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Course of studies
- IBM - International Business Management (337)
- IBW - Internationale Betriebswirtschaft (255)
- IMM - International Management (78)
- MBA - International Business Management (54)
- BMP - Business Management and Psychology (47)
- EMBA - Executive Master of International Business Management (14)
- MZT - Mikromedizintechnik (11)
- APE - Advanced Precision Engineering (2)
- IEB - International Engineering (2)
- IRCD - International Relations and Cultural Diplomacy (2)
This thesis examines Life Cycle Costing through a literature review and a fictional case study. It explores key challenges faced in implementing and utilizing Life Cycle Costing, proposes strategies for overcoming these challenges, and evaluates the potential impact of early integration of this technique on decision-making processes. Additionally, by use of the case study, the thesis exemplifies how Life Cycle Costing identifies trade-offs that would otherwise have remained unnoticed. The case study highlights how the implementation of the technique unveils that the option initially expected to be more costly turns out to be more economical. The findings underscore the superiority of the Life Cycle Costing methodology, questioning the narrow focus on immediate costs in traditional cost accounting, opening the door to a business model where long-term cost savings are recognized and valued.
Entwurf und Implementierung einer kamerabasierten Anwendung für ein Mühlespiel für den Panda-Roboter
(2023)
The dynamic and constantly changing global competitive environment requires the development of advanced technologies and new operating procedures for a company´s internal processes. Human Resource Management bears the responsibility of assisting the organization in overcoming these challenges and effectively reshaping its procedures. This bachelor's thesis investigates the detailed process of implementing a Global Job Catalogue (GJC) at a company. The purpose and goal of this study is to evaluate whether the implementation of a GJC offers advantages, using an automotive company as an example. It analyses the practical application of a GJC and its integration into the Human Resources Department. Furthermore, a focus on the challenges and benefits of the implementation and integration process will be provided, including the use of innovative technologies such as Artificial Intelligence (AI) and Skills Management. To achieve the stated goal, semi-structured interviews with HR personnel from the automotive company have been carried out. The results of the study identify the benefits of a comprehensive GJC for each stakeholder, such as increased transparency, efficiency, and consistency across the organization. However, it also highlights the challenges associated with the implementation process, including the strict timeframe and the simultaneous pursuance of multiple relevant project components. Based on these findings, recommendations for the use case are derived, and a thorough conclusion is provided.
The aim of this study is to investigate how cultural diversity is implemented and promoted in German startups and what best practices can be derived from these insights. The research question is: How is cultural diversity being implemented and promoted in German startups? Challenges and best practices.
As an empirical method to address the research question, expert interviews were conducted to gain precise insight into the strategies and initiatives of startups related to cultural diversity.
The results of the research have shown that cultural diversity has a significant impact on fostering innovation and creativity in startups. It also became clear that leadership within the company plays a crucial role in implementing cultural diversity and creating an inclusive environment. Research also showed that the implementation of formal initiatives in startups is limited due to company size and resource constraints.
Overall, the study has demonstrated that cultural diversity plays an important role in startups that should not be overlooked. Based on theoretical insights as well as findings from the study, best practices have been derived to serve as guidelines for startups aiming to efficiently and resourcefully implement cultural diversity.
This thesis embarks on a comprehensive exploration of the Bosch Car Service (BCS) and Bosch Automotive Workshop Services (BAWS) concepts within the global automotive service industry, underpinned by the esteemed Bosch brand. Through a meticulous comparative analysis, enriched by insights from expert interviews, this study unveils the operational frameworks, strategic orientations, and value propositions that distinguish BCS and BAWS, highlighting the unique challenges and opportunities each model presents. The research identifies key market segments addressed by BCS and BAWS, emphasizing BCS's focus on connectivity and efficiency versus BAWS's standardized franchise operations. It further delves into the complexities of managing a centralized system like BAWS, the challenge of leveraging Bosch's extensive portfolio, and the role of digital tools in enhancing operational efficiency and customer engagement. This thesis proposes a strategic blueprint for innovation, brand management, and customer-centric services, aiming to guide BCS and BAWS towards sustained growth and competitiveness in the evolving automotive service sector. Through integrating theoretical analysis with practical insights, the study makes a significant contribution to the academic and practical understanding of automotive service franchise models, shaping future strategies for Bosch's continued success and leadership in the industry.
