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Course of studies
- IBW - Internationale Betriebswirtschaft (733)
- IBM - International Business Management (348)
- BMP - Business Management and Psychology (87)
- IMM - International Management (79)
- MBA - International Business Management (55)
- APE - Advanced Precision Engineering (21)
- EMBA - Executive Master of International Business Management (15)
- IEB - International Engineering (12)
- MZT - Mikromedizintechnik (12)
- INM - Informatik (8)
Design and fabrication of a novel 4D-printed customized hand orthosis to treat cerebral palsy
(2024)
Exploring Employer Attractiveness: A Qualitative Study of Generation Z Business Students in Germany
(2024)
Employers are facing difficulties in attracting and recruiting employees due to the demographic change in Germany, the resulting retirement of Baby Boomers and the labor force shortage. The focus currently lies on Generation Z which is about to enter the labor market and which’s values, requirements and needs differ significantly from those of previous generations. This thesis aims to identify the requirements Generation Z has of employers by answering the research question: “What are the specific requirements that employers must meet in order to be considered attractive by Generation Z?”. The extensive literature review on employer attractiveness and the relevant generations, especially Generation Z, builds the foundation for the empirical research: qualitative interviews with business students of Generation Z in their final semester. This provides an in-depth insight on their current requirements and perspectives of attractive employers and therefore serves as a basis for the recommendations for companies. The findings revealed that a positive working climate, workplace proximity, above-average remuneration and transparent communication are essential requirements to be fulfilled. Above all, however, employers should focus on supporting the reconciliation of work and private life through offering working from home and flexible working hours.
Artificial intelligence is a disruptive technology, offering increasingly more opportunities to companies. However, the low digital maturity of the private banking sector, makes it hard for private banks to take advantage of this opportunity. Simultaneously, customers are expecting more digital solutions, forcing companies to adapt their services.
The aim of this paper is to provide an overview, drawing conclusions about whether the implementation of AI technologies is profitable in the private banking sector.
This thesis is based on recent research about current possible applications and the respective benefits, risks and costs. Two use cases will be thoroughly analysed: the application of automated credit risk management systems and AI powered indexes. In the first case, the software NOLA 2.0 will be evaluated and used as a benchmark to highlight the positive and negative aspects deriving from AI credit risk management software. In the second case, the AI powered index AiPEXAR will be presented and compared to the most common ETF S&P 500, analysing the differences in their computation and their performance over time.
The analysis concluded that, even though the benefits substantially depend on the individual company, AI chatbots, customers' engagement, credit risk management software and banking apps are advantageous for private banks. Yet, the implementation of AI powered indexes may be precocious and therefore not yet profitable. It can also be concluded that for private banks, whose core competitive advantage lies in the expertise of the relationship managers, the digitalization of advisory may lead to unsatisfied customers.
Sustainable sourcing strategies to prevent environmental and human rights risks
along the supply chain have become increasingly relevant for global operating
companies. The aim of this thesis is to provide the theoretical framework and
practical implementation of a sustainable sourcing risk management system
anchored in the German supply chain law and based on defined criteria. These
criteria include requirements in the area of Natural Capital and Materials that are important for the company Kendrion N.V. In total, three research questions have been defined: What are the required criteria of Natural Capital and Materials the suppliers should comply with? How should these be implemented for Kendrion and its supply chain? And what are the remaining challenges?
In detail, the requirement criteria contain the topics of renewable energy, energy efficiency, greenhouse gas emissions, waste management, reuse and recycling, as well as current regulations of the European Union.
The practical implementation demonstrates the implementation at Kendrion N.V. To assess risks along the supply chain, a questionnaire is developed that serves as a basis for the evaluation process. In addition, this thesis includes the concept creation of a Power BI report that can be used as a methodology for the risk management analysis. The Power BI system presented at the end of this thesis will be used as a template for Kendrion to evaluate the results of the supplier questionnaire as part of the risk management system. However, some challenges need to be addressed: The proportion of suppliers who have signed the Code of Conduct, the reliability of the supplier data provided, and the verification of supplier contacts.
