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Course of studies
- MBA - International Business Management (55) (remove)
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 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.
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.
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.
The platform business model replaces the traditional linear value chain model, demonstrating how value can be created differently. The emergence of new platforms in various industries during the last decade has made it difficult to imagine a business without naming at least a handful of active platforms. The platform business model has been proven to revolutionize industries, and this study investigates the possibility of launching a platform business model in unprecedented arenas which still use conventional pipeline business models.
The study explores the process of generating ideas for a new opportunity in the platform business model. After generating 11 ideas, screening and evaluating methods were studied.
This thesis examines causes and effects of El Salvador’s transition to official dollarization conducted in 2001. The document analyzes preliminary and final impacts in the real, financial, fiscal, and external sectors of the country, and it also provides an economic and social perspective on how these effects have caused little effect on Salvadoran society. Several authors remark official dollarization might have positive effects on countries with macroeconomic disorders such as high inflation rates and drastic exchange rate variations. After more than 20 years of adoption of the U.S. dollar, official dollarization does not appear to have affected positively life of Salvadoran citizens but rather has prevented governments from using monetary policy to apply irresponsible economic policies and has also helped to prevent high inflation rates. To take advantage of the benefits official dollarization can offer, it is highly recommendable for El Salvador to implement transformative social and economic investments and policies that boost human development and economic competitiveness.
As a leading medical technology company, KARL STORZ SE & Co. KG continuously wants to bring innovations and applications into the market and expand its existing product portfolio. As strategic initiatives, the company has set priorities and goals to ensure its sustained success. One of those strategic initiatives is to start developing new products in the field of robotic surgery and compete in this segment. To achieve these ambitions, the company decided to spin off its robotic solutions department and establish a new business called KARL STORZ VentureONE Pte. Ltd. With a smaller and more agile structure, the new venture seeks to implement new ways of working and promote innovation.
This new-born company is playing in a fast-growing market that one single competitor has traditionally dominated. However, robotic surgery still has much potential, and existing suppliers have not yet reached different market segments. One segment that has called the attention of the spin-off is the ambulatory surgery centers in the US.
These surgical institutions are growing and gaining relevance in the American surgery landscape. Hence, the company is particularly interested in developing a robotic solution for this segment. Before introducing a product, the company must understand the target customer intended to address. Management at the new venture is also convinced that new business models can be successfully implemented in this segment. Thus, this academic work aims to evaluate the ambulatory surgery center market in the US and propose a suitable business model for this target customer.
For this purpose, this thesis was divided into two main parts. The first aimed to conduct market research on the ambulatory surgery centers in the US by collecting secondary data from articles, reports, and governmental publications. The second part focused on proposing a business model for the ambulatory surgery center segment. To do so, primary data was obtained by interviewing experts in this market.
The research found that the ambulatory surgery centers segment is a growing market where robotic surgery has not yet been fully implemented due to its high cost and reduced reimbursement rates for outpatient procedures. Another barrier to robotic surgery in surgery centers is the high upfront investment needed to buy the technology. Based on these insights, different business models, such as leasing, renting, pay-per-use, and subscription, were assessed. A subscription model was selected and further developed by presenting the most advantages. Using the “Business Model Navigator” methodology, this work defined and documented the target customer, the value proposition, the value chain, and the profit mechanism.
Abstract
In today's business world, it is evident how, thanks to digital transformation, new business models have emerged, especially in the retail industry. Changes in customer preferences have been one of the main reasons why the vast majority of companies within the retail industry have accelerated their digital transformation processes. Evidence has also been found that this change in consumer thinking is related to one of the side effects left by the Covid-19 pandemic, where digital channels gained more strength due to the limitations of physical contact between product providers and their customers. Therefore, changes in consumer thinking and the use of new digital platforms have brought new challenges for companies transforming their businesses from offline to online. The biggest challenges for those companies are not only related to implementing new business models such as online sales or so-called E-commerce platforms but also attributed to the creation of unique and invaluable experiences for the customer, allowing the companies to retain their consumers and create loyalty.
