Apart from external stakeholders such as shareholders, creditors, and governments, employees' interests deserve appropriate protection from companies as they constitute the true force that creates corporate value. To enhance a company's competitiveness in the product market, the foremost task is to improve employee satisfaction. Only with higher satisfaction and stronger well-being can employees maintain more intense work motivation.
The employee review system was pioneered by major internet companies. Its establishment aims to help netizens quickly understand a company's efforts in protecting employees' interests when making career choices, thereby assisting job seekers in finding the best employers. Furthermore, employee reviews of their employers provide valuable references for other members of society, such as industry peers, media, and regulatory authorities, to assess companies.
CnOpenData offers Glassdoor employee review data for U.S. companies, structured into two tables: Basic Information Table and Employee Review Table. These tables encompass companies' basic information and employees' evaluations of their employers — including satisfaction with jobs, companies, and the work environment — along with various metrics such as compensation and benefits, cultural values, corporate outlook, and recommendations to other job seekers.
Database Application Guide
CnOpenData Glassdoor U.S. Employee Review Data Application Logic: https://mp.weixin.qq.com/s/fwcg94BwS9Xinr6hKajh-Q
Time Period
2008-2025.07.20
Data Scale
Field Display
Sample Data
U.S. Company Employee Review Table
U.S. Company Interviewee Review Table
Related Literature
- Cao Y., S. Cheng, J. W. Tucker, and C. Wan, 2023, "Technological peer pressure and skill specificity of job postings", Contemporary Accounting Research, forthcoming.
- Kelly Huang, Meng Li, and Stanimir Markov, 2020, "What Do Employees Know? Evidence from a Social Media Platform", The Accounting Review.
- Dehaan E., N. Li, and F. S. Zhou, 2023, “Financial reporting and employee job search”, Journal of Accounting Research, 61(2): 571-617.
Data Update Frequency
Annual Update