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A Study on the Management Efficiency Analysis of IT high-growth Corporation: Using DEA

고성장 IT기업에 대한 경영 효율성 분석: 자료포락분석(DEA) 기법을 중심으로

  • Lee, Ki-Se (BK21 PLUS School of Business Administration Kyungpook National University) ;
  • Kang, Da-Yeon (BK21 PLUS School of Business Administration Kyungpook National University)
  • 이기세 (경북대학교 경영학부 BK21플러스) ;
  • 강다연 (경북대학교 경영학부 BK21플러스)
  • Received : 2019.04.10
  • Accepted : 2019.07.20
  • Published : 2019.07.28

Abstract

The IT industry has made rapid development and also had an economic impact on other industries Also, since the fourth industrial revolution has begun in recent years ago, so The convergence between IT and other industries is increasing. Therefore, the development of the IT industry will enhance the international competitiveness It will also have a major impact on the nation's economic growth. Therefore, IT firms should be more efficient in their production. so This paper analyzes the efficiency of High-growth IT firms using DEA model. We evaluate the CCR, BBC efficiency and RTS(return to scale) of 12 IT firms. As a result, there were 6 companies with BCC efficiency 1 and 4 companies with 1 CCR efficiency. The scale of profitability was analyzed by IRS as 7 companies and CRS as 5 companies. We also suggest the IT firms which can be benchmarked based on analyzed information. It is expected to provide investors and external stakeholders with very useful information on managerial management efficiency.

최근 들어 4차 산업혁명의 도래로 인해 IT산업과 타 산업 간의 융복합화 현상이 증가되고 있어 향후 IT산업의 발전 여부는 국가의 경제력 제고는 물론 국가 경제 성장에도 큰 영향을 미칠 것으로 예상된다. 따라서 IT기업들이 경쟁우위를 차지하기 위해서는 무엇보다 운영상의 비효율성을 재정비하여 효율적인 생산 활동을 실시하여야 할 것이다. 이에 본 논문에서는 DEA 분석을 통해 국내 고성장 IT기업의 경영효율성을 분석하며 비효율적인 기업의 투사값을 제시하며 벤치마킹의 대상이 될 수 있는 기업들의 참조집합을 확인하고자 한다. 이를 위해 총 12개 고성장 IT기업을 대상으로 CCR와 BCC모형의 효율성과 규모수익성(RTS)을 분석하였다. 분석결과 BCC 효율성이 1인 기업은 총 6개, CCR효율성이 1인 기업은 총 4개 기업으로 나타났다. 그리고 규모수익성은 IRS가 7개 기업 CRS가 5개 기업으로 분석되었다. 이러한 결과를 통해 벤치마킹의 대상이 되는 기업들을 제시하였으며 또한 해당 기업의 투자자 및 외부이해관계자들에게 경영자의 경영효율성에 대한 매우 유용한 정보를 제공해 줄 것으로 기대된다. 그러나 본 연구에서는 자료의 한계로 인해 IT산업에서 기업의 성장에 중요한 영향을 미칠 수 있는 특허권 등과 같은 지적재산권이 포함하지 못하였다. 따라서 향후연구에서는 이러한 비재무적인 자료 확보를 통해 심층적인 경영자의 효율성 분석이 이루어 져야 할 것이다.

Keywords

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Fig. 1 BCC Efficiency Graph

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Fig. 2 CCR Efficiency Graph

Table 1. Variable Explanation

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Table 2. Descriptive Statistics of Input/Output Variable

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Table 3. Scale Efficiency and RTS

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Table 4. BCC Model Frequency in Reference Set

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Table 5. CCR Model Frequency in Reference Set

