Electric motorcycle adoption in Indonesia remains far below government targets despite purchase subsidies. This study explains how perceived information quality and personal flood impact shape prospective users' intention to adopt electric motorcycles in Bali after the 2025 floods. The model extends four UTAUT2 constructs with ownership cost anxiety, perceived information quality from the Information Systems Success Model, and perceived environmental threat from Protection Motivation Theory. We analyzed cross-sectional survey data from 298 motorcycle riders without an electric motorcycle across all nine regencies and cities of Bali using four-block hierarchical regression, simple slopes, and Johnson-Neyman analysis. The full model explained 54.4% of the variance in adoption intention. UTAUT2 constructs explained 38.2%, the cost and information block added 11.1%, and the flood context block added 4.2%, all of which were significant. Ownership cost anxiety (battery replacement and resale value concerns) was the main barrier, but its effect weakened as information quality increased and became non-significant above a score of 3.95 on a five-point scale, a level reached by only 20.5% of respondents. Perceived environmental threat was unrelated to intention among respondents untouched by the floods and grew stronger as personal flood impact increased. The study’s novelty is showing that information quality mainly buffers against cost anxiety, and that environmental threat drives adoption intention only among people who have experienced a disaster firsthand. Policymakers should pair subsidies with credible information on battery life, ownership cost, and resale value, and prioritize flood-affected communities in transition programs.
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