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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.
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.
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.
Mobile diagnostics – or mobile health in general – is highly appealing, not only for clinicians, but also for patients. It implies empowerment, in particular of those who are really in need, such as inhabitants of less developed regions within the world who have limited access to healthcare. It also implies simplification: Easy data management – a continuous flow of information. Therefore, development of miniaturized and highly integrated diagnostic systems allowing near patient “instant” diagnostics gain a lot of momentum since more than a decade. However, system integration requires time and a significant amount of investment. In addition, there is strong competition on resources from other emergent technologies, such as next generation sequencing which made the collection of e.g. human genome data less expensive and much faster. A more severe challenge is that mobile diagnostics require a change in healthcare management, e.g. towards integrated practice units. This, in turn, requires implementation of adequate reimbursement, standards of interoperability, training of staff, quality control. In 2010, Germany’s Federal Ministry of Education and Research (BMBF) launched the grant initiative Mobile Diagnostic Systems (MD, 2011─2015) as part of its high-tech strategy. MD aimed at generating knowledge on how microsystem technologies fit into German healthcare environments. On the basis of interviews with multidisciplinary MD actors, this thesis evaluated retrospectively how the publicly funded innovation network managed to overcome pre-defined external barriers of diffusion, including technology, regulatory affairs and market access. Retrospectives reveal internal barriers involving knowledge and technology transfer, negatively influencing generation of innovation. In particular, financing still represents a high hurdle for biotech innovators in Germany: Larger firms look predominately for market-ready or in-market technologies rather than prototypes and venture capitalists are rare or extremely risk-averse. Another important finding was, that actors involved were highly focused on individual work packages. This risks of not seeing the whole environment embedding MD. Consequently, potential opportunities may be missed, e.g. synergies with relatively close (DIALOC) or more distant initiatives (Global Health Delivery Project-based discussion rounds). This could be partly due to the fact that publicly funded networking activities provide less freedom-to-operate because of pre-defined milestones. In addition, further development of actors with respect to role playing (e.g. boundary spanning or innovation selling) is often not included in such “innovation packages”, but can help to maneuver change. Internal barriers need to be addressed first before targeting the major remaining external hurdle: Reimbursement. Although the latter was covered within MD, standardization of technology evaluation is still an unmet need which strongly influences the willingness-to-implement novel mobile diagnostics. Thus, the value added is to be demonstrated to justify adequate reimbursement. Achieving this goal can be successful, when innovation networking finds its path towards a common vision, e.g. towards value-based integrated healthcare. Pathfinding and visioning can be facilitated by process promoter with excellent network management capabilities. In addition, such a promoter could help to further develop engagement, openness and commitment of collaborators. Therefore, transfer of MD activities to established “top” networks or clusters is recommended for securing valuable knowledge generated. In this environment, an important next step – globalization of MD for ensuring future return on investment – could be triggered as well.
Since MD innovation was found to involve both product and service innovation, maneuvering change is particularly challenging for small and medium sized enterprises. These could benefit from engagement in innovation networking. Findings of this case study can help all direct and indirect actors in the field of MD innovation or in other high complex environments to reconsider pathfinding as well as role playing in networking.
This study explores the complex dynamics influencing the establishment of secondary
vocational exchange programs, with an emphasis on identifying the barriers and
facilitators in this process. Adopting a qualitative research approach, the study seeks to
capture the rich, nuanced experiences of stakeholders and provide context-specific
insights. Semi-structured interviews were conducted with professionals, administrators,
and officials associated with German and United States Vocational Education. Employing
a two-tiered participant selection strategy, a range of perspectives were captured. The
data were analyzed using an inductive approach to thematic analysis, aiming to identify
underlying patterns and themes. Preliminary findings indicate that funding, policy and
governance challenges, educational structures, administrative elements, corporate
attitudes, and socio-cultural influences play significant roles in the establishment of these
exchange programs. The research also underscores the importance of participant
preparedness, program structure, stakeholder interest and engagement, diversity and
inclusion, and innovative program approaches as vital facilitators. These insights can
influence the development of policies and practices for future secondary vocational
exchange programs, thus contributing meaningfully to the larger conversation
surrounding vocational exchange programs and international educational partnerships.
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
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.
This thesis investigates the effect choice options in e-commerce applications have on consumers’ decision making. Previous research showed that a large number of options
can affect consumers negatively. However, the conditions for such choice overload are unclear. After reviewing the existing research, the amount of information (entropy)
contained in a choice set and individual differences were determined as possible influencing factors in an online environment. In a choice experiment, choice sets with
varying information loads and an assessment of the Big Five personality traits were used to test the impact of the two identified factors on choice avoidance behavior. Results from chi-square-tests and a logistic regression model suggest choice overload but without entropy having an effect. A logistic regression model revealed that extraverted consumers are easier overloaded. A low Neuroticism score was found to be related to less occurrence of a too-much-choice-effect. Consumers with a high Openness score on the other hand choose one of the presented options more often and were therefore less often
overwhelmed by the assortment. An interaction effect between personality and the amount of entropy was not found. These findings extend the research on choice overload and offer valuable input for marketers targeting consumers online.