Last two years was not only the Czech new cars market greatly suppressed by the global economic crisis. Especially in this time was necessary for the survival advantage using all the possible tools that could help sustain sales. This thesis aims to completely map the ever-evolving internet marketing, both in terms of actual campaigns, internet advertising theory and practical experience in the course of writing the work yet to be tried and evaluated realistically. The work will analyze the various competing campaigns and evaluate their success on which we get to the comparison of theoretical and real effective campaign plane.

The project focus has been development of guidelines and methods for upper extremity injury reduction in car crashes. The safety of the central body parts improves which indicates the need to develop methods for avoiding non-life threatening injuries such as fracture of the arms. The purpose of the project was to study the injury mechanisms for the upper extremity in car crashes, and the aim has been to propose methods to reduce the injuries. The project focuses on adult occupants inside the vehicles front seat, and frontal and side impacts. The procedure began with understanding and identifying the injury mechanisms. Studies show that most fractures occur on the forearm (radius and ulna) and on the wrists and hands. To determine which injury mechanisms that were most frequent, data were collected from 29 computer simulations with 29 different crash scenarios. The most common kind of impact was the medial part of the wrist in the central part of the instrument panel, combined with the impact of the elbow in the center consol. The results of the simulations created a basis for the method of the component test, with focus on the injury mechanism i.e. the forward movement of the arms into the instrument panel. The component test consisted of a test rig, on which was mounted with a measuring arm of a 50th percentile male dummy. The arm dropped into a block of expanded polypropylene (EPP-block) for observation and study, and with following variable parameters: the impact angle of the surface, velocity and position of the wrist. Then also an instrumented measuring arm from a 5th percentile female dummy was released into an instrument panel. The project contributes to knowledge about the injury mechanism of the upper extremity in car crashes. The most frequent injury mechanism is a forward movement of the arms resulting in an impact with the interior structure of the car. The most frequent injured region is the distal part of the upper extremity. The project has developed and suggested the first step to a test method for the specific injury mechanism. There is a need of more research on how impact angles and velocity affect the violence on the arm.

The great advancements in technology are transforming cars into the next digital frontier, redefining people’s lifestyle around mobility. The thesis intended to push further on this trend, exploring new interaction paradigms and creating delightful experiences in future self-driving vehicles. With a cross-discipline scope, the formula is to blend digital information into physical form and material, blurring the boundary between the car’s interior and interface. As the conclusion, I learned that a constant harmony between virtual and physical world is the key for designers to create natural and intuitive experiences with technology. The final result is an autonomous interior concept with multi-sensory user experiences. The core interface, as the physical manifestation of the car’s artificial intelligence, interact with users emotionally, offering its amazing capability in assistance. The in-car environment is evolved with sensors and displays, providing intuitive access to dedicated functions and immersive content.

Thesis (MBA) --University of Limpopo, 2008 / Despite crucial strategic value of fleets, most organizations have relegated the management of their vehicles as being very low on their list of priorities. Consequently, they are entrusting unsuitable people with management of their fleet. Without proper management, huge amounts of money are wasted through fuel fraud and with repairs being done too late or not at all, leaving expensive vehicles idle for months (Barrow 1999).It has been observed that managing fleets with the emphasis on bookkeeping and finance, rather than operational realities, leads to huge and unnecessary costs and massive fraud (Barrow 1998). Efficiency in fleet management is about having a fleet that works directly to support the organizational goals. It is imperative that a study was conducted to analyze the situation of pool cars in the Department of Water Affairs and Forestry (DWAF) in the Limpopo Province to ensure the efficiency in its fleet management

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Abstract Car Insurance is the largest part of source of revenue for property insurance companies and is accounted for 50-60% of the revenue of total property insurance. In 2002, the total premium revenue for the industry is NT$48.532 billion, hence is closely related to the survival, growth and profit of the industry. Therefore, all the property insurance companies place their effort in this type of programs. The paper subjected the consumers of car mandatory insurance to investigate the subscription decision of consumers by applying concepts, techniques and loyalty in customer relationship. The statistical methods employed in this paper are logistic regression and multiple regression and the Excel and Sas computer package software are used to analysis, investigate and infer the probability and subscribing amount of general consumers in subscribing car 3rd party liability coverage based on variables including age, sex, living area, marital status, age of car, level of educations, renewed years and the car insurance premium. The findings of this research are as the following: 1. The logistic regression analysis indicates that the decision on subscribing car liability insurance is not affect by the status variables, except level of education, and is not affected by age, sex, marital status and living area. 2. The logistic regression analysis also indicate, in the transaction data statistical variables, the decision of subscribers of mandatory car insurance in subscribing car liability insurance is significantly different in age of car, years of subscribing car liability insurance and marketing channel. 3. The linear regression analysis indicates that in the decision for amount of car liability insurance will not be affected by the status variables, except level of education, and is not affected by age, sex, marital status living area. 4. The linear regression analysis also shows that in the transaction data statistical variables, the decision in of subscriber of mandatory car insurance in subscribing car liability insurance is significantly different in age of car, years of subscribing car liability insurance, but not the marketing channel. 5. Multiple regression conducted on the basis of the above analysis has come up with the following outcomes: The age of car and the year with car liability coverage have significant effect on whether to subscribe and the amount subscribed. Therefore the regression equation is established as the following: 3rd Party Liability Insurance Premium = - 10551 + 128 car age + 740 car liability insurance subscribed years. Key Words: Customer Relationship Management, Loyalty, Mandatory Car Insurance, Car Liability Coverage.

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