The thesis is to examine the relationship of the employees¡¦ salary satisfaction, job involvement and turnover intention in the internet industry to know whether the degree of salary satisfaction and job involvement will affect the turnover intention of employees or not. It also examines whether the employees have different salary satisfaction for the future and how this will affect their turnover intention. The result provide the managers of the industry to draw up appropriate salary management strategy to lift the salary satisfaction and job involvement, lower the turnover intention effectively and make the companies more competitive. Considering of the time, manpower and resources, the thesis take ten Internet companies as the samples. Effective questionnaires sent back are 108 and the effective rate is 12.9¢M. By using the statistic methods, the findings of this research indicate that: 1. The sex of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the current¡¨. 2. The sex of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 3. The sex of the employees in the Internet industry has significant difference on ¡§job involvement¡¨. 4. The sex of the employees in the Internet industry has significant difference on ¡§turnover intention¡¨ 5. Female employees of the Internet industry have obviously higher ¡§turnover intention¡¨ than male employees. 6. The age of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 7. The marriage status of the employees in the Internet industry has significant difference on ¡§job involvement¡¨. 8. The current service length of the employees in the Internet industry has significant difference on ¡§turnover intention¡¨. 9. For the employees of the Internet industry, to appear significant negative correlations between ¡§current service length¡¨ and ¡§turnover intention¡¨. 10. The working service length of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the current¡¨. 11. The working service length of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 12. The working service length of the employees in the Internet industry has significant difference on ¡§job involvement¡¨. 13. For the employees of the Internet industry, to appear significant positive correlations between ¡§working service length¡¨ and ¡§salary satisfaction for the current¡¨. 14. For the employees of the Internet industry, to appear significant positive correlations between ¡§working service length¡¨ and ¡§salary satisfaction for the future¡¨. 15. The department of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 16. The department of the employees in the Internet industry has significant difference on ¡§job involvement¡¨. 17. The department of the employees in the Internet industry has significant difference on ¡§turnover intention¡¨. 18. The grade of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 19. The monthly salary of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the current¡¨. 20. The monthly salary of the employees in the Internet industry has significant difference on ¡§salary satisfaction for the future¡¨. 21. The monthly salary of the employees in the Internet industry has significant difference on ¡§job involvement¡¨. 22. For the employees of the Internet industry, to appear significant positive correlations between ¡§monthly salary¡¨ and ¡§salary satisfaction for the current¡¨. 23. For the employees of the Internet industry, to appear significant positive correlations between ¡§monthly salary¡¨ and ¡§salary satisfaction for the future¡¨. 24. For the employees of the Internet industry, to appear significant positive correlations between ¡§monthly salary¡¨ and ¡§job involvement¡¨. 25. For the employees of the Internet industry, to appear significant negative correlations between ¡§salary satisfaction¡¨ and ¡§turnover intention¡¨. 26. For employee of in the Internet industry, to appear significant positive correlations between ¡§salary satisfaction ¡§ and ¡§job involvement ¡§. 27. For employee of the Internet industry, to appear high positive correlations between ¡§salary satisfaction for the current ¡§ and ¡§salary satisfaction for the future¡§. 28. For employee of the Internet industry, to appear significant negative correlations between ¡§salary satisfaction for the current¡¨ and ¡§turnover intention ¡§. 29. For employee of the Internet industry, to appear significant negative correlations between ¡§salary satisfaction for the future¡¨ and ¡§ turnover intention ¡§. 30. For employee of the Internet industry, to appear significant positive correlations between ¡§salary satisfaction for the current¡¨ and ¡§ job involvement ¡¨ 31. For employee of the Internet industry, to appear significant positive correlations between ¡§salary satisfaction for the future¡¨ and ¡§ job involvement ¡¨. 32. The ¡§working service length¡¨ has significant positive forecast ability on job involvement. 33. The ¡§sex¡¨ has significant negative forecast ability on job involvement. 34. ¡§The salary satisfaction for the future¡¨ has significant positive forecast ability on job involvement. 35. The ¡§sales department¡¨ has significant positive forecast ability on job involvement. 36. The ¡§marital status¡¨ has significant positive forecast ability on job involvement. 37. The ¡§sex¡¨ has significant negative forecast ability on turnover intention. 38. The ¡§planning department¡¨ has significant positive forecast ability on turnover intention. 39. The ¡§current salary satisfaction¡¨ has significant positive forecast ability on turnover intention. 40. The ¡§marketing department¡¨ has significant positive forecast ability on turnover intention. According to the above result, I can discover the turnover intention of the employees of the Internet industry is getting higher. The employees are confident of their turnover ability, which will induce company loss. Thus I suggest that Internet companies shall combine the fiction with the substantiation to form a new type of enterprise. Furthermore, the result that the female employees have higher turnover intention but higher job involvement is worthy for proprietor of the Internet industry to pay attention to. Because the characteristics of female employees are helpful to the busy Internet working environment, the proprietor or professional managers shall consider to adjust or change the working environment, job content or management system to let female employees fully contribute their talent, lower their turnover intention and benefit the company.