Answers are grounded in this paper and cite their sources.
Observational analysis reveals increased bad debts in automotive credit sales, suggesting AIS improvements are needed.
General Background: Credit sales are a key strategy in the automotive industry to boost sales volume, yet they pose significant challenges in transaction recording and receivables management. Specific Background: PT. Aksara Motor Medan still relies on a semi-manual accounting information system (AIS) for credit sales, leading to delays in reporting and increased credit risk. Knowledge Gap: Few studies have comprehensively examined the link between semi-manual systems and the rise of bad debts in mid-sized automotive companies. Aims: This study aims to analyze the effectiveness of AIS in supporting accurate recording, reporting, and control of credit sales at PT. Aksara Motor Medan. Results: Findings show that the system is suboptimal, with delayed data updates, weak internal controls, and the absence of an automated reminder system for delinquent customers. Novelty: The study proposes the integration of AIS with a risk-based assessment model using the 5C approach and the COSO framework to strengthen control and risk management. Implications: Full digitalization, structured staff training, automated notifications, and data-driven credit evaluation are recommended to improve operational efficiency and minimize bad debt risks.Highlight : The system is semi-manual, causing reporting delays and credit risk. Arrears rose from 15% to 23.8% in six months. Full digitalization and 5C-based risk analysis are recommended.
No takes yet. Share an insight, caveat, or question.
Hayat et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: