No description available.

No description available.

No description available.

No description available.

No description available.

Return on marketing investment has received attention for a long period of time. On the other hand, customers and the value that they bring to a company have enjoyed increased attention lately. Concepts like customer obsession, customer life time value, customer delight, customer equity and other topics have been researched by a number of scholars. Customer equity as a marketing concept is the latest in marketing research. The concepts purport that management of a company should be able to calculate the value added to the company by its current and future customers. Such value is then discounted using the appropriate discount rate i.e. weighted average cost of capital (WACC). This research focused on the possibility of using Customer Equity to calculate enterprise value. The purpose was to determine whether any variance between results of the two methods is statistically significant and whether or not a relationship between CE based enterprise value and discounted cash flow (DCF) based enterprise value exist. From the analysis conducted it was concluded that no statistically significant variance existed between Customer Equity based enterprise value and DCF enterprise value. It was also noted that a relationship exist between customer equity and an enterprise value calculated using the DCF model. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

Univ., Diss.--Rostock, 2002.

Zugleich: Diss. Regensburg, 2008. / Literaturverz.

Zugleich: Diss. Regensburg, 2008. / Literaturverz.

The awareness and interest for digitalization have increased tremendously during recent years. However, many companies are struggling to identify the economic benefits and often face long payback time and large initial investment costs. This study aims to assess the potential economic effects from digitalization projects in the steel production industry. The study begins by elucidating central concept like, digitization, digitalization, digital transform and the link between digitalization and automation. Furthermore, the study identifies effects of digitization at production level from an internal efficiency perspective, based on existing literature. On this basis, an investment tool for digitization projects has been developed, consisting of three different analyzes; a level of automation analysis, a quantitative analysis and a qualitative analysis. To continue, the investment model has been applied to a potential investment of a smart automatic crane. The results from all three analyses provided positive results and incentives to initiate the project. As a result of poor data collection and rigid data, only one effect could be accounted for in the quantitative analysis, which generated a net present value of nearly 12 MSEK over a tenyear period. The most critical parameter proved to be the timing of initiating the project. / Medvetenheten och intresset för digitalisering har ökat enormt under de senaste åren. Många företag kämpar emellertid med att identifiera de ekonomiska fördelarna och möter ofta långa återbetalningstider och stora initiala investeringskostnader. Denna studie syftar till att utvärdera de potentiella ekonomiska effekterna av digitaliseringsprojekt i stålproduktionsindustrin. Studien börjar med att redogöra för vad digitalisering är samt kopplingen mellan digitalisering och automation. Vidare identifierar studien effekter av digitalisering på produktionsnivå ur ett internt effektivitetsperspektiv baserat på befintlig litteratur. Baserat på detta har ett investeringsverktyg för digitaliseringsprojekt utvecklats, bestående av tre olika analyser; en automationsgradsanalys, en kvantitativ analys och en kvalitativ analys. Investeringsmodellen har dessutom tillämpats på en potentiell investering i form av en smart automatkran. Resultaten från samtliga tre analyser var positiva och utgjorde incitament till att initiera projektet. Som ett resultat av bristande datainsamling och ostrukturerade data kunde kostnadsbesparingen från endast en effekt redovisas i den kvantitativa analysen, vilken genererade ett nuvärde på nästan 12 MSEK under en tioårsperiod. Den mest kritiska parametern visade sig vara tidpunkten för att implementera projektet.