The aim of this Master's Thesis is to characterize and analyze the current design of automotive print advertising placed in nationwide magazine. The Thesis is divided into two main parts. The first part summarizes the basic theoretical aspects -- such as content and functions of advertising, media types and their characteristics, brands and reference groups. In the application part, I firstly describe how to perform content analysis and give a description of magazine Reflex. In the following analysis of data obtained from the content analysis I uncover and describe which elements are highlighted, how often the reference groups are used or which car colors are mostly applied. I also analyze texts and keywords mentioned in the advertisements. The following is a comparison of advertisements between 2003, 2008 and 2013. In conclusion, I answer research questions; summarize the most important findings from the performed analysis and present marketing recommendations.

The aim of this master thesis is to describe advertising, media planning, media and czech automotive market. Then will be analyzed automobile advertising in Czech Republic in 2013 on television, radio and in press. Generally characterize ads on the mass media market and find out how these media are used and identify their differences. The conclusion will be focused on the first five automotive brands according to the order in the market and determine promotion planning on their individual models. To this analysis will be used descriptive statistics.

This thesis deals with market launch of new model generation of Hyundai Tucson on Czech market. Suggestions a recommendations for new model launch are supported by detailed analysis based on intern sources and secondary data, which are divided to several following parts: Czech automotive market analysis, analysis of Sport Utility Vehicles, consumer insight analysis of previous model generation, introduction of new generation and its key features, competitors overview and comparison with them, marketing communication of Hyundai carmaker, previous model generation and its competitors and positioning. Conclusion and target of this thesis are proposals and recommendations to new model generation launch focused on product, target group, competitors and communication.

Software has never been as important as today – and its impact on life, work and society is growing at an impressive rate. We are in the flow of a software-induced transformation of nearly all aspects of our way of life and work. The dependence on software has become almost total. Malfunctions and unavailability may threaten vital areas of our society, life and work at any time. The two massive challenges of software are one hand the complexity of the software and on the other hand the disruptive environment. Complexity of the software is a result of the size, the continuously growing functionality, the more complicated technology and the growing networking. The unfortunate consequence is that complexity leads to many problems in design, development, evolution and operation of software-systems, especially of large software-systems. All software-systems live in an environment. Many of today’s environments can be disruptive and cause severe problems for the systems and their users. Examples of disruptions are attacks, failures of partner systems or networks, faults in communications or malicious activities. Traditionally, both growing complexity and disruptions from the environment have been tackled by better and better software engineering. The development and operating processes are constantly being improved and more powerful engineering tools are introduced. For defending against disruptions, predictive methods – such as risk analysis or fault trees – are used. All this techniques are based on the ingenuity, experience and skills of the engineers! However, the growing complexity and the increasing intensity of possible disruptions from the environment make it more and more questionable, if people are really able to successfully cope with this raising challenge in the future. Already, serious research suggests that this is not the case anymore and that we need assistance from the software-systems themselves! Here enters “autonomic computing” – A promising branch of software science which enables software-systems with self-configuring, self-healing, self-optimization and self-protection capabilities. Autonomic computing systems are able to re-organize, optimize, defend and adapt themselves with no real-time human intervention. Autonomic computing relies on many branches of science – especially computer science, artificial intelligence, control theory, machine learning, multi-agent systems and more. Autonomic computing is an active research field which currently transfers many of its results into software engineering and many applications. This Hauptseminar offered the opportunity to learn about the fascinating technology “autonomic computing” and to do some personal research guided by a professor and assisted by the seminar peers.

Background: In recent years, interest towards Corporate Social Responsibility (CSR) has increased, more specifically, the economic, environmental, and social impacts large corporations have on society. This has led to the increase in transparency of practices in CSR disclosure, and number of sustainability reports published in general. In particular, the automotive industry has proved to be quite unsustainable, and is heavily focusing on its sustainable impacts. Purpose: The purpose of the study is to answer why practices in CSR disclosure are an increasingly important phenomena, and more specifically, why companies engage in them. This is done by having Volvo Cars as a case study and analyzing its annual and sustainability reports for the years from 2018 to 2020. Method: The framework used to analyze the results is Carroll’s pyramid of CSR, and thus, examining four dimensions of CSR: economic, legal, ethical, and philanthropic. The results were further analyzed through stakeholder theory, in order to distinguish which practices in CSR disclosure were aimed at affecting the company’s primary, secondary, and both primary and secondary stakeholders, respectively, and conclude why companies in the automotive industry engage in CSR. Conclusion: The conclusions of the study are that Volvo Cars is a company, which heavily emphasizes on its sustainable activities and aims at achieving a competitive advantage via its practices in CSR disclosure, by affecting all stakeholder groups. Thus, the reason practices in CSR disclosure are becoming increasingly important is because companies see it as a means of positioning themselves in today’s highly competitive environment, and thus, achieving a competitive advantage.