Creating an outstanding customer experience is not an easy task on these platforms since the reach of digital channels is almost infinite, which makes the new entrepreneurs in this industry rethink over and over again the best strategy to approach their customers so that they feel delighted in their customer journey. The present work seeks to provide a solution to the challenge evidenced in the E-commerce platforms, where the main objective is to recognize, through the customer journey, all the critical touchpoints and elements to add value to the shopping experience and to raise levels of customer satisfaction. With the help of tools that measure the levels of customer satisfaction and dissatisfaction, such as the Kano model, and through a recommendation system, the current paper provides com- panies that trade their products online with a detail of what services should be improved in the shopping experience to be highly attractive. In addition, a guide is provided where its application in each company will show in a quantitative way what the customer satis- faction levels are like. This work, through exhaustive research in academia, concludes that the factors that most stimulate customer satisfaction are those related to e-services quality and highlights the importance of “Personalized information”, “Online sales agent”, and “Website reviews and rating” services to add value to customers in one of the most competitive markets, such as E-commerce.
The business environment has changed within the past few decades. Growing global competition and the trend of shortening product life-cycle have reshaped the market, coercing companies into reconsidering their business strategies and product development. Higher quality, better time-to-delivery, and cost optimization are crucial factors for firms to compete in this tumultuous market. Therefore, companies are adopting a New Product Development (NPD), which is agile and customer-centric. The path toward change, however, is not identical for every enterprise since companies have their own unique organizational architecture and culture, demanding a thorough consideration of various facets of change, which is the focus of this study. EKU Power Drives, the company case study for this research, is actively involved in innovating electrification solutions and embedded software control for mobile power generation in the oil and gas industry upstream segment. The firm is considering transforming to an agile-based framework to fulfill its vision, which is becoming the most preferred partner for the key players in the target markets. This study aims to investigate the optimal Agile methodology and framework for the case study according to its business context, identify the challenges and how to address them, and outline an implementation procedure.
This thesis analyzes the effects that product label certification of Fairtrade products and the retail format where they are bought by consumers (Supermarkets vs. Discounters) have on the Willingness-to-Pay (WTP) of common grocery store goods. The thesis builds on data obtained from an online-conducted survey where participants had to respond if a determined price point was deemed as cheap or expensive to them and based on the average reaction times of their answers we determined the individual WTP. Two-way ANOVA analysis were performed with this data and some interesting findings were discovered: while a difference can be observed in consumers WTP for goods depending on the retail environment where they are acquired, there is no evidence of multiplicative effect of product labeling and retail format.
In the quickly developing industry landscape of the organic food market, keeping pace with consumer demands and market growth can be a challenge. Organizations with long histories in the organic market, such as dairy supply cooperatives are facing difficulty to maintain their competitive advantage. These cooperative organizations are unique compared to traditional firms in their committed responsibility to multi-stakeholder value creation and protection as defining measures of successful operations.
The paper investigates what factors and principles could be implemented by a cooperative to establish a consumer retail brand in the organic food market. It also examines the effects of this strategic marketing decision on the relationship between, and outcomes for, several of their stakeholder groups. To balance between narrowing the variables and context, while still providing relevant findings on a national scale, a French organic dairy coop serves as a qualitative case study. In addition, a pool of expert semi-structured interviews was conducted, obtaining real time information applicable to the current case study situation.
The findings supported the development of a consumer retail brand to enhance competitive position in the French organic food market. Beyond organizational competitiveness, these results conclude that a retail brand presence for the cooperative could return synergistic additional value to the cooperative stakeholders, including the business, members and their social and biological environments. Finally, the outcome suggests a reciprocal, reinforcing relationship between a corporate brand strategy and the mission of the organic dairy cooperative case study subject. These findings are partially transferable to other organic cooperatives and add a cooperative organizational perspective to the brand strategy and development academic work.
