticketing tool, thus enabling the Retail & Customer Care team and their respective processes to be fully onboarded and implemented in future into the new tool. This thesis is a qualitative research. At first, qualitative data about the existing ticketing tools used to provide customer service and retail store support is gathered through secondary data collection methods. Secondly, in-depth semi structured interviews with nine respondents from Retail & Customer Care team and IT Support teams were conducted to collect their feedback and analyse the benefits and drawbacks of these tools. Next, the thesis introduces the new ESM tool followed by its evaluation using Fit-Gap Analysis method. Further, the thesis includes the concept of ideal customer service and retail store support processes to be supported by the new tool using process flowcharts. In conclusion, the results of the thesis are presented based on which a future recommendation is provided.
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.
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.
Common problems that urbanized areas have to face are an increase in accidents, air and noise pollution, traffic jams, lower road security and reduced available space. The increased amount of carbon emissions (CO2) is creating severe consequences that can be observed in climate change. Smart Mobility can help to put under control and lower the CO2 emissions derived from the transport sector. Thus, the paper investigates the benefits and challenges of Smart Mobility. Then, through a confrontation of two benchmark areas which are successfully adopting Smart Mobility techniques, and the utilization of SWOT and data analysis, it shows that Smart Mobility can effectively lower CO2 emissions from transport. Ultimately, the NEXT-Future Transportation project is proposed as an innovative solution that addresses most of the mobility challenges and incorporates the needs for future transportation.
Life insurance penetration rate in Malaysia has been stagnant in the past few years although a few InsurTech companies set up in Malaysia recently. Prior researches on InsurTech fail to clarify the gap of the target customers’ and the insurance experts’ opinions on how to enhance the customer experience in online life insurance with the help of Artificial Intelligence (AI). To address this, a model is recommended based on the literature review on similar articles and survey results conducted on both target customers and insurance experts. The recommended model has four main components: official website by InsurTech companies collaborated with traditional life insurers, customer support, customer service and customer engagement.
In der vorliegenden Masterarbeit wurden verschiedene Ansteuerungsstrategien für den Betrieb von dreiphasigen Active-Neutral-Point-Clamped- (ANPC) Mittelspannungs-Netzumrichtern mit Siliziumkarbid (SiC) Halbleiterschaltelementen untersucht. Durch die Vielzahl an aktiven Schaltelementen können bei der ANPC-Topologie zur Modellierung des gewünschten Ausgangssignals zahlreiche unterschiedliche Ansteuerungsstrategien eingesetzt werden. Je nach gewählter Ansteuerungsstrategie können so unter anderem die Faktoren Schalt- und Durchlassverluste, Wirkungsgrad, Verlustverteilung, Schalter- und Ausgangsschaltfrequenz, der Oberschwingungsanteil des Ausgangssignals, sowie die maximale Spannungsbelastung der Halbleiter beeinflusst werden.
Neben der elektrotechnischen Beschreibung der aktuell eingesetzten Umrichter-Technologien wurden in dieser Arbeit primär aus aktuellen Veröffentlichungen und Dissertationen verschiedene Möglichkeiten für die Ansteuerung von ANPC-Umrichter zusammengetragen und insgesamt sieben Sinus-Pulsweiten-Modulationsstrategien (S-PWM) im Detail untersucht. Hierbei wurde für jede vorgestellte Modulationsstrategie das Grundfunktionsprinzip aufgezeigt und analysiert, sowie die sich daraus ergebenden Vor- und Nachteile herausgearbeitet.
Anschließend wurden alle vorgestellten S-PWM-Strategien in der Schaltungssimulationssoftware PLECS implementiert und diese in verschiedenen Betriebszuständen simuliert. Die Simulation ergab, dass sich bei der ANPC-ALD-Strategie eine bestmögliche Verlustverteilung zwischen den Halbleiterelementen einstellt, bei der ANPC-OOZS-Strategie die geringsten Durchlassverluste entstehen und bei den Strategien ANPC-DF, -12, -R2:1 und -SSLD im Bereich der Nulldurchgänge des Ausgangssignals an den inneren Halbleitern kurzzeitige kritische Überspannungen auftreten. Bei den Strategien ANPC-11-Sync, -ALD und -OOZS treten dagegen keine Überspannungen an den Halbleitern auf.
Ausgehend von diesen Simulationsergebnissen wurden die Strategien ANPC-DF, -ALD und -OOZS für den potentiellen Einsatz in Mittelspannungsumrichtern ausgewählt, auf einem FPGA-Board implementiert und damit eine geeignete Niederspannungstestplattform in Betrieb genommen. Durch praktische Messungen auf dieser Testplattform konnten die Simulationsergebnisse in einem ersten Schritt verifiziert werden. Sowohl das erstellte Simulationsmodell als auch die in Betrieb genommene Testplattform können somit zukünftig für weitere Untersuchungen im Bereich der ANPC-Umrichter-Ansteuerungsstrategien eingesetzt werden.
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.