Business intelligence, management control systems and startup performance: Empirical study from Indonesia

Abstract

This study aimed to examine the relationship between business intelligence and management control systems and how they impact company performance. It used 209 startup companies recorded in the database of the Ministry of Tourism and Creative Economy Republic of Indonesia. The sample consists of startups less than ten years old and experiencing a period of growth. The partial least squares SEM (PLS-SEM) is used to estimate cause-effect relationship models. The finding shows that the management control system positively contributes to the company's performance. The moderation analysis concludes that business intelligence is not able to moderate the relationship between management control systems and company performance. This finding supports the contingency theory, which claims the need to evaluate conditional factors in creating effective management control. Also, the theory emphasizes the alignment between management control and company performance to support performance improvement. This research provides practical implications for startups about the importance of creating a more contextual management control system to improve company performance.