International Journal of Economics, Management and Accounting
Vol. 3 No. 3 (2025): August

Optimizing Decision-Making in Higher Education Institutions through AI-Driven Business Intelligence in the Digital Era

Ary, Maxsi (Unknown)
Andriani, Rian (Unknown)
Fauzzia, Willma (Unknown)



Article Info

Publish Date
05 Aug 2025

Abstract

Digital transformation in higher education requires institutions to adopt intelligent technologies that support more accurate and data-driven decision-making. This study investigates the integration of Artificial Intelligence (AI) into Business Intelligence (BI) systems within Indonesian universities using the Technology Acceptance Model (TAM) as the theoretical framework. A mixed-methods approach was employed, involving surveys (n = 75) and interviews with academic leaders and information technology (IT) staff. The results show that AI-enhanced BI systems significantly improve decision-making effectiveness, particularly in academic planning and administrative efficiency. Regression analysis revealed that perceived usefulness and perceived ease of use explained 58% of the variance in decision effectiveness, while all variables combined (including management support and digital literacy) accounted for 69%. These findings validate the TAM in the context of AI-based decision systems in education. This study contributes both theoretically and practically by offering evidence-based recommendations for strengthening data-driven culture and institutional readiness for adopting intelligent information systems.

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Journal Info

Abbrev

IJEMA

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

International Journal of Economics, Management and Accounting (IJEMA) | ISSN (e): 2988-7615 publishes research articles related to Economics, Management and Finance. The research studies that are acceptable for publication in this journal are: Economics: development economics, applied economics, ...