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An Analysis of the Relative Efficiency for the National University Libraries using DEA Model

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2009, v.40 no.1, pp.253-274
https://doi.org/10.16981/kliss.40.1.200903.253




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Abstract

Data Envelopment Analysis(DEA) model is a linear programing based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other units. The purpose of this study was to evaluate the performance of the libraries of national university in terms of relative efficiency, measured by the method of DEA. Twenty six libraries of national universities in Korea were used to analyze. The number of employees, size of library, budget, and number of books were used for input data, and the number of visitors, number of loan books, and number of books for lending and borrowing were used for output data. We found out that number of libraries with 100% relative efficiency among 26 libraries from 2005 to 2007 were only 9, 9 and 10, respectively. Moreover most of the libraries need to increase outputs and decrease inputs in order to improve efficiency.

keywords
국립대학 도서관 평가, 기술효율성, 순기술효율성, 규모효율성, Evaluation of National University Libraries, Technical Efficiency, Pure Technical efficiency, Efficiency of Scale

Reference

1.

Drucker, F. Peter. Management: Tasks, Responsibilities, Practices(Harper & Row, 1974), p.45.

2.

Fare, R. and S. Grosskoft, “Measuring Productivity: A Comment," International Journal of Operations & Production Management, Vol.14, No.9(1994), pp.83-88.

3.

Koopmans, T. C, “An Analysis of Production as an Efficient Combination of Activities,” in Activity Analysis of Production and Allocation(T. C. Koopmans, Ed., 1951), pp.33-97.

4.

Debreu, G, “The Coefficient of Resource Utilization,” Econometrica, Vol.19(1951), pp.273-292.

5.

Farrell, M. J, “The Measurement of Productive Efficiency," Journal of the Royal Statistical Society, Vol.120, No.3(1957), pp.253-281.

6.

손승태, DEA방법에 의한 은행의 경영효율성 측정에 관한 연구(석사학위논문, 서강대학교 대학원 경영학과, 1993).

7.

Charnes, A., W. W. Copper and E. Rhodes, “Measuring Efficiency of Decision Making Units,” European Journal of Operational Research, Vol.2(1978), pp.429-444.

8.

Charnes, A. and W. W. Cooper, “An Explicit General Solution in Linear Fractional Programming,” Naval Research Logistics Quarterly, Vol.20, No.3(1973), pp.273-296.

9.

Banker, R. D., A. Charnes and W. W. Cooper, “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, Vol.30, No.9(1984), pp.1078-1092.

10.

곽영진, “DEA를 이용한 대학도서관의 효율성추세분석,” 경영논총(충남대학교), 제9권, 제1호(1993), pp.183-206.

11.

한두완, 홍봉영, “DEA를 이용한 도서관의 효율성 평가,” 한국문헌정보학회지, 제36권, 제3호(2002), pp.275-286.

12.

Vitaliano, Donald F, “X-Inefficiency in the Public Sector: The Case of Libraries," Public Finance Review, Vol.25, No.6(1997), pp.629-643.

13.

Chen T. Y, “A Measurement of the Resource Utilization Efficiency of University Libraries,” International Journal of Production Economics, Vol.53, No.1(1997), pp.71-80.

14.

Hammond, Christopher J, “Efficiency in the Provision of Public Service: A Data Envelopment Analysis,” Applied Economics, Vol.34, No.5(2002), pp.649-657.

15.

국립대학도서관협의회, 국립대학도서관보, 제24권-제26권(2005-2007).

16.

최문경, “DEA를 이용한 금융기간의 다기간 효율성 분석,” 서해경제연구, 제5권(2000), pp.119-142.,

17.

민재형, 김진한, “한국 생명보험산업의 효율성 평가와 비효율성 원인의 규명,” 경영학연구, 제29권, 제1호(2000), pp.325-331.,

18.

송구선, “DEA에 의한 우리나라 일반은행의 경영효율성 평가,” 경영과학연구, 제1집(1992), pp.117-142.

Journal of Korean Library and Information Science Society