Competition vs Collaboration
Reward knowledge transfer explicitly alongside local results so governance incentives drive practice diffusion without eliminating performance-motivating competition.
CyberTRIZ analysis · Benchmarking contradiction ITO028 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Internal and external benchmarking can create competition by showing which teams, facilities, suppliers, or business units perform best. Competition can motivate improvement and make superior performance visible. However, excessive competition may discourage knowledge sharing because high performers have little incentive to reveal practices that preserve their ranking. Pure collaboration creates stronger learning but can reduce the motivational effect created by visible performance differences.
Benchmarking TRIZ Resolution
Organizations should compete on outcomes while collaborating on improvement mechanisms. Performance differences can remain visible where comparison is appropriate, but knowledge-sharing systems should reward the transfer and adoption of successful practices. High-performing units can gain recognition not only for their own results but also for their contribution to enterprise-wide improvement.
Applicable TRIZ Principles
Principle 1 – Segmentation separates performance competition from knowledge collaboration.
Principle 5 – Merging creates shared mechanisms for transferring successful practices.
Principle 23 – Feedback makes the enterprise impact of shared knowledge visible to contributing teams.
Expected Outcome
Stronger performance motivation
Greater knowledge sharing
Faster diffusion of superior practices
Reduced internal information protection
Decision Indicators
Early indicators include:
High-performing units resist sharing methods with weaker units.
Internal rankings create political behavior around benchmark definitions.
Collaborative benchmarking produces discussion but little performance urgency.
Teams receive recognition only for local results.
Similar improvement problems are solved independently across multiple units.
These conditions indicate that competition and collaboration should operate on different dimensions of the benchmarking system.