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- IBM - International Business Management (45) (remove)
Artificial Intelligence (AI) is often said to increase efficiency which is why it is especially interesting to companies seeking possibilities to improve existing processes. Consequently, this thesis, written in cooperation with the Corporate Communications and Marketing / Public Affairs department at Marquardt GmbH, explores opportunities in this field by determining prerequisites that should be met when considering working with AI as well as risks that should be taken care of. In order to determine the department’s level and progress in the field of AI, the employees involved in the existing tasks and processes completed a questionnaire, resulting in the department being at the lowest level. Moreover, providers of tools within the fields of social bots, document classification, content marketing, media planning and sentiment analysis are compared with the help of utility analyses, allowing for a recommendation regarding what the next steps of the department should be. The fields were chosen premised on the emplyoees’ current tasks while information required for the analyses was obtained by contacting the providers as well as their websites. Based on findings of the thesis, the department is recommended not to follow the trend of AI immediately as the effort required would be disproportionate to the return.
This Thesis is aimed at showing the extent to which the efficient functioning of a country’s financial system is important for the development of its economy. One of the main determinants of economic development is economic growth. The research focuses on the functions of the main actors of the financial system, and how these functions impact on the GDP which in turn impacts on economic growth.
Data from Books, Articles, and the Internet which show historical evidence of a positive correlation that exists between “the development and stability of a country’s financial system” and “the development of its economy” has been gathered to come up with an answer to this research question.
The German economy is used as a case study to establish this evidence. In the course of this research, data showing the development of the German financial markets and Banking sector from the period - pre and post 2008 financial crisis was gathered. As well, data showing the growth of its GDP through the same time span was gathered.
Following these data showing evidence of a positive correlation between the state of Germany’s Financial System and the state of its economy, it can be concluded that the efficient functioning of a country’s Financial System is to a greater extent, very important for the development of its Economy.
When scaling, startups face managerial challenges and a downfall in innovation. A growing team and the resulting increased communication and organizational complexity bring issues previously not existing. Accountability Systems can assist startups overcome the mentioned issues and maintain their essence of innovation, vital for their success.
This paper discusses the relevance and benefits of implementing formal managerial systems in a growing startup. By mapping out the interdependence of culture, innovation and growth, it is demonstrated how Accountability Systems can support the preservation of an innovative culture when scaling a startup.
In a time when innovation is often disregarded due to a focus on process efficiency, Accountability Systems can provide a valuable tool for managing transition. This thesis serves as a general evaluation of Accountability Systems and their benefits. It is important to note that this paper is not intended to serve as a directly adaptable guide for startups.
In recent decades, the topic of increasing wealth and income inequalities has received growing attention in research. The focus was frequently placed on examining past developments and influencing factors, which might have produced the present distributions.
This thesis attempts to summarize the effects of past developments and tendencies on the distribution of income and wealth of households based on the findings of existing academic literature. An understanding of the underlying forces is particularly important to respond correctly and effectively to rising inequality. In addition, this thesis aims at presenting the distribution of income and wealth in the euro area with respect to similarities and differences across euro area countries. For this purpose, data provided through the Household Finance and Consumption Survey has been used. Furthermore, the observations have been compared to corresponding data on income and wealth distributions in the United States, allowing for a better assessment of the circumstances in the euro area. The Federal Reserve Board and the U.S. Census Bureau published data on household wealth and income in the United States, which has been utilized in this thesis. The observed points in time are 2010 and 2014.
The conducted investigations and analyses yielded the result that relevant developments have been the process of globalization, the technological advancement, the evolution of labour markets, the growing importance of capital, the changes in governmental policies and societal developments. Furthermore, it could be shown that both income and wealth tend to be unequally distributed within and between euro area countries. In fact, wealth appeared to be much more concentrated than income. Large heterogeneity across countries was detected. Nevertheless, the degree of inequality is less severe than the one observed in the United States.