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Table 6. Projection CCR-I

DJTJBT_2019_v17n7_27_t0006.png 이미지

References

  1. J. Y. Heo, S. H. Yoo & S. J. Kwak. (2008). The Role of the IT Industry in the Korean National Economy : an Input-Output Analysis. Journal of Industrial Economics and Business, 21(2), 483-500.
  2. K. H. Kim, D. K. Won & W. D. Yeo. (2018). An Analysis of the Economic Effects of Unmanned Aerial Vehicle(UAV) Industry. Journal of Korea Content Association, 18(2), 216-230. https://doi.org/10.5392/JKCA.2018.18.02.216
  3. H. C. Kim. (2011). Study on the Export Competitiveness Analysis for Korean IT Industry: Focused on Korea, USA, Japan and China. The Journal of International Trade & Commerce, 7(1), 183-200. https://doi.org/10.16980/jitc.7.1.201103.183
  4. J. S. Yu & Y. K. Kim. (2017). An Analysis on the Comparative Advantage of Korea over China in IT industry. Journal of Korea Research Association of International Commerce, 17(3), 31-61. https://doi.org/10.29331/JKRAIC.2017.06.17.3.31
  5. J. I. Choe. (2017). A Study on the Centrality and Community Structure of International Trade Networks in IT Industry. The e-Business Studies, 18(6), 247-263. https://doi.org/10.20462/TeBS.2017.12.18.6.247
  6. K. H. Lee, C. M. Ahn & G. M. Park. (2008) Characteristics of the Convergence among Traditional Industries and IT Industry. Electronics and telecommunications trends, 23(2), 13-22.
  7. S. h. Lee, H. J. Jun. & T. S. Kim. (2018). A Study on Cyber Security Risk Management for Diffusion of Korean Smart Factories. The Journal of Korean Institute of Communications and Information Sciences, 43(10), 1741-1750. https://doi.org/10.7840/kics.2018.43.10.1741
  8. D. S Kim, C. S Ham, J. S Lee, M. S. Kim & N. H. Kim. (2018). A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis. Journal of Digital Convergence, 16(9), 229-237. https://doi.org/10.14400/JDC.2018.16.9.229
  9. J. G. Kim & E. h. Park. (2017) Relationship among Organization-Public Relationships, External Reputation and Job Satisfaction of Workers in Small and Medium-sized IT Enterprises. Journal of Digital Convergence, 15(9), 125-135. https://doi.org/10.14400/JDC.2017.15.9.125
  10. S. Thore, F. Phillips, T. W. Ruefli & P. Yue. (1996). DEA and the Management of the Product Cycle: the U.S. Computer Industry. Computers Ops Res, 23(4), 341-356. https://doi.org/10.1016/0305-0548(95)00043-7
  11. C. T. Chen & M. H. Lin. (2006). Using DEA to Evaluate R&D Performance in the Integrated Semiconductor Firms-Case Study of Taiwan. International Journal of The Computer, the Internet and Management, 14(3), 50-59.
  12. J. S. Hong, C. J. Yang & H. Y. Lee. (2012). Comparative Evaluation of Efficiency of the Korean IT Sectors : A Data Envelopment Analysis Approach. Journal of the Korea Management Engineers Society, 17(1), 147-160.
  13. H. J. Park, J. S. Ha, Y. J. Kang & W. J. Shim. (2017). A Study on the Analysis of Management Efficiency of the Korean Robotics Industry Using DEA-SBM : Focused on a Technology Innovation Factor. The Journal of Business and Economics, 33(2), 25-48.
  14. T. H. Hong, J. Y. Park & E. M. Kim. (2007). Using DEA-logit Approach to Evaluate Efficiency of IT Venture Business. The Journal of Internet Electronic Commerce Research. 7(3), 429-449.
  15. A. Charnes, W. W. Cooper & E. Rhodes. (1978). Measuring the efficiency of decision marking units. European Journal of operational Research, 2(3), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  16. R. D. Banker, A. Charnes & W. W. Cooper. (1984). Some Model for the Estimation of Technical and Scale Efficiencies in Data Envelopment. Analysis Management Science, 30(9), 1078-1092.
  17. Y. S. Park & S. H. So. (2017). The Effects of Certified Integrated-Logistics Company on Logistics Firm's Efficiency. Journal of Industrial Economics and Business, 30(3), 1145-1166. https://doi.org/10.22558/jieb.2017.6.30.3.1145
  18. Y. Chen. (2003). A Non-radial Malmquist Productivity Index with an Illustrative Application to Chinese Major, Industries. International Journal of Production Economics, 83(1), 27-35. https://doi.org/10.1016/S0925-5273(02)00267-0
  19. C. M. Park & T. S. Kim. (2014). A study of the Efficiency of Logistics Industry in Korean Using DEA-SBM. Korean Journal of Logistics, 22(4), 27-46. https://doi.org/10.15735/kls.2014.22.4.003
  20. http://www.stepi.re.kr/
  21. www.kisvalue.com