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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.
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.
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.
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.
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.