This study aims to design and develop a model of the drivers and consequences of blockchain adoption in the accounting of financial institutions. Following a pragmatism paradigm, the research employs an inductive-deductive approach with an exploratory mixed-methods design (qualitative-quantitative). It is an applied-developmental study and a non-experimental (descriptive) cross-sectional survey.

In the qualitative phase, the population included senior managers and expert accountants in financial institutions, selected through purposive sampling. Semi-structured interviews were conducted with 12 participants until theoretical saturation was reached. In the quantitative phase, 120 financial managers and experts were chosen via simple random sampling, considering effect size and statistical power. Data were collected through expert interviews and a researcher-developed questionnaire. Thematic analysis in MaxQDA was used for qualitative data, while PLS-SEM in Smart PLS analyzed quantitative data.

Findings reveal that compliance with tax principles, financial regulations, and technological infrastructure impacts financial information management using blockchain and the training of audit teams. These factors drive blockchain adoption, enhancing transparency, traceability, and data security in financial reporting. Ultimately, blockchain implementation reduces accounting costs and improves financial reporting processes, fostering a transformative shift in financial information management within financial institutions.