지역SW성장지원 사업의 효율성 및 성과 분석Efficiency and Performance Analysis of Regional SW Growth Supporting Projects
- Other Titles
- Efficiency and Performance Analysis of Regional SW Growth Supporting Projects
- Authors
- 김대철; 주형준; 김승철
- Issue Date
- Sep-2015
- Publisher
- 한국생산성학회
- Keywords
- Efficiency; Customer Satisfaction; DEA; Regional SW Growth Supporting Projects
- Citation
- 생산성논집, v.29, no.3, pp.233 - 254
- Indexed
- KCI
- Journal Title
- 생산성논집
- Volume
- 29
- Number
- 3
- Start Page
- 233
- End Page
- 254
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156377
- DOI
- 10.15843/kpapr.29.3.201509.233
- ISSN
- 1225-3553
- Abstract
- This study analyzes the efficiency and performance of software growth supporting projects conducted in 18 regions by utilizing data envelopment analysis(DEA). In addition, relationships among the satisfaction of firms performed the projects toward the regional software growth supporting centers, revenue increases, number of new employees, and the efficiencies of projects of 18 regions are studied with the size of revenue as a moderating variable. The effects of a competition environment on the efficiencies of the projects, the rates of revenue growth rate, and number of newly hired employees are also addressed. For the study, input based DEA models are used to reflect the characteristics of public sector. To analyze the DEA models, we used data which were collected by the Korea Regional SW Industry Promotion Council in 2013 and the results of the Regional SW Growth Supporting Projects performed at the 18 regions in 2012. From the CCR DEA model, we found that only the projects performed at Youngin is shown to be efficient. The overall efficiency of 18 regions’ projects is as low as 35%.
The result of the BCC DEA model addresses that the projects conducted at four regions(Gangwon, Anyang, Yongin, Jeju) are efficient. The average efficiency of projects of 18 regions are about 72.5%. From the scale efficiency perspective, projects of Youngin are found to be the most efficient and Taegu’s is the worst. In particular, Taugu’s inefficiency results from the technical inefficiency. Furthermore, the higher the efficiency of the projects is, the larger the degree of the satisfaction towards agencies, the speed of revenue increasement, and the number of newly hired employees are in accordance with the size of revenue. It is also found that the more competitive environment there is, the higher efficiencies the regional software growth supporting projects result in. However, severe competition among SW/IT companies decreases the rate of revenue increasement and the number of newly hired employees.
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