Refine
Year of publication
Document type
- Master's Thesis (29) (remove)
Has full text
- Yes (29) (remove)
Is part of the Bibliography
- No (29)
Keywords
Course of studies
- IMM - International Management (12)
- BAM - Business Application Architectures (2)
- INM - Informatik (2)
- IRCD - International Relations and Cultural Diplomacy (2)
- MBA - International Business Management (2)
- SSM - Security & Safety Engineering (2)
- EBCD - International Economics, Business and Cultural Diplomacy (1)
- EMBA - Executive Master of International Business Management (1)
- MDT - Medical Diagnostic Technologies (1)
- MZ - Mikromedizin (1)
- SEM - Sales & Service Engineering (1)
- WPI - Wirtschaftingenieurwesen - Product Innovation (1)
The aim of this study consists oftwo main objectives: First,to investigatethe penetration and preferences of fintech solutions from the payments sector within the studied population, as well as the elaboration of a forecast for the upcoming years.Second, to examinethe main elements that influence the intention of young customers when deciding to adopt fintech-basedpayment solutions. Existing research has tested several factorsfrom which the variables of trust, transaction efficiency and ease of use are included onthis paper. Additionally,the value-added propositionfrom this studyis represented by the incorporation of sustainability-related purposes into thisanalysiswith the intention of reflecting the increasing presence of efforts to integrate this component within thefinancial industryin recent years.A research model is proposed and tested by including elements based on theTechnology Adoption Model (TAM). By exploring the results of primary data through asurvey with 463 responses from university studentsandexamining secondary sourcesof information, the findings of this study demonstratethat all four tested variables have a positive impact on the intention of using fintech-based payment solutions.Sustainability-related purposes do not play a major role in the decision of using these apps, however, even with a minimal influence, theeffect on intention is positiveand statistically significant. The findings of this study pose important implications for stakeholders within the fintech spectrum whose purposes are related to increasing the intention of young consumers towards using these productsandto provide enoughevidence of the importance of designing incentives that fuel sustainability stewardshipwithin the financial sector.
The present research sought to deepen the debates about how the collector of recyclable material, a subject that has built his political resistance in the Brazilian scenario from the process of re-signification of garbage and his profession. Its empowerment observed from the end of the 20th century was concomitant with the growth of environmental discussions and the strengthening of the solidarity economy as an alternative for economic emancipation in Brazil. In this context, the individual who used to live on the margins of society established himself as a fundamental factor in the recycling chain and became an environmental agent. The question that guided the investigation was "how has the pandemic influenced waste pickers' solidarity organizations, given their challenges and opportunities?". In this context, two specific objectives were determined to be answered in the course of the research. The first sought to understand the relationship between the solidarity economy and the formation of waste picker collectives; the second aimed to identify the challenges and opportunities that could arise from these solidarity organizations' experiences. A vast theoretical analysis was conducted to understand the
foundations of the Solidarity Economy, an alternative to the informal economy and a form of economic empowerment especially considered for vulnerable populations, as a
way to include them economically. Using the case study of Belo Horizonte, a city with a history of alternative economic expressions and strengthened waste pickers' movements, we approached various actors of the recycling chain through qualitative research, using
the in-depth interviews approach.
Among other findings, the research noted that one of the greatest challenges of the post-pandemic Solidarity Economy is related to the expansion of the capitalist market to areas traditionally aggregated by the Solidarity Economy, because they were previously considered to be on the “margins of society”. However, these threats also
give room for opportunities, from responses that reinforce the legitimacy of cooperatives and associations, through their contractual adequacy with the City Hall for
the payment of the environmental service rendered, disconnected from the number of solid waste collected. We have learned that in the daily struggles and achievements of
the waste pickers, challenges and opportunities go hand in hand.
