In order to use the limited resources of sales and marketing optimally, and to provide customers with the best services, effective customer segmentation is of prime importance. This thesis deals with methods for analysing and comparing the individual values of customers for SMEs (Small Medium...

This thesis aims to add knowledge that contributes to answering the question of how digital transformation technologies can contribute to increasing customer value in logistics and supply chain management (L&SCM), and how manufacturing companies can mindfully use them. The output of the thesis...

Seit Mitte der 1990er Jahre wurde in der Energiewirtschaft der Liberalisierungsprozess gestartet und hat bis heute zu einer Zunahme des Wettbewerbs in der Branche geführt. Wurden vor Jahren die Abnehmer von den Unternehmen lediglich als "Zählernummer" wahrgenommen, so handelt es sich heute um...

Card issuers have mainly relied on rewards programs as their main strategic driver to increase electronic payments. However, there is scarce evidence on the effectiveness of rewards programs. This paper offers novel evidence on two key issues: i) it measures the impact of rewards programs on the...

This paper attempts to investigate empirically the strength of intra-city football club support and seeks to test the commonly held belief among the sports community that supporters will not switch allegiance between city rivals very readily. To test this phenomenon data on the attendances of...

Die vorliegende empirische Studie soll zeigen, wie sich Bonusprogramme, speziell Treueprogramme und Kundenkarten, auf das Einkaufsverhalten von Konsumenten im deutschen Lebensmitteleinzelhandel auswirken. Die Studie wurde von Bachelorstudenten des Studiengangs Business Administration der...

In this paper, we investigate whether the Google search activity can help in nowcasting the year-on-year growth rates of monthly US private consumption using a real-time data set. The Google-based forecasts are compared to those based on a benchmark AR(1) model and the models including the...

In this paper, we investigate whether the Google search activity can help in nowcasting the year-on-year growth rates of monthly US private consumption using a real-time data set. The Google-based forecasts are compared to those based on a benchmark AR(1) model and the models including the...

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study...