This study proposes the accurate labor inducement coefficient (employment inducement coefficient/hiring inducement coefficient) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. To rewrite the inter-industry table of Korea, some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table published by the Bank of Korea, the output of software industry includes not only the pure software related output but also the output of non-software section due to the misclassification of the industry. This causes the output to become bigger than the actual output of software industry. Therefore, if the inter-industry table is not modified, the labor inducement coefficient would be overestimated too much. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the labor inducement coefficient to be over or underestimated. This study tries to correct these problems to get the more accurate labor inducement coefficient of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association (KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The followings are the labor inducement coefficient obtained when the output is divided into the pure software section (package software, and IT service) and non-software section. As of 2011, the employment inducement coefficients of pure software section, package software section and IT service of Korea were 8.616, 13.998, and 7.773 respectively while the labor inducement coefficients of pure software section, package software section and IT service of Korea were 7.979, 13.332,
[1]
Chang-Ho Lee,et al.
A Study on Economic Effect of SW Industry through Reconstruction of Industry Classification
,
2012
.
[2]
Hyung-Nam Moon.
A Study on Establishing 'Social Media Committee' Based on the Social Trust
,
2012
.
[3]
Kyoo-Sung Noh.
A Study on the Analysis of Power of Job Creation of SW Industry
,
2012
.
[4]
Shin-Pyo Kim,et al.
An analysis of the Effects of Software Industry on the Local Economy
,
2011
.
[5]
Tae-Ung Kim,et al.
A Study on Promoting Senior Citizens' Use of e-Government Services as an Effective Means for Reducing Digital Divide
,
2010
.
[6]
Moon-Ju Kwon,et al.
Examination of the Determinants of SW Manpower' Turnover Intention : Testing the Mediating Role of Job Satisfaction
,
2010
.
[7]
Jeong-Seok Kim,et al.
A Study on the Influence of Service Quality and Product Quality of Package Software on User Satisfaction, Word-of-Mouth Intention and Reuse Intention
,
2009
.
[8]
Christian Jacquemin,et al.
A Survey of 3D Document Corpus Visualization
,
2009
.
[9]
Gyoo-Gun Lim,et al.
An Improvement of Software Company Reporting System of Korea through Empirical Survey
,
2006
.
[10]
Joong-Han Kim,et al.
A Study on the Compensation for the Change of Work in SI Project of SW Development
,
2005
.
[11]
Chia-Yon Chen,et al.
On the application of input-output analysis to energy issues
,
1990
.
[12]
Wassily Leontief,et al.
Structure of the World Economy: Outline of a Simple Input-Output Formulation
,
1974
.