Die digitale Transformation stellt das Supply Chain Management vor große Herausforderungen. Es muss Antworten und Lösungen finden, um in einem global vernetzten Marktumfeld die Wettbewerbsfähigkeit der Supply Chain sicherzustellen. Das Konzept der Blockchain und der Smart Contracts versprechen großes Potenzial. Gerade im Bereich der Prozessautomatisierung und der Kostensenkung, durch das Entfallen bisher notwendiger Clearingstellen. Allerdings stellt sich auch immer die Frage nach der Datensicherheit und Schutz vor unbefugter Manipulation. Ziel dieser Arbeit ist es Anwendungsmöglichkeiten und Potenziale einer Blockchain und Smart Contracts im Supply Chain Management zu identifizieren und zu beschreiben
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.
Digital twin as a service : Ressourcenmanagement mit Energiedaten aus cyber-physischen Systemen
(2019)
Die Energiewende führt zu einer Paradigmenänderung. Der Zeitpunkt der Energieabnahme wird sich zunehmend an dem der Energieerzeugung orientierten. Die Steuerung des Energiebedarfs kann durch energieorientierte Produktionsplanung gesteigert werden. Dies erfordert eine Vorhersage des Energiebedarfs. Hierfür wird ein System entwickelt, das eine Modellierung mittels maschinellen Lernens nutzt. Die Datenbasis wird durch eine Vorgehensweise zur Abstrahierung von Fertigungsmaschinen erzeugt. Das System besteht aus gruppierten Microservices, es berücksichtigt die unterschiedlichen Anforderungen der Modelle an die Infrastruktur. Die Modelle sind in digitalen Zwillingen integriert, die als Dienst genutzt werden. Hierdurch ist eine effiziente Adaption von ˜Äderungen an Fertigungsmaschine oder Modell-Methodik möglich. Eine exemplarische Anwendung der Abstraktionsmethode und der Modellierung mittels neuronalen Netzes demonstrieren die Umsetzbarkeit.
Studierende und Lehrende als Kunden wissenschaftlicher Bibliotheken sind im digitalen Zeitalter aufgrund virtueller Angebote nicht mehr wie früher auf physische Bibliotheken angewiesen. Die Tendenz zu „entmaterialisierten Bibliotheken“, stellt komplexe Anforderungen an das Bibliotheksmanagement, mit dem Ziel, die E-Medien als umfassende Services für ihre Zielgruppen sichtbar darzustellen. Ausgehend von diesem Fokus soll das E-Medien-Portfolio der Bibliotheken der Hochschule Furtwangen konsequent an den Bedarfen ihrer Kernzielgruppen ausgerichtet werden. „E-Medien-Service nach Maß“ bedeutet eine komplexe Herausforderung und ist zugleich eine strategische Aufgabe des Bibliotheksmanagements, im Kontext von Studium und Lehre sowie dem Qualitätsmanagement der Hochschule.
Die Arbeit stellt dazu eine qualitative Studie vor, die im Wintersemester 2014/2015 am Campus Tuttlingen durchgeführt wurde. Sie erläutert Hintergrund und Zielsetzung der Untersuchungsfrage, beschreibt die angewandte Methode und das Untersuchungsdesign.
Ziel der Studie war, Nutzungsaspekte und Bedarfe der Zielgruppen Professoren und Studierende der Fakultät Industrial Technologies festzustellen. Darüber hinaus wurde ermittelt, inwieweit das E-Medien-Angebot der Bibliotheken bekannt ist und welche Möglichkeiten bestehen, es besser sichtbar zu machen. Die Ergebnisse aus der Studie wurden in Empfehlungen zur Optimierung des E-Medien-Portfolios zusammengefasst.
Darauf basierend kann ein strategisches Konzept entwickelt werden, welches durch die Untersuchung der Bedarfe und unter Beachtung der Relevanzsysteme ihrer Zielgruppen erfolgreich vom Bibliotheksmanagement eingeleitet werden kann.
