The optimal licensing contract in a differentiated Stackelberg model.

Area of Science:

• Economics
• Intellectual Property
• Innovation Management

Background:

• Extends prior research on Stackelberg models and technology licensing.
• Focuses on an inside innovator licensing a new technology through various methods.

Purpose of the Study:

• To analyze and compare the effectiveness of fixed-fee, royalty, and two-part tariff licensing strategies.
• To determine the optimal licensing strategy for an innovator under different innovation types and market conditions.

Main Methods:

• Utilizes a differentiated Stackelberg duopoly model.
• Analyzes licensing contracts including fixed-fee, royalty, and two-part tariffs.
• Examines the impact of innovation size (drastic vs. nondrastic) and product differentiation.

Main Results:

• Royalty licensing outperforms fixed-fee licensing for nondrastic innovations.
• For drastic innovations, royalty licensing is preferred for low product differentiation; neither is viable for high differentiation.
• Two-part tariffs consistently yield better outcomes for innovators than fixed-fee licensing, regardless of innovation size.

Conclusions:

• Innovators achieve superior outcomes with two-part tariffs over fixed-fee licensing.
• For nondrastic innovations, two-part tariffs are preferred over royalty licensing.
• The optimal strategy for drastic innovations balances two-part tariffs and royalty licensing based on market competition.