ABCD TECHNOLOGIES AND FINTECH-GOVTECH GOVERNANCE THROUGH AN EXTENDED HAWRYLYSHYN FRAMEWORK

Abstract

This study examines how the convergence of artificial intelligence, blockchain and distributed-ledger technologies, cloud computing, and advanced data analytics (ABCD technologies) transforms the architecture of the economic system and the relationship between FinTech, GovTech and societal effectiveness. By extending Bohdan Hawrylyshyn’s framework of societal order, this analysis demonstrates that ABCD technologies function as more than exogenous productivity enhancements; rather, they reconfigure the core institutional interactions among values, political governance, and economic systems. Their convergence changes the nature of productive factors, lowers transaction and information costs, modifies market structures, expands the role of data, and creates new forms of coordination between private financial institutions and public authorities. Particular attention is given to the emerging FinTech-GovTech architecture, in which the ABCD technologies expand the feasible set of economic and governance arrangements but do not determine their social outcomes. Their contribution to growth and welfare depends on institutional compatibility, regulatory capacity, human capital, and the ability of values and governance norms to adapt to technological acceleration. Where this alignment is absent, short-term efficiency gains come at the cost of explicit negative externalities - namely, market concentration, platform dependencies, excessive surveillance and centralization, algorithmic exclusion, systemic cyber-vulnerabilities, and declining public trust - all of which undermine long-term social and economic welfare. The study conceptualizes technological transformation through a modified trust-efficiency-equity trilemma. It concludes that long-run societal viability requires coordinated adaptation of the economic system, governance institutions, and normative foundations.