THE TRANSFORMATIVE IMPACT OF BUSINESS INTELLIGENCE ON UNEMPLOYMENT INSURANCE: ENHANCING DECISION MAKING AND OPERATIONAL EFFICIENCY THROUGH A MIXED-METHODS APPROACH

Abstract

Background: The increasing complexity and demands of Unemployment Insurance (UI) systems necessitate innovative approaches to enhance Decision Making (DM) and Operational Efficiency (OE). Business Intelligence (BI) offers potential solutions by providing data-driven insights that can transform the administration of UI. This study examines the impact of BI on UI, focusing on DM as a mediator and OE as a moderator, within the framework of the Resource-Based View (RBV) theory.

Methods: A mixed-methods approach was employed, combining quantitative and qualitative data. Surveys were administered to UI professionals to collect quantitative data, which were analyzed using regression, mediation, and moderation techniques. Qualitative data were gathered through interviews and focused on a valuable approach. These qualitative methods allow us to explore participants' perspectives, experiences, and opinions in depth. into BI applications in UI operations.

Results: The findings indicate that BI significantly enhances DM capabilities, leading to improved administration of UI. DM was found to mediate the relationship between BI and UI effectiveness. Furthermore, OE was identified as a significant moderator, strengthening the positive impact of BI on UI outcomes

Conclusion: This study demonstrates that BI can be a strategic resource for public sector services, particularly in enhancing the performance of UI systems. By investing in BI tools and training, UI agencies can leverage data-driven DM to achieve greater efficiency. The approach enriches the analysis, providing a comprehensive view of BI's transformative impact. Future research should explore longitudinal effects and broader applications across different public service domains.