Winning the Hardware-Software Game

Using Game Theory to Optimize the Pace of New Technology Adoption

Innovators of new technology systems requiring users to combine both hardware and software components often face delays in adoption of their new systems.  Users will not buy the hardware until enough software or content is available, while at the same time software providers will not provide content until enough users have adopted the new system.  This book examines the dynamics of this adoption process and provides methods for optimizing the pace of adoption of new technology systems.     Read more...

User Demand for New Systems Software Example PDF Print E-mail
User demand for new systems software depends on:
  • The number of users who have adopted the new system -- the more new systems users there are, the greater will be the demand for new systems content.
  • The amount of content supplied for the new system and the degree to which later content complements (enhances the value of) or substitutes for earlier content -- the greater the degree of content complementarity, the more content will be demanded as more content is supplied.  In contrast, when content is more substitutable, then user demand for content will become saturated, that is, it will be relatively lower when more content is available.
  • The price of new systems content -- lower prices lead to greater demand.

Numerical Example

For a specific configuration of parameters, the simulation model suggests that SW will see the following demand for new systems content when the price of content is $25:

user_adoption_sw

In this example, when 20% of potential users have adopted the new system and 25% of content is supplied for the new system, then users will demand that 95% of content be available for the new system.  For this scenario, the demand for new systems content, 95%, is greater than the supply, 25%.  In this case, then, SW should either switch over more of his resources away from the production of old systems content and toward the production of new systems content, or raise the price of new systems content.

Alternatively, when only 5% of potential users have adopted the new system and SW has made 30% of content available for the new system, the supply of content, 30%, exceeds demand, 6%.  In this case, SW should either decrease his supply of new systems content or decrease his price.