DEA and ranking with the network-based approach: A case of R&D performance

Omega

Volumn 38, Issue 6, 2010, Pages 453-464

  Liu, John S ^a   Lu, Wen Min ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL DEFENSE UNIVERSITY   (Taiwan)

Author keywords

Data envelopment analysis; Network centrality; R D performance; Social network analysis

Indexed keywords

DECISION MAKING; SOCIAL NETWORKING (ONLINE);

DECISIONS MAKINGS; DEVELOPMENT PERFORMANCE; NETWORK CENTRALITIES; NETWORK-BASED APPROACH; NOVEL METHODS; RESEARCH AND DEVELOPMENT; RESEARCH INSTITUTES; RESEARCH PERFORMANCE; RETURNS OF SCALE; SOCIAL NETWORK ANALYSIS;

DATA ENVELOPMENT ANALYSIS;

EID: 77952545673     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2009.12.002     Document Type: Article

References (50)

1. Charnes A., Cooper W.W., Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 1978, 2(6):429-444.
2. Banker R.D., Charnes A., Cooper W.W. Models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 1984, 30(9):1078-1092.
3. Angulo-Meza L., Lins M.P.E. Review of methods for increasing discrimination in data envelopment analysis. Annals of Operations Research 2002, 116(1-4):225-242.
4. Adler N., Friedman L., Sinuany-Stern Z. Review of ranking methods in the data envelopment analysis context. European Journal of Operational Research 2002, 140(2):249-265.
5. Lu W.M., Lo S.F. An interactive benchmark model ranking performers-application to financial holding companies. Mathematical and Computer Modeling 2009, 49(1-2):172-179.
6. Liu J.S., Yang C., Lu W.M., Chuang M. A network-based approach for increasing discrimination in data envelopment analysis. Journal of the Operational Research Society 2009, 60(11):1502-1510.
7. Tofallis C. Improving discernment in DEA using profiling. Omega, International Journal of Management Science 1996, 24(3):361-364.
8. Friedman L., Sinuany-Stern Z. Combining ranking scales and selecting variables in the DEA context: the case of industrial branches. Computers & Operations Research 1998, 25(9):781-791.
9. Serrano-Cinca C., Mar-Molinero C. Selecting DEA specifications and ranking units via PCA. Journal of the Operational Research Society 2004, 55(5):521-528.
10. Serrano-Cinca C., Fuertes-Callén Y., Mar-Molinero C. Measuring DEA efficiency in internet companies. Decision Support Systems 2005, 38(4):557-573.
11. Freeman L.C. The development of social network analysis. A study in the sociology of science 2004, Empirical Press, Vancouver.
12. Bonacich P. Technique for analyzing overlapping memberships. Sociological methodology 1927, Jossey-Bass, USA. H. Costner (Ed.).
13. Zhu J. Multi-factor performance measure model with an application to Fortune 500 companies. European Journal of Operational Research 2000, 123(1):105-124.
14. Demirbag M., Tatoglu E., Glaister K.W., Zaim S. Measuring strategic decision making efficiency in different country contexts: a comparison of British and Turkish firms. Omega, International Journal of Management Science 2010, 38(1-2):95-104.
15. Du J., Liang L., Chen Y., Bi G. DEA-based production planning. Omega, International Journal of Management Science 2010, 38(1-2):105-112.
16. Ramanathan R., Yunfeng J. Incorporating cost and environmental factors in quality function deployment using data envelopment analysis. Omega, International Journal of Management Science 2009, 37(3):711-723.
17. Garg K.C., Gupta B.M., Jamal T., Roy S., Kumar S. Assessment of impact of AICE funding on R&D and educational development. Scientometrics 2005, 65(2):151-160.
18. Eilat H., Golany B., Shtub A. R&D project evaluation: an integrated DEA and balanced scorecard approach. Omega, International Journal of Management Science 2008, 36(5):895-912.
19. Lee H.Y., Park Y.T. An international comparison of R&D efficiency: DEA approach. Asian Journal of Technology Innovation 2005, 13(2):207-222.
20. Wang E.C., Huang W. Relative efficiency of R&D activities: a cross-country study accounting for environmental factors in the DEA approach. Research Policy 2007, 36(2):260-273.
21. Sharma S., Thomas V.J. Inter-country R&D efficiency analysis: an application of data envelopment analysis. Scientometrics 2008, 76(3):483-501.
