Valuation of IT Investments Using Real Options Theory

Real Options Theory is often applied to the valuation of IT investments. The application of Real Options Theory is generally accompanied by a monetary valuation of real options through option pricing models which in turn are based on restrictive assumptions and thus subject to criticism. Therefore, this paper analyzes the application of option pricing models to the valuation of IT investments. A structured literature review reveals the types of IT investments which are valued with Real Options Theory in scientific literature. These types of IT investments are further investigated and their main characteristics are compared to the restrictive assumptions of traditional option pricing models. This analysis serves as a basis for further discussion on how the identified papers address these assumptions. The results show that a lot of papers do not account for critical assumptions, although it is known that the assumptions are not fulfilled. Moreover, the type of IT investment determines the criticality of the assumptions. Additionally, several extensions or adaptions of traditional option pricing models can be found which provide the possibility to relax critical assumptions. Researchers can profit from the results derived in this paper in two ways: First, it is demonstrated which assumptions can be critical for various types of IT investments. Second, extensions of option pricing models that relax critical assumptions are introduced

Managerial risk in information technology investments : effects of framing, narrow framing and time inconsistent preferences on real options exercise decisions

Real options theory has been advocated as a solution to risky IT investment decisions. IT investments decisions are risky due to uncertainty around future outcomes and the inability of traditional financial measures (like NPV, IRR) to account for inherent managerial flexibility. On the one hand, it is argued that real options analysis captures and formalizes managers' intuition, hence creating a disciplined decision making process. On the other hand, the intuitive valuation of the options is criticized due to the prevalent effects of various judgmental biases. In this dissertation, we explore three potential biases that can affect the real option exercise decisions in terms of either suboptimal option exercise choice due to framing and narrow framing effects, or suboptimal exercise time due to time inconsistent preferences of IT managers. We test for framing effects in individual IT project decisions and narrow framing effects in IT portfolio decisions, by conducting an online experiment among top and mid-level IT professionals. The results show that IT professionals are prone to framing real options at exercise time and simplifying complicated real option exercise decisions by isolating them in IT portfolios. Further, their decisions are influenced by their personal risk preferences. We analyze the effect of time-inconsistent preferences of present-biased managers on the exercise time of real growth and abandonment options and the realized values using a discrete time option valuation model. The results show that present-biased managers are more likely to exercise growth options early when the net payoffs are low, the growth option payoffs have high volatility, and the risk free discount rate is small. Also, present-biased managers are more likely to exercise abandonment option late when the net payoffs from continuing the project are high, salvage value of the project is low, and the rate of change in the salvage value over the period of time is low. In addition, present biased managers are more likely to exercise a growth option early in its life when the project is performing well. We provide implications for practice and IT governance

Uncertainty and Human Capital Decisions: Traditional Valuation Methods and Real Options Logic

As the importance of human capital increases in organizations, so does the need to develop more sophisticated financial valuation models. This paper reviews some of the major traditional financial decision making models used in costing employment mode choices. It then introduces the real options valuation approach for costing such choices. The advantage of the real options model is demonstrated to build flexibility into employment decisions

Business Value of IT Investment: The Case of a Low Cost Airline’s Website

Using the case of a low cost airline company’s website we analyze some special research questions of information technology valuation. The distinctive characteristics of this research are the ex post valuation perspective; the parallel and comparative use of accounting and business valuation approaches; and the integrated application of discounted cash flow and real option valuation. As the examined international company is a strategic user of e-technology and wants to manage and account intangible IT-assets explicitly, these specific valuation perspectives are gaining practical significance

ArchOptions: A Real Options-Based Model for Predicting the Stability of Software Architectures

Architectural stability refers to the extent an architecture is flexible to endure evolutionary changes in stakeholders\' requirements and the environment. We assume that the primary goal of software architecture is to guide the system\'s evolution. We contribute to a novel model that exploits options theory to predict architectural stability. The model is predictive: it provides \"insights\" on the evolution of the software system based on valuing the extent an architecture can endure a set of likely evolutionary changes. The model builds on Black and Scholes financial options theory (Noble Prize wining) to value such extent. We show how we have derived the model: the analogy and assumptions made to reach the model, its formulation, and possible interpretations. We refer to this model as ArchOptions