As businesses advance toward globalization, their supply chains have expanded. Globalization has brought together varied marketplaces, but it also has consequences. The most significant of these impacts is environmental damage. As organizations and customers are becoming growingly aware of the extent of the damage, organizations are transitioning towards greener practices. However, the long, complex supply chains make visibility and transparency in the chain, particularly beyond the first tier of suppliers difficult. Managing companies at a global scale become complex due to differences in interests and difficulty in managing information, material, and financial flow that require rigorous validation and management from external participants. This is where Blockchain Technology has immense potential. Blockchain is a new, ground-breaking technology with applications primarily in the financial sector. This thesis is exploratory by necessity, as it is an early work on blockchain's influence on green supply chain management. The study employs the funnel technique, which begins with a broad and general perspective before moving on to more particular aspects of the subject. A framework is designed based on a thorough assessment of the literature and real-world applications of blockchain technology. The findings show that incorporating blockchain into supply chain management can potentially increase understanding of the supply chain's hidden layers and aid in the transformation of the existing supply chain to a green supply chain.
The present thesis performs an actuarial work that intends to understand the premiums, expenses, and claims, including the reserves considered the most important technical variables in an insurance company. The company is located in Colombia and the work will be performed in 2 branches: Compliance and Liability.
The objective of the thesis has been set as to define and measure a claim ratio after remarking a lack of an indicator that describes the 3 most important technical variables altogether in the company. It has also defined to assess the current methodology that calculates the reserves for the claims occurred but currently unknown by the insurance company under the premise that there is a very low level of observed claims in the history of the company in both branches.
All the methodologies defined, assessed, and performed in this thesis have been compared to other methodologies implemented in journals, research papers and articles to align the conclusions and take the best practices from actuarial works previously done. They all also considered to keep homogeneous results that was considered as a very important achievement even by other sources.
A new methodology has been defined to calculate expenses related to administration, the ones used in the reserves and the ones related to claims. The new expenses level was used in 2021 and an impact of a tremendous increase in premiums was observed the same year as a reaction of the decrease in policy prices.
The conclusions derived from the work was to continue with the current methodology to calculate the incurred but not reported claims reserve according to the instability seen in the Chain-Ladder methodology until more homogeneous result could be seen that yield to a higher level of credibility.
Finally, among many possible claim ratios defined, a paid claim ratio has been considered. It includes the whole variables inside the premiums of the company and the most important variables inside the claims that were the claims paid and the proportional and non-proportional reinsurance effect.
Pricing is one of the foundations of any company’s market strategy and the only factor of the marketing mix that deals with revenue generation. The other three viz. product, promotion and place deal with expenditure. Pricing strategies provide varied degrees of flexibility based on organizational capabilities and customer segments. Pricing decisions are fundamental to a firm’s growth and are complex in implementation. Based on the author’s research, value-based pricing provides the best fit for all the important pricing factors like cost structure, profit margin, competition, supply and demand, etc. Despite this, cost-based and competition-based pricing strategies are still being widely used. The IT service industry in India has long focused on the competitive advantages of cheap and abundant manpower but the lack of focus on product development together with the emergence of other low waged countries and the growing nature of technology adaptation in the country have presented significant motivation to these IT firms to invest in research and development aimed at enhancing their product portfolio, which can be best taken advantage of by moving their pricing decisions towards a customer-value centric approach. Basing their prices on the different customer segments and focusing on value generation is the best way forward in the face of increased competition from both domestic and international organizations.
This master´s thesis focuses on the development of a competitor analysis process as a proposal for the business unit “Power and Energy Solutions”. As a new business approach for the Marquardt Group in the fast-growing and trending electromobility market, it is essential to develop a process to optimize the identification and assessment of competitors in order to obtain relevant information needed to build competitive advantages and plan business strategy.
This study highlights the essential information to be collected on competitors as well as the importance and benefits of conducting an analysis. A proper competitive analysis consists of considering and understanding certain external aspects surrounding the competitor. The structure of the industry, the company's current position, the customers and suppliers are key factors that have to be considered in order to conduct a successful competitive analysis. In addition, this thesis shows the steps and the main elements to contemplate in order to successfully perform a process within the company.