This thesis investigates the persuasiveness of triathlon celebrities on consumer purchase intention, employing a quantitative research methodology grounded in the Source Credibility Model and the Match-up hypothesis. Through a survey-based approach, data was collected to analyse how consumers perceive characteristics of triathlon sports celebrities and how the match-up between triathlon celebrities and product types as well as the perceived characteristics affect consumer purchase intention. Running shoes and winter boots were selected as the two product types.
The study population consisted of a total sample size of 204 respondents. Descriptive statistics and multiple linear regression analyses were conducted to explore the relationships between triathlon sports celebrities' attributes, product-endorser matchup, and consumer purchase intention. Findings revealed significant positive relationships between perceived expertise and purchase intention for both running shoes and winter boots. Moreover, a positive relationship was observed between perceived physical attractiveness of triathlon celebrities and purchase intention for both products. While perceived trustworthiness did not significantly impact purchase intention, the study demonstrated a positive relationship between perceived product-endorser match-up and purchase intention for both products. Practical implications stemming from these findings emphasize the importance of strategic sport celebrity selection and product-endorser fit in endorsement campaigns. This research contributes to the academic field by focusing specifically on triathlon celebrities’ and their persuasive impact towards consumers.
Traditional networking severely limits the dynamic requirements of newly emerging
use cases like the Internet of Things. For this reason, this thesis is fundamentally
concerned with the proposal of a software-defined networking approach for industrial
IoT networks. We revisit the core concepts, examine related work and subsequently
present an SDN-focused edge architecture for the KOSMoS research project. In this regard, we aim to improve network flexibility, scalability, maintainability and security.
Finally, the developed concept is implemented as an emulated proof of concept in order to assess its feasibility. For our prototype, we present an intent-driven approach that automatically compiles and deploys network configuration policies based on business goals submitted as description templates.
Sustainability is a megatrend and has been a topic of great interest for decades. Even though, industrialization came forth with genius and profitable businesses it almost never took into consideration the value of natural capital and sustainability. According to a 2017 report by the UN, there are more than 51 trillion microplastic particles in the sea, more than 500 times the number of stars in the Milky Way. With the depletion of natural resources, increasing consumer education and the need for a better future the world has been prompted to take solid steps to control the menace that could be climate change and unsustainability. This paper makes an effort to understand the effect that sustainable marketing practices have on the profitability of an organization. The case studies of the three famous athleisure brands provides an insight into how sustainability can help companies drive towards a profitable and a circular future.
Injury to the anterior and posterior cruciate ligaments is not an uncommon occurrence. A rapid movement can already cause such an injury. Reconstruction of the anterior and posterior cruciate ligaments (ACL/PCL) in the knee joint is a complex orthopedic challenge. In this context, the development of a graft preparation system is gaining importance. Such a system will help surgeons prepare grafts accurately and efficiently to optimize reconstruction processes. This can increase the accuracy of graft placement, reduce surgical times, and decrease recovery time and postoperative risk for patients.
This paper focuses on the development of a graft preparation system for ACL/PCL reconstruction in collaboration with Getsch+Hiller Medizintechnik. The challenges and requirements in developing such a system were analyzed to ensure functionality and effectiveness. Existing approaches and technologies were examined to identify potential improvements and innovations. Development included extensive research on ACL/PCL reconstruction using grafts, including various surgical techniques. A detailed analysis of the graft preparation process was performed to identify critical issues. The design of the graft preparation system is based on research data and is performed using CAD. The needs of the target group, customer requirements and findings from research were considered.
The covid-19 pandemic has significantly impacted economies all over the world, posing as a difficulty for companies all across the globe. The Micro, Small, and Medium Enterprises (MSMEs) in India were one of the most affected. These Enterprises make a substantial contribution to India's economic output.
Despite their significance, these enterprises had faced immense challenges during the pandemic, such as disrupted supply chains, financial needs, loss of customer interest, and administrative problems as well.
This paper, has the intention of studying the aftermath of the COVID-19 pandemic on the MSMEs of India and is focusing on the Volatility, Uncertainty, Complexities, and Ambiguity (VUCA) challenged encountered by them, the strategies that these businesses put into place to keep the organizations afloat, is also studied.
This paper includes a study spanning various fields, exploring the adaptive mechanisms, and strategies incorporated by MSMEs to manage and navigate through the turbulent business environment, sustaining operations and managing risks.
Furthermore, the thesis throws some light on the role of digital transformation in MSME resilience during the crisis, noting its effectiveness and potential barriers. The study aims to give insights and suggestions to better prepare MSMEs versatility against future disruptions, while also looking at government aid or help during the pandemic.
