Measuring the relative performance for leading fabless firms by using data envelopment analysis

Journal of Intelligent Manufacturing

Volumn 19, Issue 3, 2008, Pages 257-272

  Chu, Mei Tai ^a   Shyu, Joesph Z ^b   Khosla, R ^a  

^a LA TROBE UNIVERSITY   (Australia)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Data envelopment analysis (DEA); IC design (fabless); Performance

Indexed keywords

DATA ENVELOPMENT ANALYSIS; DECISION MAKING; EARNINGS; MATHEMATICAL MODELS;

DECISION MANAGEMENT UNITS (DMU); IC DESIGN (FABLESS);

INTEGRATED CIRCUITS;

EID: 43949103051     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-008-0079-3     Document Type: Article

References (34)

1. Andersen P., Petersen N.C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science 39(10): 1261-1264
2. Banker R.D., Charnes A., Cooper W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30(9): 1078-1092
3. Brown M.G., Svenson R.A. (1998). Measuring R&D productivity. Research Technology Management 41(6): 30-35
4. Cavalluzzo K.S., Ittner C.D. (2004). Implementing performance measurement innovations: Evidence from government. Accounting, Organizations and Society 29(3-4): 243-267
5. Chang P.-L., Tsai C.-T. (2002). Finding the niche position-competition strategy of Taiwan's IC design industry. Technovation 22(2): 101-111
6. Charnes A., Clark T., Cooper W.W., Golany B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces. Annals of Operation Research 2(1): 95-112
7. Charnes A., Cooper W.W. (1984). The non-Archimedean CCR ratio for efficiency analysis:A rejoinder Boyd and Fare. European Journal of Operational Research 15: 333-334
8. Charnes A., Cooper W.W., Rhodes E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research 2: 429-444
9. Chen Y., Iqbal Ali A. (2002). Output-input ratio analysis and DEA frontier. European Journal of Operational Research 142(3) 1: 476-479
10. Chen Y., Morita H., Zhu J. (2003). Multiplier bounds in DEA via strong complementary slackness condition solution. International Journal of Production Economics 86(1): 11-19
11. Doyle J. (1992). MCC:Multiple correlation clustering. International Journal of Man-Machine Studies 37: 751-765
12. Doyle J., Green R. (1994). Efficiency and cross-efficiency in DEA:Derivations, meanings and uses. Journal of the Operational Research Society 45(5): 567-578
13. Everitt B. (1980). Cluster analysis (2nd ed). London, Halsted Press (Wiley)
14. Farrell M.J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, General 120(3): 253-281
15. Folan P., Browne J. (2005). A review of performance measurement: Towards performance management. Computers in Industry 56(7): 663-680
16. Golany B., Roll Y. (1989). An application procedure for DEA. OMEGA 17(3): 237-250
17. Hoque Z. (2004). A contingency model of the association between strategy, environmental uncertainty and performance measurement: Impact on organizational performance. International Business Review 13(4): 485-502
18. Hung S.-W., Yang C. (2003). The IC fabless industry in Taiwan: Current status and future challenges. Technology in Society 25(3): 385-402
19. Ittner C.D., Larcker D.F., Randall T. (2003). Performance implications of strategic performance measurement in financial services firms. Accounting, Organizations and Society 28(7-8): 715-741
20. Kleine A. (2004). A general model framework for DEA. Omega 32(1): 17-23
21. Lee E.S., Li R.J. (1993). Fuzzy multiple objective programming and compromise programming with pareto optimum. Fuzzy Sets and Systems 53(3): 275-288
22. Lewis H.F., Sexton T.R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computers and Operations Research 31(9): 1365-1410
23. Liu, L.-C., Lee, C., & Tzeng, G.-H. (2003a). DEA for evaluating the current-period and cross-period efficiency of Taiwan's upgraded technical institutes. In T. Tanino, T. Tanaka, & M. Inuiguchi (Eds.), Multi-objective programming and goal-programming: Theory and applications (pp. 353-360). Springer.
24. Liu, L.-C., Lee, C., & Tzeng, G.-H. (2003b). Using DEA of REM and EAM for efficiency assessment of technology institutes upgraded from junior colleges: The case in Taiwan. In T. Tanino, T. Tanaka, & M. Inuiguchi (Eds.) Multi-objective programming and goal- programming: Theory and applications (pp. 361-366). Springer.
25. Liu L.-C., Lee C., Tzeng G.-H. (2004). DEA approach of the current-period and cross-period efficiency for evaluating the vocational education. International Journal of Information Technology and Decision Making 3(2): 1-22
26. Ohta H., Yamaguchi T. (1995). Multi-goal programming including fractional goal in consideration of fuzzy solutions. Journal of Japan Society for Fuzzy Theory and System 7(6): 1221-1228
27. Opricovic, S., & Tzeng, G.-H. (2003). Comparing DEA and MCDM method. In T. Tanino, T. Tanaka, & M. Inuiguchi (Eds.), Multi-objective programming and goal-Programming: Theory and applications (pp. 227-232). Springer.
28. Poh K.L., Ang B.W., Bai F. (2001). A comparative analysis of R&D project evaluation. R&D Management 31(1): 63-74
29. Schmitz J., Platts K.W. (2004). Supplier logistics performance measurement: Indications from a study in the automotive industry. International Journal of Production Economics 89(2): 231-243
30. Semiconductor Yearbook of 2003. International Technology Information Services. Industrial Technology Research Institute in Taiwan, pp. 52-61.
31. Shuai J.-J., Tzeng G.-H., Li H.-L. (2004). The multi-source fabless-foundry partnership selection model. International Journal of Manufacturing Technology and Management 6(1/2): 137-154
32. Tzeng G.-H., Feng G.-M., Kang C.-C. (2001). The fuzzy set theory and DEA model for forecasting production efficiency: Case study for Taipei city bus company. Journal of Advance Computational Intelligences 5(3): 128-138
33. Yu J.-R., Tzeng Y.-C., Tzeng G.-H., Yu T.Y., Sheu H.J. (2004). Fuzzy multiple objective programming approach to DEA with imprecise data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(5): 591-600
34. Zimmermann H.J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems 1(1): 45-55