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This study is aimed at valuing two companies in the IT services industry with different valuation approaches. Therefore, the preconditions for an accurate and meaningful business value as well as the procedure, strengths and limitations of these approaches are examined. Additionally, the accuracy of the results is determined through comparison of valuation estimates with their corresponding stock prices occurring within the three months following the business valuations.
Furthermore, it is examined if one valuation approach is superior in terms of accuracy. Finally, to verify the quality and explanatory power of the valuation results, they are compared with the outcomes of the study on the information content of equity analyst reports by Paul Asquith, Michael B. Mikhail and Andrea S. Au. The results of the business valuations show that within the three-month period, no price target was exactly achieved by the corresponding stock prices.
Furthermore, no valuation approach could be determined that is significantly more accurate than the others. It can be concluded that despite some limitations in the explanatory power of the valuations, the average percentage approximations of Mastercard’s and Visa’s stock prices to target prices were only slightly below those of the comparative study. In view of the fact that the research capacities and experience behind these business valuations are significantly lower than those of the top analysts in the comparative study, the results are considered consistent with the outcomes of the study on the information content of equity analyst reports.
Despite the fact, that women’s underrepresentation in finance is tried to be encountered by legal regulations, little research has been conducted on why most women still decide to not pursue a career in finance. Thus, finance currently remains to be a male-dominating sector. However, which potential consequences homogeneous versus heterogenous groups in finance have on the success of financial decision-making results in companies in the long term is still little studied. According to this research gap, this thesis sets out to research the cause of gender imbalance as well as the impact of the perception of gender differences in finance from a neuroscientific perspective.
First, it is examined whether distinct biological factors in men and women lead to different interests, skills, and abilities that explain a superior natural suitability to perform in finance. Further, it is discussed how the brain processes financial decisions and which internal- as well as external factors impact decision-making. This will be set in context with major findings from psychologist Iain McGilchrist and his hemispheres-approach, and Daniel Kahnemann and his dual-process theory. Further, it is investigated how particularly women respond to stereotype-threat, applying the latest theories by neuroscientist Gina Rippon, and how this influences women’s ability to perform in the financial sector. According to this, it is explained how deep-rooted gender roles, stereotyping and unconscious biases lead to self-fulfilling prophecies in performance, and thus, restrain the advancement of gender diversity in finance. Finally, it is researched in what way homogenous groups in finance are susceptible to overconfidence and groupthink and to what extend enhancing gender diversity can improve financial decision-making. According to this, neuroscientific strategies that counteract unconscious biases and irrational decision-making in finance are discussed.
Games are characterized above all by the fact that players naturally show a very high willingness to play. By using Gamification, one attempts to transfer this high motivational potential to other contexts by integrating elements of a game in a non-playing situation.
This bachelor thesis deals with the research question of how Gamification can influence the motivation and performance of users. It discusses how a gamified system must be designed in order to get the best possible benefit. Furthermore, the risks of Gamification are named and measures to reduce these risks are mentioned.
The methodology used is a literature search in which Gamification and its components are first defined, followed by a definition of motivation and performance. Furthermore, typically used game elements are presented and their effects are explained. Gamification is categorized according to two different approaches, differentiating between various types of Gamification. In order to explain the motivational effect, various psychological motivation theories are presented. The focus is on the self-determination theory according to Deci and Ryan, where the fulfilment of the needs of competence, autonomy and social relatedness are crucial for the emergence and maintenance of motivation. This theory is also used to understand performance improvements.
By presenting practical experiments in which Gamification systems have been developed, it becomes apparent that Gamification can have positive effects on the motivation and performance of users, provided that the basic psychological needs mentioned above are addressed. However, negative effects and various risks that Gamification can entail were also identified. For example, the ability to work in a team, the self confidence of the users, and the quality of the work can suffer if Gamification is implemented incorrectly.
For future research, it is essential to focus more on the interaction of different game elements, to differentiate between the quantity and quality of the achieved results, and to observe the long-term effects of a gamified system.
Global key account management is the use of the key account management system aimed at global accounts; these global accounts can also be known as multinational companies. These types of companies are key players for business-to-business model companies as they might account for as much as 80% of all sales. At this level of importance, to lose a customer like that could be a death sentence for the business. Adopting a global key account management to keep these essential types of customers is a good strategy, knowing the tremendous value they provide. The company MinebeaMitsumi, being aware of this, brings up the case study for the initiation of a global key account management system, that will bring a best in class service to the key accounts of MinebeaMitsumi in the automotive market. To start this project, it is needed an assessment of the current situation in which MinebeaMitsumi operates to its key accounts. At the same time, it is intended to upgrade the digital infrastructure MinebeaMitsumi uses for its operations. The case study is presented as an exploration and analysis of MinebeaMitsumi and how should this new system be implemented in an early stage. This way, preparing the ground for a larger project at the time of full implementation.
The presented thesis studies Artificial Intelligence-based tools which are currently used in recruiting. The guiding research questions ask which ethical implications exist when using different so-called robot recruiting tools, and how these implications apply to the German healthcare sector. The analysis is based on a comprehensive literature review. First, an overview over eight different tools is given, then they are analyzed regarding their ethical implications. Finally, the practical example of the healthcare sector in Germany is discussed. The eight tools are considered in regard to the specific need of larger hospitals. The thesis shows that when applying artificial intelligence-based tools, severe ethical concerns, mostly on the questions of non-discrimination, data security and integrity of an organization, can arise. Because of that, the thesis recommends that human resource managers should be very careful when applying Artificial Intelligence-based tools.
