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Course of studies
- IBW - Internationale Betriebswirtschaft (676)
- IBM - International Business Management (325)
- BMP - Business Management and Psychology (74)
- MBA - International Business Management (53)
- IMM - International Management (49)
- EMBA - Executive Master of International Business Management (14)
- IEB - International Engineering (12)
- INM - Informatik (6)
- MOS - Mobile Systeme (6)
- AIN - Allgemeine Informatik (1)
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.
Steuerliche Gestaltungsmöglichkeiten von privaten Vermögensgegenständen über einen Familienpool
(2024)
The following paper deals with the topic of which tax structuring options are possible for the transfer of private assets via a family pool under German tax law. The research question examined here is whether it is worthwhile from a tax perspective to transfer private assets to a family pool and which legal form is most suitable for this. In particular, the difference in terms of inheritance tax between a transfer through a family pool and an inheritance upon the death of the testator is examined. In order to answer the research question, a detailed literature review was first carried out on the special tax circumstances of the legal forms suitable for a family pool. Subsequently, the topics brought to light by the research were introduced into three case studies for better comprehensibility in order to demonstrate the tax advantages of a family pool.The tax burden calculations show that a family pool can be worthwhile for tax and administrative reasons if set up early on
Diese Thesis wird das Thema Führung beleuchten und sich hierbei vor allem auf
Unternehmen beziehen, welche global agieren und Mitarbeiter mit diversen
Hintergründen beschäftigen. Hierfür wird zuerst das Thema der Führung allgemein
behandelt und danach die Themen der psychologischen Sicherheit als auch das der
Transkulturalität näher beleuchtet. Auf der Grundlage relevanter Literatur zu den
Themenbereichen wurden eine Umfrage in einem Unternehmen sowie mehrere semistrukturierte Interviews mit Führungskräften aus einem global-agierenden Unternehmen geführt. Diese werden ergänzt durch qualitative Interviews mit akademischen Experten aus den Gebieten der Transkulturalität und der Psychologie. Schlussendlich werden die aufgestellten Hypothesen den analysierten Daten und denen aus ihnen resultierenden Ergebnissen gegenübergestellt und ein Fazit samt Ausblick gegeben.
Employee engagement is crucial for companies because of its positive influence on performance, retention, and profitability. However, the rising appearance of hybrid workplaces and generational changes have presented challenges in maintaining employee engagement. Leadership has been shown to play an important role in developing engaged employees. This paper examines the relationship between transformational leadership and employee engagement and whether gender, presented as male, diverse and female, impacts this relationship.
A sample of 118 respondents, that have worked for over one year under a leader, has been analyzed through simple and multiple regressions. The relationship between transformational leadership and employee engagement proved significantly positive, highlighting the key role leadership plays when fostering engaged employees. However, the moderating relationship of all three genders was not significant. These results suggest that companies should focus on training transformational leaders and engaging employees regardless of the employee's gender.
Industry 5.0 is a new age of production that combines human-machine cooperation with cutting-edge technologies. Despite all of Industry 5.0's advantages, there are new cybersecurity threats that need to be considered in order to maintain the stability and security of networked systems. In the first section of the thesis, Industry 5.0 is introduced, along with its benefits and features. Cyber threats posed by automation, robotics, the Internet of Things, artificial intelligence, and networked systems are also noted.
The thesis delves deeply into the vulnerabilities and possible attack paths that hackers can use in Industry 5.0 settings. It looks at vulnerabilities in IoT devices, human mistakes, unprotected communication protocols, and supply chain vulnerabilities, giving a thorough grasp of the hazards involved. Case examples from the real world illustrate how cyberattacks affect Industry 5.0 systems, highlighting the necessity of strong defenses.
In order to develop recommendations for Industry 5.0 security, the thesis examines a number of cybersecurity best practices and standards, including the NIST Cybersecurity Framework and ISO 27001. It highlights how crucial it is to carry out thorough risk assessments and apply efficient risk management strategies in Industry 5.0 settings. The thesis recommends staff awareness and training, incident response strategies, and technology controls as ways to lessen cyber dangers.
The thesis also looks at innovative ways to improve Industry 5.0 cybersecurity, including secure communication protocols, blockchain for supply chain security, artificial intelligence (AI) for attack detection and response, and safe IoT device design. It also takes into account the legal and regulatory sides of cybersecurity, evaluating how well they work to handle privacy and ethical issues as well as lessen cyber threats.
To improve Industry 5.0 cybersecurity, the thesis also looks at cutting-edge technologies including blockchain for supply chain security, AI for threat detection and response, secure communication protocols, and safe IoT device design. It evaluates the efficacy of legal and regulatory measures in mitigating cyber dangers and resolving privacy and ethical issues while taking cybersecurity into account.