At last, this thesis adds to the understanding of challenges faced by MSMEs during the Covid-19 pandemic, while trying to offer valuable insights for the future.
The objective of this work is to determine which strategic management model is the most suitable for developing a strategy framework for an international, decentralised organisation to ensure sustainable e-business growth. To achieve this, primary and secondary data are analysed, using a combination of comparative and qualitative approaches. Three strategic management models are presented. The Balanced Scorecard and the Objectives and Key Results are selected for a deeper literature review to assess their applicability according to criteria considered critical in a decentralised e-business context. Based on the literature, a hypothesis is formulated suggesting that Objectives and Key Results is the most suitable model for this purpose. Using a concrete case study, -the e-business project Vision 30 of the Würth Group-, both models are developed. The results and development processes are compared and evaluated, showing that although the Objectives and Key Results has significant advantages, it cannot serve as a universally applicable framework. The Balanced Scorecard‘s strategy map uses predefined perspectives, allowing for customisation and individual adaptations for companies. Therefore, the hypothesis was rejected. This demonstrates that the strategy map provides the necessary flexibility while maintaining alignment, which is crucial for success in today’s decentralised business landscape. Further research in the field of strategic management models could investigate the effectiveness of combining both models.
When discussing the current textile and apparel industries’ status quo, at some point attention will most likely shift towards the challenges fast fashion companies have to encounter due to the increased interest in sustainability practices. This bachelor dissertation examines the sustainability reports of three major fashion brands – Adidas, H&M, and Inditex, with the aim to gain insights of the current situation of non-financial reporting.
The study examines how companies address various aspects of Environmental, Social, and Governance (ESG) factors within their sustainability reports. It also investigates whether these companies prioritize different topics in their practices. Furthermore, the research evaluates how extensively fashion companies incorporate industry-standard KPIs to measure and compare their
sustainability performances.
The results show that the three companies focus on ESG factors differently, with environmental issues being consistently addressed, although the degrees of emphasis vary. Inditex emerges as a leader in fulfilling ESG criteria, with Adidas and H&M closely behind. Analyzing a company’s KPIs reveals a range of diverse approaches, complicating comparisons with competitors. However, following set standards such as the GRI Standards enhances credibility, even though transparency improvements are possible. With the EU’s CSRD regulation on the horizon, companies are encouraged to improve data accuracy and transparency, which may lead to changes in strategic directions.
This study emphasizes the importance of fair reporting, clear communication, and standardized frameworks to promote sustainability. With the insights provided by the research, this work is aimed at researchers, shareholders, and stakeholders interested in understanding, or implementing sustainability practices within the fashion industry.
Hybrid work is an increasingly common model of work applied around the globe and is expected to be continuously gaining importance. This thesis is aimed at identifying what impacts hybrid work has on international companies. A literature review was conducted to provide findings of recent research to identify possible positive as well as negative impacts. Furthermore, a survey was distributed to 150 employees with leading positions in international companies, resulting in 16 responses, which were analysed using metrics of multiple regression. The qualitative part of the survey was assessed as well. The small sample size only allows for an indication that hybrid work might impact sick days of the workforce in a negative way and that less business trips are taken due to hybrid work. The other impacts that were identified through the survey suggest impacts on a larger scale than simply human resources, indicating that hybrid work can impact the entire profitability of a company and should therefore be properly assessed and managed with a broad view on all possible impacts on different levels in mind.
Pulmonary response prediction through personalized basis functions in a virtual patient model
(2024)
The primary purpose of this thesis is to examine if the implementation of process mining significantly impacts a company’s competitive advantage, what challenges organizations face during that process and while using the tool as well as to identify drivers for business value generation and for which purposes and in which areas process mining is applied along the value chain. Therefore, an exploratory case study was conducted based on ten in-depth expert interviews containing representatives of various industries.
Today’s business environment of uncertainty and increasing volatility demands for organizational resilience and adaptability. Businesses recognize the importance of effective process execution and management based on the necessity of process optimization in order to sustain competitive. Due to its universality of application and its ability to deliver ubiquitous value in ways that never have been possible before, process mining is gaining vast popularity across various domains.
Findings appear to show that process mining is seen as modern, innovative, and supportive means to gain transparency over processes’ complexity by facilitating the ease of identifying improvement areas on a holistic end-to-end perspective of a company’s value chain.
