Purpose – This study aims to identify and analyze operational risks in a startup company, specifically FitAcademy.id by Fitinline.com, in order to minimize business failure and improve decision-making and risk control. Design/methodology/approach – This research uses an Enterprise Risk Management (ERM) approach with a qualitative-descriptive method. Data were analyzed to identify operational risk events and classify them using a risk matrix into high, moderate, and low risk levels. Findings – The study identifies nine operational risk events. The most critical risk is delays in microlearning video production caused by external factors (clients). Risk mapping shows three levels: high, moderate, and low. High-level risks mainly relate to production delays, while moderate risks include work delays, system/application errors during client explanations, and internal production constraints such as talent and facility limitations. Originality/value – This study provides practical insights into operational risk management in a microlearning-based startup, highlighting the importance of controlling both internal and external risks to improve efficiency and profitability.
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