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This research examines the impact of social media on consumer behavior, focusing on how consumer behavior and habits change after the use of social media by German and Chinese young consumers. A comparison of the differences between the two groups is also conducted. The study was conducted based on theoretical background and terminology, followed by six hypotheses. Then this research determined the scope, target population, and sample size before using focus groups and online questionnaires as survey methods. While analyzing the questionnaire data, the research tested the hypotheses and demonstrated the effects between the variables. The results indicated partial agreement with existing studies. Browsing time positively correlates with the purchase journey. The duration of online discounts negatively correlates with transaction speed. Young consumers' demand increases with the amount of time they spend browsing product advertisements. However, some findings ran counter to previous investigations. The impact of SMM on young consumers has no adverse effect on the time spent browsing products. Moreover, only in some cases, young consumers' purchase intentions are positively correlated with demand.
Keywords: Young consumers, Social media marketing, Consumer behavior, Purchase journey, Purchase intention, Online time-limited discounts, Demand
Over the past few decades, there has been an increasing amount of academic literature recognizing the significance of innovation systems. Entrepreneurship is an important component of an innovation system, contributing to the enhancement of regional as well as national innovation. The transfer of knowledge and technology between science and the economy has become particularly important to reinforce overall innovation performance. Today, universities and other institutions of higher education play a crucial role in the system of innovation and have evolved as active and highly relevant participants in the innovation system. Therefore, various supportive measures have been developed to increase the level of innovation at universities and to drive entrepreneurial activities. However, due to the ever-growing entrepreneurial support environment and the great variety of support programs,the distinction between support measures has become unclear. Consequently, the main objective of the present research work is to contribute to the overall understanding of supportive measures at German universities and other institutions of higher education.
Eight experts were interviewed to ensure the compilation of meaningful data. The research findings highlight the importance of a solid network of external experts as well as collaboration with other entrepreneurial institutions. Moreover, the research results indicated that an organizational structure with decentralized decision-making processes and a greater scope of actions enhances operational efficiency. While considering the indistinctness of different support programs and specific terms, although some significant differences were evaluated, overall, the results present a clear tendency toward a more cautious use of specialist terms, therefore substantiating the missing preciseness.
Germany has a long history in the car sector. However, today’s car industry is drastically changing, triggered by the accelerated rise of new technologies, sustainability policies and changing consumer preferences. The purpose of this research project is to forecast, by using the scenario planning software INKA 4, the future of cars in Germany in 2035. The research project focused mainly on cars based on internal combustion engines (ICE), fuel cell vehicles (FCV), battery electric vehicles (BEV) and Hybrid electric vehicles (HEV) and their charging infrastructure in Germany. Also, the future of autonomous driving vehicles, public transportation and carsharing in Germany were taken into consideration. Considering these factors following four areas of influence were chosen: Technology, Economics, Politics and Social. Within these areas of influence thirteen input factors (descriptors) were defined by research on current literature. The results show three distinct scenarios that reflect a possible shift towards electric mobility, autonomous driving, and an increase in the use of car sharing.
Key findings
The future of cars in Germany is affected by four areas of influence: Technology, Economics, Politics and Social. Among those four areas, a total of thirteen descriptors were selected as an input for the scenario building.
With the software INKA 4 five different scenarios were generated. Three distinctive scenarios were chosen and described to outline the future of cars in Germany in 2035.
It is highly probable that the future cars will be electrified and autonomous and that shared mobility will increase. The extent of the aforementioned change until 2035 depends highly on the German government and customer preferences.
How will the future of business schools in Germany look like in 2035? Scenario Planning with INKA 4
(2019)
Business schools have been largely successful in attracting students and producing publications in the last few decades. Nevertheless, this success has raised several concerns. With many variables influencing business schools, it is useful to predict how the future of business schools might look like. Hence, this paper aims to detect current trends in order to forecast and examine the future of German business schools by the year 2035. With the help of the scenario software INKA 4, future scenarios were generated. In order to develop these scenarios, various areas of influence, e.g. Environment, Supply, Demand, Pedagogy, and Technology were identified and conceptualized with regard to current research and literature. The final result consists of four distinct scenarios, which reflect the potential pathway of German business schools in the future.
Vehicles powered by electricity are the future of mobility in Germany. At the present
time, electromobility is rather hesitantly implemented in Germany, particularly due to
concerns regarding charging infrastructure and battery power/technology.
The purpose of this research project is to forecast – by using scenario planning techniques - how electromobility will influence the way we move in Germany by 2035. The outcome are three distinct scenarios that reflect the possible shift towards E-Mobility in Germany, especially taking into consideration the charging infrastructure, different battery technology and type of electric vehicle. In order to generate scientifically significant scenarios, input factors (Descriptors) were designed in accordance with the newest research findings from literature. Additionally, special ratios between all possible manifestations of input factors were defined, compared and evaluated.