The diploma thesis focuses to develop business plan for setting up a small business. The essence of this plan will be the creation of services aimed at servicing and noise reduction of vehicles. In the first part the thesis is focused on the theoretical approach to the solution and in the second part on the analysis of the current state. Based on these information, the business plan is drawn up.

The purpose of this master´s thesis is to process the manual for realization of internet auction focused in the car market – MotorHit.cz. It includes market and competition analysis and also analysis of general and professional (business) surrounding. The entire proposal of project solving was made from the obtained data and realized analyses.

This project examines the initial system analysis and system level design for an integrated elect cal system to be used in a solar powered car. The system design includes the ability to collect and store solar power, as well as manage control signals. The electrical motor for the purposes of this report is considered as part of the mechanical system of the car. The report follows the rigorous systems approach format for as adapted from Blanchard and Fabrycky's Systems Engineering and Analysis 1990). The report begins with a statement of the problem, and continues through preliminary design. / Master of Science

Background:    Climate change has been becoming a major topic of interest, for research as well as for society. Transport caused emissions are constantly growing which forced the European Union to set the goal to decrease transport related emissions by 60% until 2050. A heavily discussed and promising tool seems to be being found in battery electric (BEV) vehicle adoption. However, BEV adoption seems to be underachieved which raises questions about potential influencing factors on BEV adoption. Additionally, latest research elaborated perception to be one of the key topics of interest for consumers adopting fully electric vehicles. Purpose:           The purpose of this thesis was to examine influencing factors affecting BEV adoption and the perception of those factors among generation Y consumers.  Method:            To attain the purpose, a qualitative research was conducted. After collecting secondary data to evaluate existing factors influencing consumer’s willingness to adopt BEVs, 16 participants accountable to generation Y have been interviewed using semi-structured interviews. Using a qualitative research approach valuable data and in-depth insights which are essential for markets such as the automotive industry. Conclusion:      The results show that there is a generally positive attitude towards BEV adoption among generation Y. However, there have been five influencing factors affecting consumer’s willingness to adopt BEVs. Analysis of the perception of each factor allowed the research team to get in-depth insights and to elaborate the importance of each factor and how the factors interrelate. Based on the gathered data relationships between influencing factors have been highlighted and based on TAM and TRI models a new model for further research has been developed.

Software has never been as important as today – and its impact on life, work and society is growing at an impressive rate. We are in the flow of a software-induced transformation of nearly all aspects of our way of life and work. The dependence on software has become almost total. Malfunctions and unavailability may threaten vital areas of our society, life and work at any time. The two massive challenges of software are one hand the complexity of the software and on the other hand the disruptive environment. Complexity of the software is a result of the size, the continuously growing functionality, the more complicated technology and the growing networking. The unfortunate consequence is that complexity leads to many problems in design, development, evolution and operation of software-systems, especially of large software-systems. All software-systems live in an environment. Many of today’s environments can be disruptive and cause severe problems for the systems and their users. Examples of disruptions are attacks, failures of partner systems or networks, faults in communications or malicious activities. Traditionally, both growing complexity and disruptions from the environment have been tackled by better and better software engineering. The development and operating processes are constantly being improved and more powerful engineering tools are introduced. For defending against disruptions, predictive methods – such as risk analysis or fault trees – are used. All this techniques are based on the ingenuity, experience and skills of the engineers! However, the growing complexity and the increasing intensity of possible disruptions from the environment make it more and more questionable, if people are really able to successfully cope with this raising challenge in the future. Already, serious research suggests that this is not the case anymore and that we need assistance from the software-systems themselves! Here enters “autonomic computing” – A promising branch of software science which enables software-systems with self-configuring, self-healing, self-optimization and self-protection capabilities. Autonomic computing systems are able to re-organize, optimize, defend and adapt themselves with no real-time human intervention. Autonomic computing relies on many branches of science – especially computer science, artificial intelligence, control theory, machine learning, multi-agent systems and more. Autonomic computing is an active research field which currently transfers many of its results into software engineering and many applications. This Hauptseminar offered the opportunity to learn about the fascinating technology “autonomic computing” and to do some personal research guided by a professor and assisted by the seminar peers.:Introduction 5 1 What Knowledge Does a Taxi Need? – Overview of Rule Based, Model Based and Reinforcement Learning Systems for Autonomic Computing (Anja Reusch) 11 2 Chancen und Risiken von Virtual Assistent Systemen (Felix Hanspach) 23 3 Evolution einer Microservice Architektur zu Autonomic Computing (Ilja Bauer) 37 4 Mögliche Einflüsse von autonomen Informationsdiensten auf ihre Nutzer (Jan Engelmohr) 49 5 The Benefits of Resolving the Trust Issues between Autonomic Computing Systems and their Users (Marc Kandler) 61