AI-Mediated Repairability and Sustainable Branding: A Framework for Credible CSR in Digital Ecosystems
By
Abrol, C. (2024)
Summary
This conceptual manuscript examines how sustainable branding and corporate social responsibility (CSR) are operationalized through digital infrastructures, specifically focusing on the right-to-repair (R2R) movement. It argues that repairability gains legitimacy as a credible CSR initiative only when embedded in practical repair infrastructures rather than merely communicated. The paper explores how AI mediates diagnostics and guided repair, introducing tensions around opacity and proprietary data dependencies. It develops a layered framework (access, intelligence, governance, community) and a commitment–openness typology with testable propositions for credible repairability-based sustainable branding. The analysis reveals that brand legitimacy strengthens when infrastructure layers align with responsibility claims and erodes when inconsistencies trigger public accusation dynamics.
Source
bskyAI-Mediated Repairability and Sustainable Branding: A Framework for Credible CSR in Digital Ecosystemsdoi.orgKey quotes
· 5 pulledRepairability attains legitimacy as a credible CSR initiative when embedded in infrastructures that facilitate practical repair, rather than advanced merely as a communicative assertion.
Artificial intelligence reconfigures this capability by mediating diagnostics and guided repair while introducing tensions around opacity and dependence on proprietary data infrastructures.
Brand legitimacy strengthens when access, intelligence, governance, and community layers align with responsibility claims and erodes when auditable inconsistencies trigger accusation dynamics in digital publics.
These same infrastructures redistribute accountability, introduce gatekeeping through software locks and parts pairing, and expose brands to public contestation.
Repairability claims must be substantiated by repair infrastructures capable of withstanding public verification.
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