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如何充分利用工资制度提高公司利润的留学论文范文指导 [5]

论文作者:www.51lunwen.org论文属性:短文 essay登出时间:2014-10-22编辑:felicia点击率:7758

论文字数:3521论文编号:org201409150026358537语种:英语 English地区:中国价格:免费论文

关键词:工资Salary工资管理系统management of salary市场竞争力

摘要:随着社会生活的发展,社会压力不断增大,人们渴望追求高薪,对于企业而言,工资制度是罪不容忽视的一块,否则不仅影响员工的积极性,还会影响企业整体的发展。本文以工资制度为基础,进行简要分析,为留学海外的留学生提供一篇范文指导。

-- The coefficient corresponding to independent variable


- Random error term, independent of each other, meet the zero-mean, etc. variance assumption


- The independent variables, in this paper, independent variables is employee salaries, training hours, age etc;


- The dependent variables, in this article, dependent variables is employee sale increase, ROE, ROA;


Panel Data can be divided into three categories: Individual impact of the constant coefficient model; varying coefficient models that contain individual impact; Varying intercept models that contain individual impact. Panel Data model can not only test the differences between various firms on a point in time, but also give the differences of one firm at different time points. In short, the panel data model analyzes the correlation between the company's pay and company performance. Multicollinearity test is required before conducting inspection to avoid the impact of co-linearity on regression results.


4. Data Collection


4.1 Type of Data

Based on the data sources, the data can be divided into primary data and secondary data.


4.1.1 Primary data

Primary data refers to the data gathered through exploratory, descriptive or causal researches with the help of the methods of surveys, experiments, observation and piloting. (Hair et al 2000:39). Primary data is gathered specifically for the purpose of the research under consideration and discussion. In this research, employees’ opinions about salary, managers’ information on performance, the relation between salary and productivity and so on will all be collected as primary data.


4.1.2 Secondary data

Secondary data refers to the data which have existed or has already been collected for another purpose. The age, working hours and industry influence performance that have existed will be re-found as secondary data.


According to the form the data takes, data can be categorized into Qualitative data and Quantitative data.


4.1.3 Qualitative data

It presents data in the forms of words, chart, and graphs without numbers. The results will be shown in the form of numbers through the analysis of the relevant data by using the analysis methods.


4.1.4 Quantitative data

It presents data in numbers. Quantitative data is mainly based on the financial statements of an organization. The results will be shown in the form of numbers through the analysis of the relevant data by using the analysis methods. As for this research, I will find companies; financial statements; employment pay and so on which will be the Quantitative data.


4.2 Data analysis methods


4.2.1 Qualitative analysis method

As the database for these examinations, the novel sample ASSET4 for the years 2006 to 2011 of Thomson Reuters Data stream will be论文英语论文网提供整理,提供论文代写英语论文代写代写论文代写英语论文代写留学生论文代写英文论文留学生论文代写相关核心关键词搜索。

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