Technology Adoption and Network Externalities in Financial Systems: A Spatial-Network Approach
Tatsuru Kikuchi

TL;DR
This paper introduces a comprehensive spatial-network framework to analyze technology adoption in financial systems, capturing externalities, spillovers, and cascade effects, with empirical validation on SWIFT gpi adoption among major banks.
Contribution
It develops a novel analytical model incorporating stochastic adoption dynamics and applies it to real-world financial network data, revealing key factors influencing adoption timing and cascade potential.
Findings
Network-central banks adopt earlier.
Pre-threshold adopters have higher amplification factors.
Founding members significantly contribute to cascade dynamics.
Abstract
This paper develops a unified framework for analyzing technology adoption in financial networks that incorporates spatial spillovers, network externalities, and their interaction. The framework characterizes adoption dynamics through a master equation whose solution admits a Feynman-Kac representation as expected cumulative adoption pressure along stochastic paths through spatial-network space. From this representation, I derive the Adoption Amplification Factor -- a structural measure of technology leadership that captures the ratio of total system-wide adoption to initial adoption following a localized shock. A Levy jump-diffusion extension with state-dependent jump intensity captures critical mass dynamics: below threshold, adoption evolves through gradual diffusion; above threshold, cascade dynamics accelerate adoption through discrete jumps. Applying the framework to SWIFT gpi…
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Taxonomy
TopicsInnovation Diffusion and Forecasting · Digital Platforms and Economics · Capital Investment and Risk Analysis