Internet of Things and Their Coming Perspectives: A Real Options Approach

Internet of things is developing at a dizzying rate, and companies are forced to implement it in order to maintain their operational efficiency. The high flexibility inherent to these technologies makes it necessary to apply an appropriate measure, which properly assesses risks and rewards. Real options methodology is available as a tool which fits the conditions, both economic and strategic, under which investment in internet of things technologies is developed. The contribution of this paper is twofold. On the one hand, it offers an adequate tool to assess the strategic value of investment in internet of things technologies. On the other hand, it tries to raise awareness among managers of internet of things technologies because of their potential to contribute to economic and social progress. The results of the research described in this paper highlight the importance of taking action as quickly as possible if companies want to obtain the best possible performance. In order to enhance the understanding of internet of things technologies investment, this paper provides a methodology to assess the implementation of internet of things technologies by using the real options approach; in particular, the option to expand has been proposed for use in the decision-making process

Recognizing Risk in Human Capital Investments: A Real Options Approach to Strategic Human Resource Management

An issue that has not yet been explored in the field of strategic human resource management (SHRM) is that of managing the ‘risks’ involved in human capital management of the firm. We address this issue using the real option theory framework. We argue that certain HR practices manage risk and generate opportunities for the firm by creating \u27options\u27 for its human capital management. These HR options help ensure stability of returns from human capital and thus sustain competitive advantage. Different types of HR options and the role of certain HR practices in creation of these options are discussed

Stock options as incentive contracts and dividend policy

Executive Stock Option Programs (SOPs) have become the dominant compensation instrument for top-management in recent years. The incentive effects of an SOP both with respect to corporate investment and financing decisions critically depend on the design of the SOP. A specific problem in designing SOPs concerns dividend protection. Usually, SOPs are not dividend protected, i.e. any dividend payout decreases the value of a manager’s options. Empirical evidence shows that this results in a significant decrease in the level of corporate dividends and, at the same time, into an increase in share repurchases. Yet, few suggestions have been made on how to account for dividends in SOPs. This paper applies arguments from principal-agent-theory and from the theory of finance to analyze different forms of dividend protection, and to address the relevance of dividend protection in SOPs. Finally, the paper relates the theoretical analysis to empirical work on the link between share repurchases and SOPs

On Real Options and Information Costs.

This paper presents a simple framework for the use of traditional capital budgeting models and the valuation of several real options in the presence of shadow costs of incomplete information. Information costs can be viewed as sunk costs in the spirit of Merton’s (1987) model of capital market equilibrium with incomplete information. We incorporate these sunk costs in standard discounted cash flow techniques and present the basic concepts of real options. The justification of information costs in real projects is based on the observation that R&D needs to be done before investment decisions. These costs account for all the expenses needed to get informed about an investment opportunity and the management of projects. This analysis extends the models in Bellalah (1999, 2001) for the valuation of real options within information uncertainty. We present valuation models and simulations for the values of common real options in the presence of shadow costs of incomplete information.Capital budgeting; Investment policy; Asset pricing; Option pricing; Information and market efficiency;

New Method for Real Option Valuation Using Fuzzy Numbers

Real option analysis offers interesting insights on the value of assets and on the profitability of investments, which has made real options a growing field of academic research and practical application. Real option valuation is, however, often found to be difficult to understand and to implement due to the quite complex mathematics involved. Recent advances in modeling and analysis methods have made real option valuation easier to understand and to implement. This paper presents a new method for real option valuation using fuzzy numbers that is based on findings from earlier real option valuation methods and from fuzzy real option valuation. The method is intuitive to understand and far less complicated than any previous real option valuation model to date.Real Options, Fuzzy Numbers, New Method