Die Produktlebenszyklusanalyse ist ein wichtiges Instrument der Produktpolitik. Verschiedene Diffusionsmodelle werden in der Theorie und Praxis angewendet, um Aussagen über künftige Umsatzverläufe zu erhalten. Die mathematische Modellierung geht grundsätzlich von einem deterministischen...

Genaue Prognosen von Absatzmöglichkeiten und Marktpotenzialen für Innovationen können heute ein entscheidender Faktor sein, um sich auf dem Markt zu behaupten. Ein verspäteter Markteintritt kann gravierende Auswirkungen auf den Umsatz und somit auf den Erfolg des Unternehmens haben. Dieser...

Genaue Prognosen von Absatzmöglichkeiten und Marktpotenzialen für Innovationen können heute ein entscheidender Faktor sein, um sich auf dem Markt zu behaupten. Ein verspäteter Markteintritt kann gravierende Auswirkungen auf den Umsatz und somit auf den Erfolg des Unternehmens haben. Dieser...

Purpose – Due in large part to the proprietary nature of costs, there is a dearth of academic literature investigating the factors influencing the costs for sport marketing investments, such as sponsorship. Therefore, the purpose of this study is to provide an analytical framework for market...

Today's Internet marketing ecosystems are very complex, with many competing players, transactions concluded within milliseconds, and hundreds of different parameters to be analyzed in the decision-making process. In addition, both sellers and buyers operate under uncertainty, without full...

One important problem in the marketing and user growth for businesses is to infer the marginal gains of specific campaigns or strategies, which is crucial for the decision makers to determine whether to carry on or terminate certain policies. However, in most cases the return of gaining...

Simulated test marketing (STM) is a quantitative technique used to forecast new product sales, one of the most validated tools in all marketing research. Forecasting awareness is an important stage in that process, one critical to STM performance. Awareness models incorporated into popular STMs...

Raw ensemble forecasts display large errors in predicting precipitation amounts and its forecast uncertainty, especially in mountainous regions where local e.ects are often not captured. Therefore, statistical post-processing is typically applied to obtain automatically corrected weather...

Ultrabroadband (UBB) is becoming increasingly an important techno-economic and policy issue. New advances and greater convergence of wireline and wireless technologies allow for faster communications and more applications which require higher speeds of transmission. Many countries perform...

We introduce a new methodology for forecasting which we call Signal Diffusion Mapping. Our approach accommodates features of real world financial data which have been ignored historically in existing forecasting methodologies. Our method builds upon well-established and accepted methods from...