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Emerging Technologies Enabling Sustainable Business Models Under Resource Constraints
Abstract
This research examines how emerging technologies enable sustainable circular business models under resource constraints and thermodynamic limitations. Through analysis of seventeen case studies spanning biotechnology, digital platforms, and advanced manufacturing, it reveals that AI, IoT, biotechnology, and advanced materials function as selective enablers rather than universal solutions, addressing specific thermodynamic and economic barriers while creating new dependencies. Technology-enabled business models demonstrate competitive advantages through service-based revenue models and enhanced resource efficiency. Platform-based approaches show superior scaling characteristics, though contextual dependencies limit universal replication. Policy frameworks emerge as necessary but insufficient enablers. The research identifies significant environmental and social trade-offs requiring systematic attention.
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