Die vorliegende Masterarbeit analysiert die Problematiken effektiver grafischer Repräsentationen in digitalen Informationssystemen, die mit besonders hoherund dynamischer Datendichte und Datenquellen einhergehen. Anschließend an die Analyse der Problematiken erarbeitet der Autor dieser Forschungsarbeit ein konzeptuelles Modell zur Bewältigung der geschilderten Problematiken, auf Basis von semantisch beschriebenen, wiederverwendbaren grafischen Visualisierungselementen und den ebenfalls semantisch beschriebenen in die Visualisierung zu überführenden Daten. Besonders hervorzuhebende Erkenntnisse dieser Masterarbeit sind die Identifikation von Qualitätskriterien zur Zielführung einer effektiven Visualisierung gemäß der visuellenWahrnehmung des menschlichen kognitiven Systems, die Notwendigkeit zur Erweiterung der Vokabularmenge der schema.org-Ontologie zur Anwendung der identifizieren Qualitätskriterien und das Auffinden geeigneter Visualisierungselemente sowie das Zuordnen der Daten zu entsprechenden Visualisierungselementen über den Aufbau und Vergleich einer Baumstruktur für sowohl die Daten als auch die der Visualisierungselemente. Diese Forschungsarbeit ist von besonderer Relevanz für Entscheider, Projektmanager und Softwareentwickler, die digitale Informationssysteme mit einer hohen Anzahl an heterogenen Datensätzen und Datenquellen entwickeln.
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.
Im Rahmen dieser Master-Thesis wurden Verfahren zum Transfer eines Arrays kleiner Dies (unverkapselte Chips) mit einer Kantenlänge von 250 μm bis 300 μm untersucht. Die Dies sollten hierbei von UV-lichtempfindlicher Folie selektiv abgehoben und auf einem Zielsubstrat abgesetzt werden. Als Verfahren wurde die Stempeltechnologie gewählt. Zum Aufnehmen der Dies wurden Stempel aus Silikon gegossen. Als Substrate zum Absetzen der Dies wurden Gläser mit Zucker beschichtet. Zur Überprüfung des Verfahrens wurden Zugversuche durchgeführt. Die senkrechte Abzugskraft der verwendeten Folie und der Silikonstempel wurde ermittelt. Durch Abzugstests der Folie im belichteten und unbelichteten Zustand wurden die genutzten Belichtungsprozesse überprüft. Das Umsetzen wurde mit gesägten Stücken eines Siliziumwafers durchgeführt. Es konnte nachgewiesen werden, dass das Umsetzen mit Silikonstempeln möglich ist und die erzeugten Kräfte hierfür ausreichen. Die Herstellung und Vorbereitung der gesägten Siliziumwürfel erwies sich hierbei als kritischer Prozess, was die Reproduzierbarkeit der Umsetzung stark beeinträchtigt.
In this thesis, new methods for text classification are examined and compared to the current software of the DNB. Due to technical changes in the area machine learning in recent years, improvements in text classification have been achieved. The objective is to improve the subject groups allocation of the DNB and to allow a hierarchical classification based on the DDC system. The decision was made on the HDLTex tool, as the structure of the DNB data set and the DDC system, which supports a hierarchical classification, are perfectly designed for it. The use of RNN networks on both hierarchical levels improved the current software situation. Furthermore, the approach was examined, if a combination of the predictions of the two hierarchies levels leads to an additional improvement, which, however, produced a negative result. Both beginners and experts find themselves as readers of this master's thesis in the target group again.
In dieser Arbeit werden neue Verfahren zur Textklassifizierung untersucht und der aktuellen Software der DNB gegenübergestellt. Durch technische Veränderungen im Bereich Machine Learning in den letzten Jahren, konnten Verbesserungen in der Textklassifizierung erzielt werden. Dabei soll die Sachgruppenvergabe der DNB verbessert und anhand des DDC Systems eine hierarchische Klassifizierung ermöglicht werden. Die Entscheidung fiel auf das HDLTex Tool, da die Struktur des Datensatzes der DNB und das DDC System, welche eine hierarchische Klassifizierung unterstützt, perfekt darauf ausgelegt sind. Durch die Nutzung von RNN Netzen auf beiden Hierarchieebenen konnte eine Verbesserung zu der aktuellen Software erzielt werden. Weiterhin wurde der Ansatz untersucht, ob eine Kombinierung der Vorhersagen der beiden Hierarchieebenen zu einer aufbauenden Verbesserung führt, welches jedoch ein negatives Ergebnis hervorbrachte. Sowohl Anfänger als auch Experten finden sich als Leser dieser Masterarbeit in der Zielgruppe wieder.
