Advisers

Kimberly Joyce B. Embile, LPT, MAT

Discipline

Accounting And Taxation

Abstract

This study examined the relationship between accounting software training and financial reporting accuracy at Upturn Business Solutions in Maysan, Valenzuela City. Anchored on Human Capital Theory and the Technology Acceptance Model (TAM), the research aimed to assess the level of accounting software training in terms of relevance, frequency, content and materials, delivery and methods, and trainer competence, as well as the level of financial reporting accuracy in terms of correctness, compliance, timeliness, completeness, and error detection. A quantitative descriptive–correlational research design was employed, involving thirty (30) purposively selected employees engaged in financial reporting functions. Data were collected using a validated survey questionnaire and analyzed through frequency, percentage, weighted mean, standard deviation, ranking, and Pearson correlation. Findings revealed that accounting software training was generally perceived as effective, particularly in relevance and trainer competence. Financial reporting accuracy was rated satisfactory, with high confidence in data correctness and compliance with accounting standards. However, completeness of supporting documentation and structured error-detection procedures were identified as areas needing improvement. The Pearson r analysis indicated a statistically significant but very weak positive relationship (r = 0.045, p = 0.05) between accounting software training and financial reporting accuracy. The study concludes that accounting software training has a statistically significant but very weak positive association with financial reporting accuracy, while operational challenges such as human data-entry errors and documentation gaps remain. Strengthening role-specific, hands-on training programs and implementing structured validation procedures are recommended to enhance reporting reliability and organizational performance.

Keywords

respondents’ demographic characteristics