Short answer
When designing systems that rely on user-generated content or knowledge, implement robust quality control and feedback loops alongside any reward or incentive programs.
- Field
- Innovation & Design
- Source
- Human Factors and Ergonomics in Manufacturing & Service Industries (2010)
- Method
- Game theory modeling and case study
- Evidence
- Strong effect
Simply offering rewards for knowledge contributions in a knowledge management system (KMS) is not enough to ensure effective knowledge sharing; integrating quality evaluation mechanisms is essential to prevent a decline in knowledge value and system usage. This innovation & design research insight is drawn from a 2010 study published in Human Factors and Ergonomics in Manufacturing & Service Industries. Using Game theory modeling and case study, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing systems that rely on user-generated content or knowledge, implement robust quality control and feedback loops alongside any reward or incentive programs.
Reward Systems Alone Are Insufficient to Drive Knowledge Sharing; Quality Mechanisms are Crucial
Simply offering rewards for knowledge contributions in a knowledge management system (KMS) is not enough to ensure effective knowledge sharing; integrating quality evaluation mechanisms is essential to prevent a decline in knowledge value and system usage.
Human Factors and Ergonomics in Manufacturing & Service Industries · 2010
Key Findings
- 01Four types of Nash equilibriums exist in knowledge-sharing situations: Perfect, Free-riding, Non-use, and Dormant.
- 02The absence of quality consideration in reward systems can lead to a vicious cycle of low-quality contributions and system disuse.
Application
Design takeaway
When designing systems that rely on user-generated content or knowledge, implement robust quality control and feedback loops alongside any reward or incentive programs.
How to apply
When designing a new knowledge-sharing platform or revising an existing one, integrate a peer-review or expert-validation system for submitted knowledge, and link rewards to validated contributions.
Project actions
- 01Consider how your design will motivate users to contribute valuable information, not just any information.
- 02Think about how you can build in ways to assess the quality of user-generated content.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Combines theoretical modeling with empirical validation.
- +Addresses a practical problem in organizational knowledge management.
Limitations
Real-world organizational dynamics are complex and may not be fully captured by simplified models or single case studies.
Reliability & validity
The study's validity is supported by the empirical validation of game-theory propositions through a case study. Reliability could be enhanced by replicating the case study across diverse organizational settings.
Think critically
To what extent can game theory accurately model complex human interactions in a knowledge-sharing environment, and what are the ethical considerations of designing reward systems that might encourage certain types of 'strategic' behavior?
Design Principles
"Incentivize quality over quantity to foster a sustainable and valuable knowledge ecosystem."
Designers and engineers developing or improving knowledge management systems must consider the behavioral economics and social dynamics of user engagement. A system that solely focuses on quantity of contribution without addressing quality can lead to a negative feedback loop, rendering the system ineffective.
What This Means for Your Design
Just giving people rewards for sharing information in a company's online system isn't enough. If you don't also check if the information is good, people might share bad stuff, and then nobody will use the system.
How to use in your project
- 1.Reference this study when discussing the motivation behind user contributions in your design project and how your proposed system addresses potential pitfalls of reward-only systems.
Add to My Project
Quick Cite
Paragraph starter
The effectiveness of knowledge management systems is significantly influenced by user motivation and the quality of contributions. Research indicates that reward systems alone can be insufficient, potentially leading to a decline in knowledge quality and system usage if not coupled with robust quality evaluation mechanisms. Therefore, design interventions should prioritize not only incentivizing participation but also ensuring the value and accuracy of shared knowledge through integrated quality assessment processes.
Source
Human Factors and Ergonomics in Manufacturing & Service Industries
Knowledge‐sharing reward dynamics in knowledge management systems: Game theory–based empirical validation
journal · 2010
View sourceQuestions About This Research
- What does the research say about reward systems alone are insufficient to drive knowledge sharing; quality mechanisms are crucial?
- When designing systems that rely on user-generated content or knowledge, implement robust quality control and feedback loops alongside any reward or incentive programs. Evidence: Human Factors and Ergonomics in Manufacturing & Service Industries (2010).
- Why does "Reward Systems Alone Are Insufficient to Drive Knowledge Sharing; Quality Mechanisms are Crucial" matter for design?
- Designers and engineers developing or improving knowledge management systems must consider the behavioral economics and social dynamics of user engagement. A system that solely focuses on quantity of contribution without addressing quality can lead to a negative feedback loop, rendering the system ineffective.
- How can designers apply this research?
- When designing systems that rely on user-generated content or knowledge, implement robust quality control and feedback loops alongside any reward or incentive programs.
- What were the main findings?
- Four types of Nash equilibriums exist in knowledge-sharing situations: Perfect, Free-riding, Non-use, and Dormant.. The absence of quality consideration in reward systems can lead to a vicious cycle of low-quality contributions and system disuse.
- What research method was used?
- Game theory modeling and case study.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2010 journal from Human Factors and Ergonomics in Manufacturing & Service Industries.
- What should I do differently in my next project?
- When designing a new knowledge-sharing platform or revising an existing one, integrate a peer-review or expert-validation system for submitted knowledge, and link rewards to validated contributions.
- What are the limitations?
- The game-theory models are simplifications of complex human behavior, and the case study's findings may not be universally generalizable across all organizational contexts.