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.
Die Vielfalt von heutzutage auftretenden Datenstrukturen schafft Bedarf für individu-
ell abgestimmte Analyseplattformen. Dabei benötigte Ressourcen sind vom jeweiligen
Anwendungsfall abhängig. Diese Arbeit diskutiert Broker für die Virtualisierung der
verarbeitenden Anwendungen, welche durch ein abstrahiertes Dashboard bedient wer-
den. Eine Domain Specific Language ermöglicht die Generierung eines Grundgerüsts
entsprechender Komponenten, die mit individueller Logik anzureichern sind. Die be-
schriebene Architektur bezieht sich zu großen Teilen auf den Umgang mit den flexiblen
Eingangsdaten von virtualisierten Verarbeitungsplattformen.
Rising globalization and digitization resulted in crises for the fashion industry. High competition and the interconnectedness of the consumers rule the market and put it under pressure. Owing to the growing power consumers possess, the requirements towards the fashion players are increasing. Customer experience is frequently discussed these days by academics as well as practitioners and emphasized as a competitive advantage. Yet, it is difficult to measure and to track its consequences.
Since customer experience is elusive and no industry specific measurement scale is defined, at first this work aims to identify relevant touch points of customer experience in the fashion industry by dint of a focused interview. The further objective of this paper is to enhance the comprehension of the touch points’ effects or rather the relationship of customer experience with brand loyalty. This is approached by a questionnaire based on the preceding qualitative analysis and the resulting model. This model defines the customer experience touch points as the independent variables while brand loyalty is examined as the dependent variable. The conducted linear regression analysis reveals a moderate effect of customer experience on brand loyalty and the touch points concerning the products as most relevant in this relationship. Additionally, the digitization aspect is addressed by the examination of the relationship in the offline and online channels separately. With respect to this, the present study recognizes that the extent of the customer experience’s impact on brand loyalty and the significant touch points vary across channels to a certain degree.
Patient engagement is the most important element in the process of research/development of medicinal products and healthcare management in today’s times. In a country like India which has a huge population and limited state of regulatory affairs it becomes important to walk the extra mile to protect the patient lives and truly serve them. Time and again it is seen that there is no or limited focus on patient centric processes and we still tend to focus on sponsors as the key stakeholder.
The author in this thesis aims to focus on the clinical trial landscape of India and determine if there is a need to improve the clinical trial processes. If yes, then what type of change is the audience looking for.
The author tries to introduce the human element in the process and remind us all that it is the ‘patients’ who are the centre for the drug development process and serving them and alleviating their pain in the true purpose of the process.
The author along with the helping us find a definition of patient centricity in India, also proposes a model that can be used by the Indian pharmaceutical companies to focus on patient centricity at different stages of the drug development cycle within their organisations.d
Population growth, urbanization and climate change are regarded as the megatrends of today's society. This goes hand in hand with a high consumption of resources and pollution. Indeed, these megatrends are mutually reinforcing. A significant part of this is due to mobility in daily life. Technological change such as digitalization, creates innovative concepts to improve mobility and to deal with these changing circumstances. A comprehensive concept in this respect is mobility as a service. This thesis focuses on the identification of the mobility ecosystem and thus on the various stakeholders. First of all, it deals with the definition of mobility as a service in order to identify the ecosystem in particular in the second step. Mobility is classified and analyzed by working on the basis of secondary literature and a quantitative as well as qualitative methodology in expert interviews. This allows conclusions about the relationships, prerequisites and obstacles within the ecosystem and stakeholders.
