סמינר באסטרטגיה

Abstract:

Strategic investment decisions often involve substantial uncertainty, e.g., technology development or corporate diversification. 

Real options theory suggests a decision logic emphasizing the value of small initial investments that provide the opportunity to make additional investments after uncertainty is resolved.

However, real options theory is grounded in financial market assumptions that ignore the challenges associated with the decision to exercise or terminate an option. 

We develop a behavioral theory of real options that formally embeds realistic assumptions about informational properties of the environment and behavioral properties of firms. 

We recognize that an option model of decision-making and a bandit model of experiential learning are fundamentally interrelated models of sequential decision-making under uncertainty.

Our theory predicts conditions under which over- or under-execution errors (exercising or terminating an option erroneously) are likely, and policies that will shift the relative balance between them. 

One implication is that firms formally applying Black-Scholes mathematics are likely to overestimate the value of a real option. 

Our model provides a more appropriate estimate. 

Another implication is that a firm that learns about the value of exercising (or terminating) an option more effectively than rivals may generate competitive advantage by making fewer value-destroying ‘mistakes’ in factor markets