Purpose – To empirically examine the impact of a set of influencing factors on B-to-B sales call success from a buyer, salesperson and neuroscientific perspective
Design/methodology/approach – A literature review was conducted to find potential non-economic influencing factors and a set of hypotheses was generated. Subsequently, findings were verified through an expert interview. Then two surveys examining the buyer and sales perspective were carried out and hypotheses were tested. Lastly, results were aimed to be explained from a neuroscientific perspective.
Findings – The results show that trust, emotion and empathy are positively correlated to sales call success. However, communication, listening skills, empathy, appearance and personality variables were on average still perceived as somewhat important for sales call success by both survey groups. Neuroscientific literature could provide insights into the effects of trust, emotion, appearance and extroversion on sales call outcome.
Research limitations – The sample size permits only a general analysis and conclusions. Buyers participating in the survey tended to evaluate sales calls as rather successful, leading to an underrepresentation of “unsuccessful” sales calls in the data set. Neuroscientific literature provided insights but could not fully explain the suggested model.
Practical implications – Emotional and non-economic factors including trust, positive emotion and empathy should be part of a successful sales methodology so that the effects of these factors are considered to improve the outcome of sales calls
Many articles claim that the structure of a self-organizing team achieves the highest level of agility. Therefore, this paper examines the assumption about the agility of self-organizing teams. This is done through a qualitative secondary research which answers the following questions:
1. What are the required attributes for a workforce to be agile?
2. What are the characteristics and attributes of self-organizing teams?
3. Do self-organizing teams fulfill the requirements of an agile workforce? If yes, how?
Through literature reviews the requirements that make a workforce agile and the characteristics of self-organizing teams are observed. It is considered that if the characteristics (which makes up the structure) of self-organizing teams fulfill the requirements of an agile workforce, this claim is then believed to be valid.
The results of such an examination shows that an agile workforce needs to be empowered, capable and competent, adaptive and flexible, team oriented, cooperative and collaborative and continuously given feedback and trained. Similarly, the observed characteristics of self-organizing teams describe them to be autonomous, communicative and collaborative, redundant and reconfigurable, cross-functional, team oriented and capable of learning.
Through an analysis of the findings, it is confirmed that self-organizing teams fulfill the basic requirements of an agile workforce. Therefore, self-organizing teams are considered to be agile. Finally, companies that seek agility are advised to adopt the structure of self-organizing teams.
With information on corporate ethical behavior now more accessible than ever, consumers have become increasingly socially and environmentally aware, which has translated into a growing demand for ethically made products. For ethically minded consumers, certification labels such as fair trade or organic are simple indicators of whether a product meets their ethical standards. For companies that wish to become certified, which is a lengthy and sometimes expensive process, there are several pertinent questions to consider, such as how much customers really value particular labels and whether multiple labels yield significant added competitive benefits. One should also consider how best to collect this information, because simply asking customers via surveys isn’t guaranteed to return results that actually reflect or predict real-life behavior (Carrington et al. 2010). For this paper, we collected information on consumers’ willingness to pay for products with the organic and fair trade labels (both individually and in combination) using two different methods: a traditional questionnaire and a reaction-time based electronic research method designed to reveal subconscious value perceptions. The factors involved were product type and number of labels. We found little evidence to suggest that additional ethical labels significantly increase willingness to pay.
The main goal of the study is to analyze students’ buying intention towards e-learning program by developing a structural model of e-learning acceptance by the students and analyzing perceived usefulness, perceived ease of use, attitudes, subjective norms, motivations and buying intentions according to the developed model.
Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
The thesis introduces a case study research presenting the transfer pricing problem of a selected MNE. Hereby, the researcher derives an appropriate method for the case and concludes with a comparison of theory and practice. The theoretical part of the thesis evaluates existing transfer pricing methods as explained by the OECD, Germany and the USA. The second part is about the choice of the research methodology, case study research and expert interview.
The third part first introduces the case study, analyzes a theoretical framework of the transfer pricing process and evaluates the existing transfer pricing methods, which allows for the derivation of the most appropriate transfer pricing method for the case. The fourth part concludes the research by applying the derived transfer pricing method, the Cost Plus Method, to the particular case study. By combining theoretical and practical approaches, a solution to the problem is determined.