A Complex Systems Approach to NEV Disruptive Innovation Diffusion: Co-Evolution Across Enterprise and Consumer Networks

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Authors: Ruguo Fan, Dingyi Liu, Liu Yang, Kang Du
Cited by: 0

Abstract

Consumer attitude uncertainty can hinder disruptive innovation (DI) diffusion in the new energy vehicle (NEV) market and weaken enterprises’ incentives to adopt new technologies. This study develops a dual-layer coupled network model linking consumer attitude dissemination and enterprise R&D strategy evolution under bounded observability. Our simulations show three main findings. First, stronger discouragement of counter-attitudinal dissemination markedly suppresses diffusion and lowers steady-state adoption. Second, diffusion strengthens when consumers weight public information more and firm messaging less, particularly under stronger policy support. Third, network structure shapes diffusion: stronger inter-enterprise connectivity increases adoption, and consumer topology and interaction breadth exert different effects under different network types. These results clarify how information environments, policy support, and cross-layer behavioral modulation jointly shape diffusion regimes.

Fields of Study & Subjects

Innovation Diffusion and Forecasting Electric Vehicles and Infrastructure Complex Network Analysis Techniques

Publication details

Journal / source
Systems
Volume
14
Issue
2
Pages
172–172
Publication date
4 February 2026
Language
EN