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http://dx.doi.org/10.14400/JDC.2019.17.7.027

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

Lee, Ki-Se (BK21 PLUS School of Business Administration Kyungpook National University)
Kang, Da-Yeon (BK21 PLUS School of Business Administration Kyungpook National University)
Publication Information
Journal of Digital Convergence / v.17, no.7, 2019 , pp. 27-34 More about this Journal
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.
Keywords
DEA; High-growth; IT Firms; Efficiency; Fourth Industrial Revolution; Efficiency;
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1 A. Charnes, W. W. Cooper & E. Rhodes. (1978). Measuring the efficiency of decision marking units. European Journal of operational Research, 2(3), 429-444.   DOI
2 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.
3 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.   DOI
4 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.   DOI
5 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.   DOI
6 http://www.stepi.re.kr/
7 www.kisvalue.com
8 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.
9 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.   DOI
10 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.   DOI
11 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.   DOI
12 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.   DOI
13 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.   DOI
14 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.
15 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.   DOI
16 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.   DOI
17 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.
18 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.   DOI
19 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.
20 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.
21 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.