Research on the Optimization of Qualification Review Positions in the Context of Digital Transformation: A Case Study of the Songyuan Base

Abstract

The accounting industry is a key support for economic activities, and its booming development has placed higher demands on the qualification review positions for accounting exam registration. This position bears the important responsibility of screening professional talents and maintaining industry access thresholds; its work quality directly impacts the fairness of examinations and the overall quality of the industry. Taking the review position at the Songyuan Base as a case study, this research conducts an investigation through participatory observation and internal document analysis. The researcher conducted on-site observations of the position's workflow and the fulfillment of duties, and collected and analyzed relevant policy documents and work records. The study finds that this position faces three core problems: Imbalanced personnel structure: The configuration is characterized by part-time and non-specialized staffing, with a lack of young full-time talents and insufficient professional capabilities among part-time personnel. Insufficient digital adaptation: Older full-time staff have weak digital skills, and the existing training forms are singular with poor results. Limitations in system functions: There is a lack of statistics on returned/rejected applications and a function to check review progress, which affects work efficiency and service transparency. Addressing the above problems, this study proposes countermeasures from three aspects: human resource optimization, reshaping the training system, and the dual-wheel drive of performance and systems. The research results provide a vivid case for the digital transformation of public service positions, analyze the common issues of qualification review posts, and the proposed suggestions have direct practical value for relevant institutions to improve management efficiency and optimize service quality.