The results of the thesis suggest that collaboration within the ecosystem is a prerequisite for the implementation of mobility as a service. Furthermore, that mobility as a service should ensure adaptability, since local infrastructures differ between Germany, USA and China, but also within these countries. This adaption process is iterative. The obstacles are interoperability and the willingness to cooperate. Moreover, the results imply that mobility as a service will assert itself more quickly in urban areas due to factors such as the pressure to act and the availability of mobility services as well as the number of customers.
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.
Open Educational Resources (OER) in der Hochschullehre - Anwendungsfall Informationssicherheit
(2016)
Das Ziel dieser Arbeit ist es, die Chancen von Open Educational Resources (OER) im Bereich Informationssicherheit festzustellen und zu fördern. Dabei liegt der Hauptfokus auf Bildungsmaterialien für die Hochschullehre. Um dieses Ziel zu erreichen, wird eine analytische Bestandsaufnahme der aktuellen Quellenlage von Materialien der Informationssicherheit durchgeführt. Die Ergebnisse werden in einer Datenbank festgehalten und theoretisch ausgewertet. Dies zeigt, dass aktuell nur wenige OER im Bereich Informationssicherheit verfügbar sind. Es stehen jedoch vielseitige Ausgangsmaterialien zur Verfügung. Um diese verarbeiten zu können, wird ein Handbuch für OER-Ersteller erarbeitet. Dieses bietet didaktische und lizenzrechtliche Hinweise für die OER-Erstellung. Als Beispiel zur Umsetzung dient das erstellte OER "Risikomanagement in der Informationssicherheit - Risikoidentifikation". Abschließend evaluiert diese Arbeit in theoretischer Form eine Möglichkeit, studentische Arbeiten unter einer freien Lizenz zu veröffentlichen.
Climate change is currently one of the biggest challenges both in terms of danger to natural habitats, wildlife, and humanity. To tackle climate change, we need to reduce our carbon emissions in a fast and decisive way. This thesis studies one of the potential solutions to do so: green hydrogen. More specifically, its potential development by 2030 in Spain using INKA 4.0 scenario planning software.
Green hydrogen shows to have a wide range of applications, from transport to heating and industry with great potential to decarbonize many sectors. It does come, however with a number of important hurdles mainly related to cost, scalability and technical difficulties that will need to be addressed for it to be successful. With this, 10 descriptors were created generating three scenarios to be studied. The most consistent of them, a successful development of green hydrogen in Spain by 2030 is characterized by having all of its descriptors in a favoring state while the other two have some or all in a hindering state, making its development not successful within the established timeframe. Concluding that due to the great challenge the development of green hydrogen is, its success needs to have all factors supporting it.
Financial technology, popularly known as Fintech, has disrupted and revolutionized the financial service sector. Today, institutions such as banks are adapting digital transformation with the help of technological devices. There is no doubt that Fintech has transformed the way we bank. Nevertheless, there has been a growing need of understanding the future of financial institution with a holistic approach. Regulatory and governmental support towards maximizing opportunity, minimizing risk, and integrating financial inclusion is needed to accelerate the economy and attain sustainable development.
The following thesis aims to study financial inclusion and how to achieve it in the Fintech industry. It comprises of four areas of influence; market, social, technology and regulatory while emphasizing on the economic development, social progress, uplifting digital finance and robust regulatory system in the globalized financial market. The research aims to close the gap among the regulatory, economic, technological and social aspects of Fintech and then develop a pathway to attain financial inclusion. In addition, the objective of the research is to provide a comprehensive strategic plan towards a prespecified future in finance. This was achieved with the help of normative scenario planning. The result was calculated using scenario planning software INKA 4. The result consisted of four distinct scenarios supporting the pathway to implement financial inclusion in Fintech sector by the year 2030.