决定白领薪酬管理多少的重要因素（Determine the number of white-collar remuneration management important factors）.doc

决定白领薪酬管理多少的重要因素（Determine the number of white-collar remuneration management important factors） ??? many foreign companies just entered the white-collar workers, one of the most important one is that everyone will get a copy of the code of conduct for employees, which will have for example: please do not put their wages just leaked to others, also do not inquire about peoples salary. But salary is always the most sensitive topic among white-collar workers. A survey of salary satisfaction shows that white-collar workers are often not satisfied with the current salary level, and the average answer is generally not satisfied by more than 50%. Asking the boss for a raise or a threat of job hopping is one of the ways many white-collar workers use to raise their salaries. But what exactly does white-collar pay depend on? First, salary and experience are equal Whats more, with age and work experience, salary levels will increase. In a survey of white-collar pay, the average annual salary of workers who have worked for over 6 years is over 45 thousand yuan, two times that of people who work less than one year. From white-collar workers to the website, one of the pay survey shows that: the salary of qualified personnel is directly proportional to experience, more experience, more pay for working hours. Can be reflected in the following comparison (total salary for pre tax): Sales Supervisor, with 2 years of experience, the annual total salary of 32 thousand and 700 yuan, an average of 13 years of experience is 71 thousand and 800 yuan. Sales Manager, with 3 years of experience, the average annual salary of 13 thousand and 400 yuan, with 10 years of experience, the average is 31 thousand and 200 yuan. Sales representatives, with 2 years of experience, the average annual salary of 47 thousand yuan, with 6 years of experience, an average of 84 thousand yuan. ? two. Salary and age ??? according to a questionnaire survey of the National Bureau of statistics city social and econo