Influencer marketing has become one of the most popular marketing strategies in today’s ever changing digital scene. Despite being a popular technique of engaging customers, influencer marketing is still difficult for marketers and brands to understand the meaning behind of it and how to take advantage of influencer marketing. The research delves into the multifaceted landscape of influencer marketing. The research questions revolved around three key aspects of influencer marketing. Firstly, a profound exploration of influencer marketing was undertaken, delving into its evolution, benefits and underlying principles of influencer marketing was important to fully understand its dynamic role in modern marketing. Beyond this, an in-depth analysis scrutinized the impact of influencer marketing on consumer purchase behavior, peeling back layers to reveal the nuanced interplay of trust, and authenticity. To answer these questions a thorough analysis of influencer content and consumer interactions was done. To extract meaningful insights, to provide a holistic understanding of the symbiotic relationship between influencers and consumers. Trust emerged as a linchpin in the effectiveness of influencer marketing, profoundly influencing consumer perceptions and behaviors. Conclusively, the study highlights the indispensability of trust and authenticity in influencer marketing. Brands seeking success in influencer-driven consumer engagement must prioritize and harness these factors to navigate the complexities of contemporary marketing landscapes successfully.
BUSINESS PROCESS AUTOMATION: ENHANCING EFFICIENCY AND COMPETITIVENESS IN MODERN ORGANIZATIONS
(2024)
The first section of the thesis provides a historical overview of automation, spanning from the first industrial revolution to the current era of highly advanced AI-driven technologies. It emphasizes how important Business Process Automation (BPA) is in today's hectic corporate climate when productivity and competitiveness are key factors. The main focus is on Robotic Process Automation (RPA), which is especially useful in situations with legacy systems since it effectively automates repetitive processes. This study explores the differences between terms and concepts related to automation, including business process automation (BPA), robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and business process management (BPM). Companies looking to optimize their processes face a changing landscape due to the involvement of various technologies. Using real-world case studies and industry best practices, the thesis provides a thorough examination of the effects of BPA, emphasizing the primary drivers, challenges, and benefits of BPA adoption. A mixed-methods approach integrating quantitative and qualitative research was used as the methodology. Surveys, case studies, and documentation from different organizations are included in the study, based on those who have implemented RPA at their work. This method enables a thorough analysis of BPA's effects on efficacy, productivity, and affordability. Case studies from prominent firms like Capgemini Consulting, PwC, and Deloitte are reviewed to gain insights regarding their BPA journey. Significant gains in customer satisfaction, cost savings, error avoidance, and operational efficiency are shown by this research. They also draw attention to difficulties like opposition from employees, problems with integration, and the requirement for upskilling. The thesis indicates that although big firms have similar motives for adopting BPA, the process of adopting BPA varies depending on the specific circumstances of each firm. Stakeholder engagement and change management are critical components of successful BPA programs, according to key results. The study highlights a balanced, strategic, and context-sensitive approach, offering a useful insight for companies in establishing their BPA strategy. It provides a comprehensive examination of the role that business process automation plays in modern companies, highlighting the ways in which it can radically alter corporate strategy and operations in the digital age. It gives a thorough examination of the challenges involved in putting BPA into practice and offers tactical advice to businesses hoping to use these tools to boost productivity and competitiveness.
Total Hip Arthroplasty is a highly effective procedure. Precise preoperative planning is crucial for a positive patient outcome. One approach to improve patient outcomes is preoperative planning of hip implants, which could replace the currently dominant 2D planning and improve processes in dealer markets by enabling more efficient delivery. The objective of this study is to survey and measure dealers’ acceptance of a patient-specific delivery and operating room setting. The evaluation is based on the Technology Acceptance Model. A recommendation for action will be derived from the evaluation.
