Beyond external stakeholders such as shareholders, creditors, and governments, companies should appropriately protect employees' interests, as employees serve as the essential contributors to value creation. To enhance a company's competitiveness in the product market, it is imperative to first improve employee satisfaction. Only with higher satisfaction and stronger well-being can employees maintain greater work enthusiasm.
Employee review systems originated from major internet companies. Their initial establishment aimed to enable job seekers to quickly understand a company's efforts in safeguarding employee rights, thereby assisting applicants in identifying the best employers. Additionally, employees' evaluations of their employers provide valuable references for other stakeholders, including industry peers, media, and regulatory bodies, when assessing corporate performance.
The Glassdoor Global Company Employee Review Data launched by CnOpenData comprises two tables: Basic Information Sheet and Employee Review Sheet. These tables encompass fundamental company details and employees' assessments of their employers (including satisfaction with work, company culture, and environment), as well as indicators such as compensation and benefits, cultural values, corporate outlook, and recommendation likelihood.
Database Application Guide
Application logic for CnOpenData Glassdoor Global Employee Review Data: https://mp.weixin.qq.com/s/4I-GmRwkCrT19Zfowe1xyg
Time Period
2008-2025.07.20
Data Scale
Field Display
Sample Data
Global Company Basic Information Sheet
Global Company Employee Review Sheet
Relevant 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 updates