Simple, Productive and Friendly
HR and Payroll System for People
Power up your Human Resources
As an all-in-one Human Resource Management System (HRMS), Backstage helps you manage employee profile, payroll, MPF, tax filing, leave scheduling, timesheet, roster management, expense management, etc daily HR tasks. We also come with easy-to-use data download, upload and data analytics functions.
Backstage is flexible and provides customisation services to fit your use. You can handle human resources matters anywhere and anytime. Employess can inquire and manage their related matters through Employees Self Services(ESS).
Our system not only supports Hong Kong companies, it also supports use in mainland China, Macau, Taiwan, Singapore and other places.
Learn more about Backstage to strive for better HR management.
Performance management is a dynamic and ongoing process. Our Appraisal Function allows you to systematically define sets of competency, establish employees’ objectives, define rating scales and run regular monitoring and review. It gives you insights to make judgement on staff allocation, promotion and compensation adjustment.
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MPF Enrollment in Hong Kong,
Employees' Compensation Insurance,
Orientation,
Data Privacy Issue Related to Employment in Hong Kong,
etc...
終止勞動關係－解除,
與僱員訂立勞動合同,
員工產假,
支付離職僱員,
etc...
Appraisal / Performance Review
What are "SMART" Objectives for Performance Review?,
Behaviourally Anchored Rating Scale, BARS,
Benefits and Incentives of Performance Management,
360-Degree Feedback for Performance Management,
etc...
How to Work Out HR Budget for Next Year?
Normally we will rely on current-year actual amount (with decent increment) or add together requests from each departments. On the other hand, we can also rely on new business plan of coming year to calculate the required HR expense in an objective manner.
Open-sourced Employee Handbook
開源員工手冊即把將《員工手冊》公開提供給公司內外的人查閱和學習，不少大型的企業，如Basecamp都使用開源員工手冊，方便員工使用，促進企業發展。
Data Privacy of Employee Information in Big Data Era
Data Privacy of Employee Information in Big Data Era
What to Do in New Year?