The purpose of this dissertation is to explore how the economic return of a software investment can be assessed and managed. This topic has been studied in research and has been a concern for firms making software investments. In order to study this we need a model of the underlying factors affecting the economic return. Assessing and managing the return of a software investment is been argued to be difficult due to specific economic characteristics of a software investment, i.e. high degree of intangible consequences and uncertainty about the total investment cost. Given these characteristics it is has been concluded that it is difficult to derive a return function. In this dissertation we question this conclusion and propose a comprehensive model to assess and manage the intangibles and the underlying uncertainty. The model is deduced from general assumptions of the economic behavior of the firm. To develop the model we analyze the relevance of intangibles in relation to the economic purpose of making a software investment. Based on this a new way of deriving a cash flow function for a software investments is defined. Further it is analyzed how the underlying uncertainty of a software investment can be managed. The analysis uses a quantitative approach and methods from financial economics. It includes how the application of a real option and portfolio approach can reduce the uncertainty in a software investment and the role of efficient software platforms. The relation between software platforms and the opportunity to create different types of real options for future development is inferred from empirical studies. The studies in this dissertation show how a managerial view on a software investment corresponds with the overall economic goal of the firm. They also show how a strategic value of a software investment can be created, assessed and managed.

Software systems are today a part of more or less every organization. The varieties of software used in organizations are ranging from simple log-keeping applications to advanced decision support systems. The task of a priori valuation of software investments has attracted a lot of research for a long time. One of the main themes of this research has been which types of consequences software investments result in and how these consequences can be incorporated in the a priori valuation of the investment. Much of this research has stated the problem as how to incorporate intangible consequences in the valuation since intangible costs and benefits are assumed to represent a large part of the consequences from a software investment. These consequences are therefore highly relevant in the appraisal of software investments. This thesis is concerned with the question of how intangible consequences can be incorporated in the a priori valuation of a software investment. To answer this question, this thesis presents a theoretical model for the valuation of a software investment based upon a discounted cash flow model in continuous time. The general model argued for in this thesis is that usage results in consequences which must be translated into cash flows to be incorporated in a discounted cash flow model. The software usage is chosen as the underlying value creating function since it is the basic underlying function that creates all consequences specific to the software investment. This thesis develops a stochastic cash flow model to incorporate the uncertainty and characteristics of when the intangible conse quences have an effect on the cash flow by adopting a Brownian motion into the valuation model. To find an analytic model for the problem, the expectations of the future cash flows is transformed into risk-neutral expectations. This allows us to use the risk-free rate of return as a discount factor in the model.