Key Takeaways
- • Blockchain investment feasibility in fresh agricultural supply chains is contingent on three factors: demand improvement magnitude, investment cost levels, and channel structure selection (direct-selling vs. e-commerce). Retailers are more likely to deploy blockchain when demand gains are significant and costs remain relatively low.
- • Direct-selling cost thresholds determine optimal channel structure. Low direct-selling costs favor direct-selling models; as costs increase, e-commerce structures become economically superior. Blockchain investment expands the viable range for direct-selling within specific cost bands.
- • E-commerce channels offer larger feasible regions for blockchain investment adoption compared to direct-selling structures, providing retailers with greater flexibility in technology deployment decisions across channel architectures.
- • Blockchain addresses critical supply chain opacity in perishables through immutable traceability, reducing quality uncertainty and consumer distrust while lowering product loss rates—though investment costs directly constrain profit distribution and channel viability calculations.
- • Supply chain decisions and profitability are mediated through dual mechanisms: demand improvement effects and cost constraints, meaning blockchain ROI depends on quantifying both consumer trust gains and infrastructure investment burdens.
Summary
Fresh agricultural products face structural economic challenges rooted in perishability and information asymmetry. Product loss, consumer skepticism, and environmental waste stem directly from quality uncertainty and supply chain opacity. A peer-reviewed analysis published in Frontiers examines how blockchain technology investment interacts with dual-channel supply chain structures—direct-selling and e-commerce models—to address these market failures while managing capital deployment constraints.
The research models blockchain investment as both a transparency enabler and a cost constraint, then identifies decision boundaries across three critical dimensions. First, supplier channel selection depends primarily on direct-selling cost parameters. When direct-selling costs are low, suppliers favor direct channels; as costs rise, e-commerce becomes the rational choice. Importantly, blockchain investment shifts these boundaries, expanding the viable range for direct-selling structures within specific cost windows. This suggests blockchain can improve direct-channel economics sufficiently to delay or prevent migration to e-commerce for certain cost profiles.
Second, retailer blockchain adoption depends on the alignment of three variables: trust gains from immutable product traceability, market size expansion from consumer confidence improvements, and absolute investment costs. The analysis indicates that e-commerce structures offer substantially larger feasible regions for blockchain investment than direct-selling models, implying retailers operating through e-commerce platforms have greater latitude to absorb blockchain costs and realize returns at varying demand elasticity levels. Adoption becomes most probable when demand improvements are substantial and investment costs remain moderate.
Third, blockchain operates as a dual-mechanism lever on supply chain economics. It generates demand improvement through transparency and credibility—strengthening consumer trust and reducing product loss—while simultaneously imposing cost constraints that affect profit allocation between channel participants. The interplay between these effects determines whether blockchain deployment enhances or degrades overall supply chain profitability. The research provides quantitative boundaries for practitioners evaluating channel architecture decisions and technology investment sequencing in fresh agricultural logistics, addressing a sector where information opacity traditionally amplifies resource waste and environmental burden.
The research models blockchain investment as both a transparency enabler and a cost constraint, then identifies decision boundaries across three critical dimensions. First, supplier channel selection depends primarily on direct-selling cost parameters. When direct-selling costs are low, suppliers favor direct channels; as costs rise, e-commerce becomes the rational choice. Importantly, blockchain investment shifts these boundaries, expanding the viable range for direct-selling structures within specific cost windows. This suggests blockchain can improve direct-channel economics sufficiently to delay or prevent migration to e-commerce for certain cost profiles.
Second, retailer blockchain adoption depends on the alignment of three variables: trust gains from immutable product traceability, market size expansion from consumer confidence improvements, and absolute investment costs. The analysis indicates that e-commerce structures offer substantially larger feasible regions for blockchain investment than direct-selling models, implying retailers operating through e-commerce platforms have greater latitude to absorb blockchain costs and realize returns at varying demand elasticity levels. Adoption becomes most probable when demand improvements are substantial and investment costs remain moderate.
Third, blockchain operates as a dual-mechanism lever on supply chain economics. It generates demand improvement through transparency and credibility—strengthening consumer trust and reducing product loss—while simultaneously imposing cost constraints that affect profit allocation between channel participants. The interplay between these effects determines whether blockchain deployment enhances or degrades overall supply chain profitability. The research provides quantitative boundaries for practitioners evaluating channel architecture decisions and technology investment sequencing in fresh agricultural logistics, addressing a sector where information opacity traditionally amplifies resource waste and environmental burden.
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