Thus, businesses use process mining to yield the creation of monetary and non-monetary values by deploying an iterative cycle of continuous improvement. Hence, value potentials are realized by transforming actionable insights obtained into suitable actions serving as enablement for value capture. Despite that, process mining impacts organizations on different levels, whereas such impacts potentially affect a company’s competitive advantage through several paths. The study further explores a variety of success factors consisting of antecedents for effective usage and drivers for consistent value creation of process mining. The analysis depicts moderating effects of success factors on several challenges, whereas organizational challenges clearly overweight technical’s. Ultimately, implications for further research and managerial actions are presented focusing on the organizational perspective of process mining.
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.
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.
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.
Analysis of Fintech Markets
(2023)
The technological advancement in the business sector, in particular in the banking world, forces the financial sector to adapt its services. The Fintech companies aim to cope with these advancements and change the money management for clients. The question that arises is how the FinTech companies have developed and if they are profitable. That is the reason for the research of the development of the Fintech companies theoretically and practically, focusing on their financial performance. The methodology used in this paper is for the first chapter gathering existing knowledge of previous studies and including law directives to underline the development and in the second chapter using the information available from the companies itself. One can conclude the development of the acceptance of digitalized banks have increased after the economic crisis in 2008. Furthermore, the regulatory systems have problems coping with the velocity of change and the income of new products and services. The practical analysis of the FinTech companies show, that they do have certain advantages for clients, but are not immune against economic volatility. Having analyzed existing companies is beneficiary for the research field, as for now no practical analysis of the companies have been done. Nevertheless, the limitation of this research is due to the fact of probable biased information from the companies.
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.
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.
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.
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
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.
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.
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 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.
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.
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.
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.
As machine learning becomes increasingly pervasive, its resource demands and financial implications escalate, necessitating energy and cost optimisations to meet stakeholder demands. Quality metrics for predictive machine learning models are abundant, but efficiency metrics remain rare. We propose a framework for efficiency metrics, that enables the comparison of distinct efficiency types. A quality-focused efficiency metric is introduced that considers resource consumption, computational effort, and runtime in addition to prediction quality. The metric has been successfully tested for usability, plausibility, and compensation for dataset size and host performance. This framework enables informed decisions to be made about the use and design of machine learning in an environmentally responsible and cost-effective manner.
Phenomena like talent shortage, war for talents, and demographic change – Organizations are facing many challenges and changes these days. To compete in a contested market space the issue of employer attractiveness is becoming increasingly important. It seems that prioritizing the provision of attractive working conditions becomes prominent, while the importance of locus of control is underestimated. The research question addressed in this study is: What are the effects of working conditions and locus of control on performance? For this
investigation, a quasi-experiment with a 2x2 factorial design was conducted. Participants were assigned to either an attractive or unattractive working condition while simultaneously experiencing internal or external locus of control. Subjects were asked to perform cognitive tasks and performance was measured by the total number of points reached.
The results of the study did not yield statistical significance. However, it was observed that the group experiencing unattractive working conditions and internal locus of control had the highest performance. When also considering relevant research literature that highlights the psychological importance of control, it is suggested to conduct further research in this area of
interest to gain a deeper understanding of the effects of control and their impact on various job outcomes like performance.
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.
Gamification has become an innovative marketing tool in the tourism industry. It can potentially increase engagement and brand awareness and enhance overall tourist experiences. This thesis presents the theory behind gamification and its application in travel marketing. It discusses extrinsic and intrinsic motivational factors, fundamental concepts, practical examples, and the role of mobile applications in driving these strategies forward. By understanding how gamification can amplify tourist engagement, marketers could take advantage of this strategy and create campaigns that leave a long-lasting and positive impression. In addition, real-world examples demonstrate that tourism marketing can benefit from this innovative technique. Based on the literature's most critical findings, a model for implementing gamified marketing strategies to potentially increase tourist numbers during off-season traveling in less popular destinations is proposed.
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.
This chapter introduces the technology Non-Intrusive Load Monitoring, a method for detecting individual devices from an overall signal. Non-Intrusive Load Monitoring is the research area and technology behind the third word in Smart Meter Inclusive. Using a smart meter as a basis and recognizing devices from the power profile is not a new idea but is now a common practice in Non-Intrusive Load Monitoring. However, the approach to creating such a measurement system that classifies appliances in real-time and visualizes the results directly on the same hardware has not been existing yet. Smart Meter Inclusive wants to leave the data where it originates, namely with the customer. This book chapter provides a general overview of non-intrusive load monitoring to be able to understand the basics and approaches for such a Smart Meter Inclusive.
