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The working paper at hand assumes that differences of innovativeness of different countries can be explained to a certain extent by cultural differences. Thus, the paper deals with the research question of which cultural dimensions have an influence on national innovativeness. Previous research mainly uses the Hofstede-dimensions to describe cultural differences and often focuses on single parameters to describe national innovativeness (e.g. number of patents per capita). This paper, instead, uses the dimensions of the GLOBE-study which builds on the findings of Hofstede but is more up-to-date and comprehensive and uses two innovation indexes – the Global Innovation Index (GII) and the Innovation Union Scoreboard (IUS) – to describe national innovativeness. The authors use correlation analysis to find relationships between the GLOBEdimensions and the innovation indexes. They find positive correlations of innovativeness (both indexes) to Future Orientation (practice scale), Gender Egalitarianism (value scale), Human Orientation (value scale) and Uncertainty Avoidance (practice scale) as well as negative correlations to In-Group Collectivism (practice scale), Future Orientation (value scale) and Uncertainty Avoidance (value scale). Some of the findings are contrary to existing hypotheses, e.g. only a weak negative correlation of Power Distance to one of the indexes. Furthermore the findings show significant differences between practice scales and value scales, especially concerning Future Orientation and Uncertainty Avoidance which deserve further examination. Overall it can be concluded that culture has an impact on national innovativeness. The different cultural dimensions of the GLOBE-study show a multi-faceted interrelationship between culture and innovation. To come to a concise answer for the question which dimensions affect national innovativeness in which way additional research will be necessary.
The impact of culture on entrepreneurship is a widely accepted phenomenon. Cultural factors influence entrepreneurship via different mechanisms on the macro-, meso-, and micro-level of a country. Building on existing research, we draw a clear link between national cultural dimensions and entrepreneurship, using a new model that arranges different cultural dimensions in groups based on their particular function: political, social, or individual (PSI-model) and that distinguishes between values and practices where relevant. The PSI-model provides a coherent theoretical framework on which different cultural dimensions and their impact on entrepreneurship can be analysed, allowing for particular attention to be drawn to social practices and social values. This paper contributes to a better understanding of the relationship between culture and entrepreneurship, providing empirical evidence of how specific cultural dimensions influence entrepreneurship. The findings are of relevance from a policy perspective and can be used to generate practical recommendations for national institutions interested in promoting entrepreneurship and entrepreneurial activities. The findings are also transferable to other fields related to national cultural dimensions such as level of innovation, investment, budgeting etc.
Die Studie des Competence Center Food & Retail (CCFR) der Cologne Business School (CBS) ermittelt Erfolgsfaktoren, Konsumententypen und Handlungsempfehlungen für den Online-Handel mit Lebensmitteln in Deutschland. Grundlage der vorliegenden Studie ist eine im Sommer 2014 durchgeführte onlinebasierte Verbraucherbefragung zum Thema „Online-Kauf von Lebensmitteln“.
In order to determine demand as precisely as possible, many businesses use several forecasting methods. The aim of forecasting is to determine future demand based on data from the past. The use of a specific method is not always easy and depends on a number of factors. To help prospective engineers find the most suitable forecasting method for a specific problem, a forecasting game was developed and then evaluated.
The paper describes the design and the evaluation of the forecasting game. In order to provide an overview of existing forecasting methods, the first part of the paper examined the mathematical fundamentals of eight different forecasting methods and outlined the requirements for their application.
The second part of the paper describes the creation of a forecasting game in which prospective engineers can learn how to determine the appropriate forecasting method for specific scenarios. In total, five scenarios covering the three different demand patterns (linear/stationary, trend and seasonal) as well as the forecast quality methods were developed and can be played through. For each scenario, the player has to choose the most appropriate forecasting method for a specific problem based on a self-created task description. To make the game as realistic as possible, a fictional company with a background story was designed.
The last part was about the evaluation of the forecasting game. For the evaluation, a student survey to gather the opinions of the students was conducted. The results of the student survey show an overall positive evaluation of the simulation game by the students. However, the test also showed that the game takes a certain amount of time. Since only 15 of the approximately 30 students who tested the game participated in the evaluation, the results are not significant.