Acceptance and usage analysis dashboard and bi processed big data in the supervision task of the financial services sector: Study on the supervisory users of the financial services authority
Keywords:
Big Data, Dashboard, Business Intelligence, Financial Supervision, Financial Services AuthorityAbstract
This study examines the acceptance and use of big data-based dashboards and business intelligence (BI) tools in supporting financial sector supervision within Indonesia’s Financial Services Authority (OJK). Employing a quantitative approach grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), the research investigates users’ perceptions of usefulness, ease of use, behavioral intention, and social influence. Data were collected through questionnaires distributed to OJK supervisory personnel actively utilizing BI dashboards. The findings reveal that perceived usefulness and ease of use significantly influence the intention to use, which in turn positively affects actual usage. The study highlights the importance of training, user accessibility, and data quality enhancement in ensuring the effective implementation of big data-driven supervisory technologies at OJK.
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