Personalisierte Online-Werbung und Datenschutzbedenken: Perspektiven aus den USA und Deutschland
(2020)
Today, personalized online advertising is part of user's everyday life. Based on data collected online, targeted advertisements are displayed. This approach often triggers concerns among users about the protection of their data, which has made data protection a globally important issue in recent years. This is also the case in Germany and the U.S. These two countries have two fundamentally different approaches to protecting their users' data, which is due to different perspectives on privacy and the culturally different handling of user data.
Based on cultural behaviors, there are many differences between users from the U.S. and Germany, but that they also have some similarities that affect user behavior and attitudes toward personalized online advertising. The concept of personalized customer communication is promising and can be beneficial for both users and advertisers. The cultural aspects help to assess a user's personal boundaries in order to decide on the degree of personalization of an advertisement so that no concerns are raised.
An analysis of the inter-rater reliability of ESG ratings within the consumer staples industry
(2020)
The aim of this study is to gain further insights into whether ESG ratings of the same firms from different rating agencies differ. To this end, this study examines and compares in particular the ratings of the providers Bloomberg, Sustainalytics and MSCI for companies in the consumer staples industry. The study comes to the conclusion that there are in some cases significant differences between these three providers in terms of the respective ESG ratings. Furthermore, a company-size bias is shown for Bloomberg and Sustainalytics ESG ratings. It appears that these agencies rate companies with a large market capitalization better than firms with a lower market value. These large discrepancies in ESG ratings of companies within the consumer staples industry and individual rating problems, such as the company-size bias, mean that today's ESG ratings tend to be not reliable and not valid. The study shows that ESG ratings will have to change a lot in the near future in order to contribute positively to the investment selection of socially responsible investors.
The rapid development of digital technologies has stimulated the shift from real life interaction to online communication. Internet audience is rapidly growing every day, while cost of reaching it is remains affordable.
Transformational changes in business environments, skills and cultures have led to the shift from product-based to knowledge-based economies.
New models of employment are getting more and more common, non-standardized employment has risen. The work lifecycle is changing. Instead of linear pattern— education, work, and retirement— there is a move to “cyclic life plans,” with periods of education, work and recreation overlapped and interspersed across a lifetime. This trend challenges standardized career paths, development programs and incentive systems. “Employee consumerism” is rising, especially for those with in-demand skills and experience.
All the above trends in global economy bring a new challenge for the individuals who want to succeed in their careers and personal development. This challenge is decent self-promotion on a labor market, which can be achieved by using efficient self-marketing channels and tools, in particular online.
Since the introduction of the concept of Emotional intelligence (EI), there has been affective turbulence in the past decades in the scientific community. The interest in the concept has been growing since the popularization of it in 1995 by Goleman (Goleman, 1995). It has been claimed to be a new way to success, as it was being linked to performance, job satisfaction, many other work-related constructs (Wong & Law, 2002; Bozionelos & Singh 2017; Miao et al., 2018; Prentice, 2016) and even health-related benefits (Goleman, 2020).
On the other side, the concept of Social Intelligence (SI), which was first introduced and used by Thorndike in 1920, has been around in the scientific community for quite some time as well. It is known for reducing conflict, creating collaborations and mobilizing people towards a common goal (Albrecht, 2005).
There has been a perplexing use of them in the field of research. Therefore, the purpose of this thesis is to examine conceptual issues as the similarities and differences between the two constructs and drawing a clear line between the two. A theoretical review has been conducted for independently understanding each concept. Different conceptual models have been analyzed for differences and similarities, in terms of definition, use, skill, problem-solving area, depth of the construct and aim of reasoning. The conceptual analysis shows there are some distinct differences. In addition to that, the results indicate that both concepts are multidimensional, overlapping and interdependent.
New developments in decentralized ledger technologies may have a huge impact on how we perceive and use money now and in the future. Most notably, it has led to the development of cryptocurrencies and a variation thereof –stablecoins. This thesis discusses the potential impact of Proof of Work based cryptocurrencies such as Bitcoin on the money market and the central bank’s ability to maintain control over the money supply. The IS-LM model is used to evaluate the effects of a private-issued digital currency. However, due to the characteristics of POW based cryptocurrencies, their impact on the money market is neglectable. In contrast, private-issued stablecoins of large international businesses with the potential of gaining enough users to overcome hindering network effects may pose a serious threat to the financial system, if there is no regulation on their usage.
As a response to this development and combined with the phenomenon of a declining cash usage in many countries, central banks have started to conduct research in their own digital currency, namely central bank digital currency (CBDC). Countries such as Sweden or The Bahamas have already started with the implementation of trial phases of their respective CBDC. However, design choices of the country’s digital currency differ due to financial, geographical, and cultural circumstances, among others. Nevertheless, many countries have utilized decentralized ledger technologies as the underlying technology for CBDC, showing its promising potential for further research and future developments.