This study examines the acceptance of new technologies through a systematic literature review utilizing the Technology Acceptance Model. Additionally, it presents the current state of 2D and 3D planning for hip implants and analyzes the Italian and Brazilian dealer markets. The target group was surveyed quantitatively, and their acceptance was analyzed and interpreted using descriptive statistical evaluation.
The two markets share similarities in their current requirements and conditions. In Italy and Brazil, planning is done intraoperatively by surgeons, which has been identified as an obstacle on several occasions. Acceptance of the new process is therefore mixed and requires supportive measures.
The similarities between the two markets allow for uniform comparability and interpretation. However, the acceptance can be traced back to the lack of preoperative planning among surgeons. It is clear that both markets are rather critical of a switch to preoperative planning, especially 3D planning. Therefore, some measures and further research on surgeons must first be taken before a successful implementation is possible.
Even though the idea of nearshoring is not new, it has attracted a lot of attention lately. This strategy entails moving corporate activities, such as IT services or manufacturing, to nearby countries in order to take advantage of a variety of competitive benefits. Nearshoring is a phenomenon that is intimately related to trade wars, regional trade agreements, and changing global economic dynamics. The objective of this research is to investigate the development of nearshoring, the forces that drive it, and the effects it has on various industries, economies, and geopolitical ties. The study is specifically focused on the automotive and semiconductor sectors. The study takes a broad approach, including case studies, economic strategies, and historical patterns. It examines the growth of nearshoring in different areas, such as the USA and Europe, and analyses its effects on global trade and economic stability. In accordance to the study, nearshoring has a number of advantages, including lower costs, less risk, and easier access to trained labour. But it also brings with it difficulties like disparities in culture and regulations as well as worries about data security. Nearshoring trends have had a substantial impact on the automotive and semiconductor sectors, leading to notable changes in supply chain strategy and production processes. In response to the requirement for operational flexibility and the pressures in the global economy, nearshoring has become a popular option for these two industries. The approach emphasizes the necessity for flexible and resilient company strategies in a constantly shifting economic environment and helps to reshape the dynamics of global commerce.
This master thesis explores the divergent consumer preferences within e-commerce sales funnels in China and Germany, two of the world's leading e-commerce markets. This comparative study explores the complexities of website design preferences, the influence of cultural elements on consumer decision-making, and the drivers of consumer loyalty and repeat purchases, with China's rapid adoption of digital technology and innovative marketing strategies set against Germany's mature market and consumer trust.
A mixed-methods approach is used in the research, combining quantitative and qualitative analysis. Insights into consumer behaviors and preferences influenced by cultural, economic, and technical aspects are provided by a thorough analysis of scholarly literature, case studies, and consumer surveys from both nations. The report highlights the distinctive features of each market by examining important elements such as digital innovation, sustainability, social integration, data protection, and mobile commerce in e-commerce practices.
Remarkably, the thesis seeks to provide practical insights to German e-commerce practitioners. German businesses can learn more about properly aligning their marketing and operational goals with consumer expectations by studying the successful techniques employed in China. This research contributes to academic understanding while also having implications for marketers and e-commerce platforms looking to improve user engagement, conversion rates, and the overall online shopping experience in the dynamic global e-commerce world.
This thesis investigates the integration of Artificial Intelligence (AI) in the recruitment processes of Small and Medium Enterprises (SMEs), highlighting both the opportunities and challenges of such technologies. It examines the potential benefits of AI in recruitment, including increased efficiency and unbiased decision-making, as well as challenges such as data privacy concerns. Through qualitative research and interviews with HR professionals, the study not only explores the current landscape of AI in recruitment but also proposes a comprehensive implementation plan for SMEs. This plan is designed to help SMEs navigate the complexities of adopting AI technologies, ensuring they can effectively leverage AI tools to enhance their recruitment outcomes and overcome the barriers to implementation.