The thesis highlights the need of industry cooperation and information exchange in addressing Industry 5.0 cyber threats. It assesses initiatives, partnerships, and networks that support the sharing of best practices, information, and threat intelligence. In the conclusion, the thesis explores Industry 5.0's future orientations and offers academics, policymakers, and business experts’ advice on how to proactively mitigate new risks and guarantee the security of Industry 5.0 ecosystems.
Overall, the thesis contributes to a better knowledge of Industry 5.0 cyber dangers and provides practical solutions through the use of multidisciplinary research, real-world case studies, and examples. Its purpose is to encourage the secure and successful use of Industry 5.0 technology.
This thesis begins a theoretical investigation into leadership and organizational power by briefly examining the relevant academic literature. It then examines Robert House’s Path-Goal Theory, Bertram French, and John Raven’s Bases of Power frameworks. This study investigates the correlation between directive, supportive, participative, and achievement-oriented leadership behaviors and reward, coercive, legitimate, expert, and referent power within organizational set-tings by combining theoretical knowledge with empirical data gathered through questionnaires conducted with leaders and employees in the hotel sector. It also investigates how they impact the achievement of hotel goals.
Contributing to existing knowledge on leadership and power dynamics in the hotel industry, this research rigorously analyzes the compatibility and effectiveness of leadership behaviors with various power sources. The empirical backbone of this study comprises questionnaires conduct-ed across sixteen Southeast Asian hotels, yielding insights grounded in real-world organization-al settings. Based on 167 responses, this comprehensive investigation offers valuable implica-tions for practitioners and scholars, elucidating the intricate relationship between leadership be-havior and power sources. It underscores the strategic importance of aligning behavior with power sources to enhance leadership effectiveness and foster organizational success.
The Bachelor Thesis examines the effects of the integration of environmental, social and governmental (ESG) criteria in equity funds on performance compared to conventional equity funds. For this purpose, a quantitative analysis is carried out which includes a detailed examination of 769 equity funds. The equity funds are divided into two different groups - ESG equity funds and conventional equity funds - and are analyzed for various financial ratios. The goal of the study is to illustrate the financial performance differences between ESG-focused equity funds and conventional equity funds and thus provide a scientific contribution to the academic debate on sustainable investments. Initially, the thesis delves into the central concepts of ESG, the historical development of investment funds, theoretical frameworks, and existing studies. The following analysis provides an insight into the relationship between ESG criteria and the performance of equity funds. It not only draws on two different ESG rating systems, but also provides a geographical breakdown. Although the work as a whole helps to develop a deeper understanding of sustainable investment and highlights potential implications for investors and the financial sector, the results of the analysis show that more research is needed in this area.
The financial markets are currently facing uncertain circumstances, which is increasing their tail risk. A recent study was conducted to measure the tail connectedness between North America, Latin America, Europe, Asia, and Oceania. The study looked at 18 stock market indices using a neural network quantile regression approach from January 4, 2012, to May 5, 2022. The study found that the North American, European, and Latin American stock markets had the highest exposure to tail risk, while Asia and Oceania showed no significant risk compared to the rest of the world indices and were independent. The study also identified the Global Financial Crisis and the COVID-19 pandemic as intense events that yielded high tail risk. The Systematic Fragility Index ranked the pre-COVID period stock market and the Nasdaq during the COVID sample as the most susceptible markets. On the other hand, the Systematic Hazard Index identified the S&P as the chief risk contributor in the system.
The following thesis analyzes what a new sustainable pension reform for Germany could look like and which aspects can be adopted from other countries. It is shown that the German pension system needs a reform because it lacks sustainability due to the demographic change taking place and the associated poverty in old age. Another factor is the lack of state subsidies. To this
end, five different countries were analyzed, a survey and a utility analysis were conducted in order to compare the countries according to certain criteria and to draw conclusions as to which pension system or which aspects could be copied and implemented in Germany. The results show that Sweden and Norway have a sophisticated pension system with many aspects that could be adopted. Austria also provides some good ideas. The existing plans of the German government and other experts show that Germany is on the right track, but needs to be reformed
as soon as possible in order to achieve a positive result immediately.
AI in recruiting is used more and more in recruiting and for the evaluation of job interviews. Research has focused mainly on companies' side of AI implementation in recruiting. However, changes in demographics also make it important to look at it from the viewpoint of candidates. This thesis aims to explain how the perception of AI-evaluated job interviews influences the intention to apply. A survey is used as a data collection method with a sample of 105 participants. The results revealed that the perception of AI-evaluated job interviews positively influences the intention to apply in terms of organizational attractiveness, while anxiety negatively influences the intention to apply. However, in general, the positive effect is stronger. Other factors such as trust, fairness, intrinsic motivation, and novelty have no significant effect on the intention to apply.