A qualitative research methodology has been applied for this thesis, in which literature review has been conducted and expert opinions and experiences have been included. The information has been collected through primary and secondary sources, with the aim of understanding the current situation of the business unit and obtaining relevant literature on the topic from reliable and accurate sources. Moreover, action research has been carried out in order to link theory and practice to provide a solution.
This master's thesis offers a proposal for the competitor analysis process, outlining seven stages to be followed. They have been established as a result of the evaluation and integration of the literature review and the current situation of the business. In addition, a conceptual framework has been designed as a concentration and visual representation of the best practices and methods to provide structure and support each stage of the process.
The implementation and constant utilization of the process will allow the development of a standardized system that ensures effective analysis in the business context. Moreover, it will provide a comprehensive analysis of competitors and their surroundings, as well as improvements and transparency in collaboration and practices within the company. Consequently, it will ensure a positive impact on the business unit for decision making and building competitive advantages.
As prerequisite to final graduation of my master in international business management MBA at Business School, Hochschule Furtwangen University, I conducted this Thesis but also as a practical business case that match with the nature of my master’s focus of international business and could be used in real life.
I put myself as a member of project’s managing team for a pharmaceutical company, this team as a part of strategic decision-making process is responsible about assessing different potential international markets and segments as a part of the company plan to expand their operations, tape and penetrate new markets.
Narrowing down the options to two geographic markets (Germany & Saudi Arabia) and two pharmaceutical segments (Diabetes& OTC), starting this assessment with macro analysis (PESTEL) of Germany and Saudi Arabia followed by micro analysis (Porter’s five forces) of the pharmaceutical industry in the two markets of concern, having more in depth review of the two potential segments in each individual market then head to head attractiveness comparative analysis of the two potential segments in the two potential countries showing the pros and cons for each of the potential available opportunities and finally reach a conclusion to solve this business scenario.
In order to satisfy both scientific research basis and business need I utilized Data from both peer reviewed articles, reports from highly trusted international institutions and organizations for their data accuracy and few theoretical books.
Limitation of this paper: taking in consideration that some relevant data i.e., regarding specific market profitability are not accessible due to either company’s confidential policies or data consolidation for example the financial statements of Bayer, the pharmaceutical company shows consolidated data combining Europe and middle east allowing no possibility(for outsider) to directly compare profitability of each specific country, here in our research Germany and Saudi Arabia, also I tried my best to use the most recent accessible data , but some of the most updated relevant data is out of my reach either due to confidentiality or it is paid data that requires funding resources not available in my case as I am doing this Thesis independently not in partnership with a company, these limitations might to some degree affect the precision of the final conclusion.
Cryptocurrencies are becoming increasingly popular as an investment object due to the underlying promising blockchain technology, a growing number of use cases and especially because of their recent enormous price increases. As a young and emerging asset class, cryptocurrencies also face investors with several challenges and uncertainties.
This thesis investigates the impact of adding cryptocurrencies to diversified portfolios and whether cryptocurrencies can be a reasonable portfolio addition for investors. For this purpose, based on Harry Markowitz's Portfolio Selection Theory, a statistical analysis of portfolios with and without cryptocurrencies and different degrees of diversification was conducted for a 5-year-period. The portfolios were analysed in terms of return, risk and correlations and the efficient portfolio allocations as well as efficient frontiers were determined for different return and risk scenarios, both with and without the use of short sales.
The results of the statistical analysis showed that cryptocurrencies have significantly higher returns but also higher levels of volatility and risk than traditional asset classes. Although cryptocurrencies show less strong positive correlations with other traditional assets, they nevertheless correlate positively with the representatives of the traditional asset classes examined, which is why cryptocurrencies are only suitable to a limited extent as a means of risk diversification. Cryptocurrencies can be an attractive portfolio diversification but only for investors who are willing to accept higher risks for higher returns as the addition of cryptocurrencies significantly increases both the return potential and the risk of portfolios. Therefore, the higher an investor's expected portfolio returns and risk appetite, the higher should be the portion of cryptocurrencies in his portfolio.