Closely combined with the frontier of the discipline: the topic selection should reflect the latest research trends and trends of big data and accounting, and pay attention to the frontier issues such as the application of big data technology in the accounting field, the mining and analysis of accounting data, the disclosure of accounting information and privacy protection.
Highlight the practical application value: the topic should have practical application value. According to the accounting practice of enterprises, governments and other institutions, we can explore how to use big data technology to improve accounting efficiency, optimize accounting decisions and strengthen risk management.
Closely combine personal interests and research foundation: when choosing a topic, we should fully consider personal interests and research foundation, and choose areas that we are familiar with and interested in to conduct in-depth research, which will help to maintain research motivation and achieve better research results.
The following are some specific suggestions on the topic selection of big data and accounting papers:
Changes and challenges of accounting information disclosure in the era of big data
Research on Accounting Fraud Identification and Prevention Based on Big Data
Application and Effect Evaluation of Big Data Technology in Enterprise Financial Management
Innovation and Development of Accounting Audit under the Background of Big Data
Challenges and countermeasures of accounting professional ethics in the era of big data
Research on Quality Evaluation and Optimization of Internal Control Based on Big Data
The Application of Big Data in Financial Reporting and Its Influence
Business innovation and development of accounting firms in the era of big data
Application of Big Data in Management Accounting and Its Influence on Enterprise Decision-making
Research on Early Warning and Prevention of Enterprise Financial Risk Based on Big Data
The above topics are for reference only, and the specific topics need to be selected and adjusted according to personal interests and research basis.