Management accounting practices mediate the relationship between enterprise resource planning system and sustainability performance under moderating role of corporate governance

This study examined the effect of Enterprise Resource Planning (ERP) system factors on the performance of listed firms in Vietnam, which is intervened by Management Accounting Practices (MAPs). Besides, the study investigated the moderating role of corporate governance in the relationship between MAPs and firm performance. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the findings reveal that technical support has the strongest influence. Additionally, organizational strategy and user involvement are key drivers, emphasizing the importance of structured processes and stakeholder engagement in MAPs, which enhancing firm performance. The study also highlights the moderating role of corporate governance in strengthening the effect of MAPs on firm performance. Aligned with the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), the results suggest that well-integrated, ERP-driven MAPs contribute to a sustained competitive advantage and improved firm performance.

Methods
This study employs a quantitative research approach utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the research question. Data processing is conducted using SmartPLS software following a structured analytical procedure, including descriptive analysis, factor loading and convergent validity assessment, reliability testing of scales, discriminant validity evaluation, and multicollinearity assessment. Additionally, model fit is assessed using R2 or adjusted R2 values.

The recruitment of participants for this study took place from November 2024 to January 2025. A convenience sampling technique was used, where participants were invited to complete the questionnaire based on their availability during class hours. All participants were informed about the study’s academic purpose, the confidentiality of their responses, and their right to withdraw at any stage without any repercussions. Verbal consent was obtained from all participants before they took part in the study. This consent process was witnessed by the research team and documented through a record of participation. Since the study did not involve minors, parental or guardian consent was not required. No personally identifiable information was collected, and all responses were anonymized and aggregated for analysis. This study adheres to strict ethical standards to ensure participant confidentiality and privacy. The collected data is solely used for academic purposes, and the findings are presented in a manner that safeguards the anonymity of all participants.

Besides, the f-square (f2) statistic in SmartPLS is a key effect size measure that assesses the impact of an independent variable on a dependent variable in a partial least squares structural equation modeling (PLS-SEM) framework. It helps determine whether an exogenous construct has a substantive impact on the endogenous construct. According to (Cohen, 2013), the effect size values are interpreted as follows: Small effect: if f2 ≥ 0.02; Medium effect: if f2 ≥ 0.15; Large effect: if f2 ≥ 0.35.