In this paper, the influence of current sensors of a NILM system is investigated. The current sensors of a classical inductive current transformer and a Rogowski coil are compared. To evaluate the actual influence on the NILM, measurements are performed with two measuring systems with different current sensors. With these measuring systems, 20 different consumers with 50 switch-on and switch-off cycles are measured in parallel. Besides, the influence of the sampling rate on the results of the NILM classification is evaluated. The classification is carried out with features normalized to the performance and without phase information, so only the signal waveform is used to differentiate the devices.
Elevators contribute significantly to the electricity consumption of residential buildings, office buildings and commercial enterprises. In this paper, the electricity consumption is investigated using an elevator system and its individual operating states as example. In addition to analyzing and allocating the energy demand, this work examines how the individual operating states can be determined solely on the basis of the power consumption of the elevator. The knowledge gained from this, such as the usage behavior, the travel profile, or load, is determined independently of the elevator control system. A subsequent installation on any system can be easily realized. In this work, the investigated elevator requires a substantial part of the total annual power consumption in standby (>90 %). This shows an enormous potential for energy savings. The individual elevator states, as well as the load, can be detected very well on the basis of the measured total power consumption. The work thus shows exemplary the potential of an intelligent measurement system for the state detection of elevator systems.
This Thesis analyses the difference in the impact of the issuance of a green bond on the stock prices of the issuing entity by country, using an event study approach of 135 green bonds, by comparing the actual daily returns of the event window with the expected returns calculated from the estimation window. With only a slight influence of the country found, further factors effecting the impact are considered. While we conclude that German issuers tend to see a stronger impact than most issuers from other European countries, factors such as the risk of greenwashing, time of issuance, industry, and firm fundamentals appear to skew this impact so that it is not possible to make a definitive statement about the impact of the country of origin on the effectiveness of green bond issuances at providing excess stock returns.
Introduction: The present study investigated the role of training intensity in the dose–response relationship between endurance training and cardiorespiratory fitness (CRF). The hypothesis was that beginners would benefit from an increase in training intensity after an initial training phase, even if the energy expenditure was not altered. For this purpose, 26 weeks of continuous moderate training (control group, CON) was compared to training with gradually increasing intensity (intervention group, INC) but constant energy expenditure.
Methods: Thirty-one healthy, untrained subjects (13 men, 18 women; 46±8 years; body mass index 25.4 ± 3.3 kg m−2; maximum oxygen uptake, VO2max −1 −1 34 ± 4 ml min kg ) trained for 10 weeks with moderate intensity [3 days/week for 50 min/session at 55% heart rate reserve (HRreserve)] before allocation to one of two groups. A minimization technique was used to ensure homogeneous groups. While group CON continued with moderate intensity for 16 weeks, the INC group trained at 70% HRreserve for 8weeks and thereafter participated in a 4 × 4 training program (high-intensity interval training, HIIT) for 8 weeks. Constant energy expenditure was ensured by indirect calorimetry and corresponding adjustment of the training volume. Treadmill tests were performed at baseline and after 10, 18, and 26 weeks.
Results: The INC group showed improved VO2max (3.4 ± 2.7 ml kg−1 min−1) to a significantly greater degree than the CON group (0.4 ± 2.9 ml kg−1 min−1) (P = 0.020). In addition, the INC group exhibited improved Vmax (1.7 ± 0.7 km h−1) to a significantly greater degree than the CON group (1.0 ± 0.5 km h−1) (P = 0.001). The reduction of resting HR was significantly larger in the INC group (7±4bpm) than in the CON group (2±6bpm) (P=0.001). The mean heart rate in the submaximal exercise test was reduced significantly in the CON group (5±6bpm; P=0.007) and in the INC group (8±7bpm; P=0.001), without a significant interaction between group and time point.
Data processed in context is more meaningful, easier to understand and has higher information content, hence it derives its semantic meaning from the surrounding context. Even in the field of acoustic signal processing. In this work, a Deep Learning based approach using Ensemble Neural Networks to integrate context into a learning system is presented. For this purpose, different use cases are considered and the method is demonstrated using acoustic signal processing of machine sound data for valves, pumps and slide rails. Mel-spectrograms are used to train convolutional neural networks in order to analyse acoustic data using image processing techniques.