Tags
Conceptual categories and themes that organize our co-goods research.
Goods that exhibit increasing returns to shared use, becoming more valuable as more people use them simultaneously
Usage Guidelines:
- • Use for content discussing goods with positive network effects
- • Apply to analysis of sharing economy platforms and network-based products
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The Co-Goods framework for transforming physical products from extractive to regenerative systems through demand-driven co-creation and antirival dynamics
Usage Guidelines:
- • Use for content discussing the co-goods framework and implementation
- • Apply to analysis of how physical products can incorporate antirival system design
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Shared resources managed collectively by a community, typically involving common ownership and collaborative governance
Usage Guidelines:
- • Use for content discussing collective resource management
- • Apply to analysis of community-owned and governed resources
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Economic framework for classifying and understanding different types of goods based on rivalry, excludability, and consumption characteristics
Usage Guidelines:
- • Use for content discussing economic classification of goods (public, private, club, common)
- • Apply to theoretical analysis of good properties and characteristics
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Economic phenomena where the value of a product or service increases as more people use it, creating positive feedback loops
Usage Guidelines:
- • Use for content discussing platforms and systems that become more valuable with adoption
- • Apply to analysis of user base growth and network value creation
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Goods that can be consumed or used by multiple people simultaneously without depletion
Usage Guidelines:
- • Use for content discussing goods where one person's use doesn't prevent another's
- • Apply to analysis of digital goods, knowledge, and information resources
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Economic model based on sharing, accessing, and exchanging resources through digital platforms rather than ownership
Usage Guidelines:
- • Use for content discussing platform-mediated resource sharing
- • Apply to analysis of access-based consumption models