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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.
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.
In the Job Satisfaction- Performance literature largely, job satisfaction is portrayed and
discussed positively as a performance driver for organizations that embark on the journey
of progress. This research asks whether job satisfaction inevitably leads to negative
implementation outcomes and how. This research focuses on factors other than job
satisfaction that can be used to drive better performance of employees and how
satisfaction could also lead to negative outcomes. In an attempt to answer this question,
the research undertakes three key tasks. First, it contextualizes how job satisfaction has
minor affects on performance. Second, it outlines the factors that can increase
performance. Third, it discusses crisply the adverse affects on job satisfaction through
empirical evidence to provide focus and 'evidential grounding' for the research.
Essentially, the research contends that for institutions that are unable to manage and lead
productivity from employees, this research serves a powerful purpose ensuring the multi-dimensional approach to view employee performance and modelled to take account of
the people on whom it may impact as well as the overall value it may deliver.
The aim of this research is to investigate the unique factors that affect the
adoption of green supply chain management (GSCM) practices in Greek
companies, with a specific focus on how they align with the overall business
strategy and performance. To achieve this objective, a "bottom-up" approach
is utilized, which involves conducting case studies to assess the status of
GSCM implementation in Greece. Additionally, the research seeks to identify
the key barriers that must be overcome for successful integration of GSCM in
Greek businesses.
A primary purpose of the study is to advance the field of Green Supply Chain
Management (GSCM) research by providing new and valuable insights on
the implementation of GSCM in a context that has received relatively minor
or even no attention in previous studies. The findings of this study have
practical implications for businesses operating in Greece and beyond, as
they offer recommendations, solutions and strategies for companies seeking
to implement GSCM practices. Eventually, this research aims to contribute to
the overall development and understanding of GSCM, as well as to promote
sustainable business practices in the region.
Keywords: Green supply chain management, Greece, business strategy,
implementation, barriers, case studies, bottom-up approach
This study explores the complex dynamics influencing the establishment of secondary
vocational exchange programs, with an emphasis on identifying the barriers and
facilitators in this process. Adopting a qualitative research approach, the study seeks to
capture the rich, nuanced experiences of stakeholders and provide context-specific
insights. Semi-structured interviews were conducted with professionals, administrators,
and officials associated with German and United States Vocational Education. Employing
a two-tiered participant selection strategy, a range of perspectives were captured. The
data were analyzed using an inductive approach to thematic analysis, aiming to identify
underlying patterns and themes. Preliminary findings indicate that funding, policy and
governance challenges, educational structures, administrative elements, corporate
attitudes, and socio-cultural influences play significant roles in the establishment of these
exchange programs. The research also underscores the importance of participant
preparedness, program structure, stakeholder interest and engagement, diversity and
inclusion, and innovative program approaches as vital facilitators. These insights can
influence the development of policies and practices for future secondary vocational
exchange programs, thus contributing meaningfully to the larger conversation
surrounding vocational exchange programs and international educational partnerships.
Advantest Company ("the company") is the world’s leading manufacturer of automatic test and measurement equipment used in the design and manufacturing of semiconductors. Because of the complexity of technologies and the supply chain of the semiconductor business segment, the company depends on both internal and external suppliers to manage some aspects of the supply chain of its main product, the System on Chip (“SoC”) test system. As a result, it is of ongoing interest to the company to have tools to continually strive for increased quality, reliability, capacity, and speed. Above all, these tools must enhance the relationships with the suppliers, and ensure the profitability and the company's position in the future.
The goal of this thesis is to understand the supply chain procedure at Advantest Company’s current state from the data-driven perspective by using the process mining technique. This technique is an emerging discipline, providing a comprehensive set of tools to provide fact-based insights and support process improvement. This new discipline is built on process model-driven approaches and data mining.
In this thesis, we discuss opportunities for process mining with an approach to analyse the process and how it can help the company enhance the procedure. This approach, which consists of data extraction from both third-party and internal software solutions, provides better visibility and faster disruptive event notification of the supply chain at the company.
In the contemporary business landscape characterized by global economic uncertainty and rapid technological advancements, companies face increasing complexity in meeting their innovation targets. To address this challenge, established firms are engaging in collaborative partnerships with external entities, particularly startups, to leverage their knowledge and capabilities to gain a competitive advantage. Despite the growing popularity of corporate-startup collaboration (CSC), there remains a noticeable gap in the literature regarding the analysis of the dynamics and key success factors that are relevant to enhancing the collaborative process between these asymmetric entities. This study aims to fill this research space by investigating the dynamics, motives, objectives, and challenges of CSC, with a specific focus on identifying the success factors crucial for achieving favorable outcomes. Drawing upon insights from eight expert managers using a mixed-method approach, the study highlights the significance of addressing internal barriers and prioritizing key success factors to ensure successful outcomes in CSC. The research methodology involves a literature review, a pre-stage questionnaire, and semi-structured interviews to gather comprehensive data. The researchers have synthesized the findings to enhance an existing Co-Canvas model in a way that it is specifically tailored for CSC, thereby offering managers a practical framework to effectively navigate the complexities of CSC. The findings of this research hold implications for scholars, corporate leaders, and entrepreneurs, enabling them to evaluate past collaboration initiatives, identify potential sources of errors, and devise strategies to enhance their collaboration performance. By shedding light on the dynamics and success factors of CSC, this study contributes to the existing body of knowledge and offers valuable insights for strategically enhancing collaboration performance. However, the study refrains from making broad generalizations of the model due to the small sample size of experts.
Cost Optimization is a persistent discipline to adjust expenses and reduce costs while maximizing business value, and it has proven to be one of the most influential strategies to generate profits and stay competitive in the market. In this study, technical and strategic solutions that can lead to manufacturing cost optimization were considered. For this purpose, a test environment was created according to the DFMA methodology using the DFMA Concurrent Costing V4.1 software developed by Boothroyd Dewhurst Inc. and the production expenses of a JED029M3 aluminum bushing product from WABCO Group were analyzed.
Results revealed that these charges can be assigned to five main cost drivers Material, Machine Setup, Process, Scrap and Tools, of which Tooling was the most influential driver at lower volumes, while Material and Process remained two of the considerably substantial drivers across all ranges of volumes produced. Furthermore, among the optimization alternatives, the right choice for machine and raw material shape demonstrated to have a relative effects of less than 5% in reduction of manufacturing cost for 1,000 pieces, while outsourcing to China and transitioning toward economies of scale lowered could impact the total costs by -40% and -70%, respectively.