Digital Transformation Bias–Risk Dataset (Italian Manufacturing, N=348)

This dataset supports a study on how cognitive biases influence risk perception, decision quality, and project outcomes in digital transformation (DT) initiatives. Based on survey responses from 348 senior managers in Italian manufacturing firms, the research employs structural equation modelling (SEM) to examine optimism, anchoring, overconfidence, and sunk cost biases. The dataset includes anonymised responses to a 21-item questionnaire measuring cognitive biases, risk perception, decision quality, and performance indicators. It enables replication of mediation analyses and contributes to behavioural risk theory and DT governance practices.