A Tri-Sector Model for Market Emancipation: Bridging the Algorithmic Divide
2026/08/03 by Jagdish N. Sheth, Can Uslay, Mesut Cicek +2
Computer Science · Social Sciences · #AI in Service Interactions #Bridging (networking) #Civil society #Corporate governance #Digital Economy and Work Transformation #Digital divide #Dignity #Ethics and Social Impacts of AI #Inequality #Market failure #Representation (politics)
paper · doi:10.1177/02761467261473838
published in Journal of Macromarketing (SAGE Publishing)
crossref issued 2026/08/03 · crossref published 2026/08/03 · crossref published-online 2026/08/03 · openalex publication_date 2026/08/03 · crossref created 2026/08/03 · openalex created_date 2026/08/04 · openalex updated_date 2026/08/04 · crossref deposited 2026/08/05 · crossref indexed 2026/08/05
Abstract
The rapid dissemination of Artificial Intelligence (AI) across global markets presents a complex paradox for macromarketing: while AI has the potential to expand market access and efficiency, it may also reinforce inequality through algorithmic bias, data asymmetries, and digital exclusion. This article proposes that a tri-sector governance model integrating the capabilities of private sector, government, and civil society can help govern AI-mediated marketing systems in ways that safeguard consumer agency, reduce vulnerability, and promote social welfare. By moving beyond a purely market-driven approach, the tri-sector model delineates how Corporate Digital Responsibility (CDR), proactive public policy, and social advocacy can co-create a post-human landscape that prioritizes human dignity and addresses wicked problems. The study concludes that market emancipation in the age of AI will not be a default outcome of technological progress and must be a deliberate achievement of tri-sector alignment. A key recommendation is that the governance of AI must include representation from all three sectors, and ultimately, as the technology approaches super-intelligence, representation of AI.
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