22. Johnes G., Johnes J. Measuring the research performance of UK economics departments: an application of data envelopment analysis. Oxford Economic Papers 1993, 45(2):332-347.
23. Thursby J.G., Kemp S. Growth and productive efficiency of university intellectual property licensing. Research Policy 2002, 31(1):109-124.
24. Groot T., Carcia-Valderrama T. Research quality and efficiency: an analysis of assessments and management issues in Dutch economics and business research programs. Research Policy 2006, 35(9):1362-1376.
25. Abramo G., D'Angelo C.A., Pugini F. The measurement of Italian universities' research productivity by a non parametric-bibliometric methodology. Scientometrics 2008, 76(2):225-244.
26. Meng W., Hu Z., Liu W. Efficiency evaluation of basic research in China. Scientometrics 2006, 69(1):85-101.
27. Guan J., Wang J. Evaluation and interpretation of knowledge production efficiency. Scientometrics 2004, 59(1):131-155.
28. Wu W., Tsai H., Cheng K., Lai M. Assessment of intellectual capital management in Taiwanese IC design companies: using DEA and the Malmquist productivity index. R&D Management 2006, 36(5):531-545.
29. Linton J.D., Walsh S.T., Morabito J. Analysis, ranking and selection of R&D projects in a portfolio. R&D Management 2002, 32(2):139-148.
30. Linton J.D., Morabito J., Yeomans J.S. An extension to a DEA support system used for assessing R&D projects. R&D Management 2007, 37(1):29-36.
31. Farrell M.J. The measurement of production efficiency. Journal of the Royal Statistical Society 1957, A120(3):253-290.
32. Cooper W.W., Seiford L.M., Tone K. Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software 2007, Springer, New York. 2nd ed.
33. Zhu J. Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets 2009, Springer, New York. 2nd ed.
34. Avkiran N.K. Productivity analysis in the service sector with data envelopment 2006, NK Avkiran, Camira, Qld. 3rd ed.
35. Kerssens-van Drongelen I.C., Bilderbeek J. R&D performance measurement: more than choosing a set of metrics. R&D Management 1999, 29(1):35-46.
36. Godener A., Söderquist K.E. Use and impact of performance measurement results in R&D and NPD: an exploratory study. R&D Management 2004, 34(2):191-219.
37. Hsu C.W., Chiang H.C. The government strategy for the upgrading of industrial technology in Taiwan. Technovation 2001, 21(2):123-132.
38. Cordero R. The measurement of innovation performance in the firm: an overview. Research Policy 1990, 19(2):185-192.
39. Avkiran N.K. Modelling knowledge production performance of research centres with a focus on triple bottom line benchmarking. International Journal of Business Performance Management 2006, 8(4):307-327.
40. Golany B., Roll Y. An application procedure for data envelopment analysis. Omega, International Journal of Management Science 1989, 17(3):237-250.
41. Batagelj V., Mrvar A. Pajek-program for large network analysis. Connections 1998, 21(2):47-57.
42. Torgersen A.M., Førsund F.R., Kittelsen S.A.C. Slack-adjusted efficiency measures and ranking of efficient units. Journal of Productivity Analysis 1996, 7(4):379-398.
43. Färe R., Grosskopf S. Network DEA. Socio-Economic Planning Sciences 2000, 34(1):35-49.
44. Tone K., Tsutsui M. Network DEA: a slacks-based measure approach. European Journal of Operational Research 2009, 197(1):243-252.
45. Chen Y., Zhu J. Measuring information technology's indirect impact on firm performance. Information Technology and Management 2004, 5(1-2):9-22.
46. Avkiran N.K. Opening the black box of efficiency analysis: an illustration with UAE banks. Omega, International Journal of Management Science 2009, 37(4):930-941.
47. Tone K., Tsutsui M. Dynamic DEA: a slacks-based measure approach. Omega, International Journal of Management Science 2010, 38(3-4):145-156.
48. Edirisinghe N.C.P., Zhang X. Generalized DEA model of fundamental analysis and its application to portfolio optimization. Journal of Banking & Finance 2007, 31(11):3311-3335.
49. Avkiran NK, Hiroshi M. Predicting bank stock performance with fundamental relative analysis: simultaneous multi-dimensional benchmarking as an investment tool. In: 21st Australasian finance and banking conference 2008 Paper, November 12, 2008. Available at SSRN: http://ssrn.com/abstract=1210222.
50. Andersen P., Petersen N.C. A procedure for ranking efficient units in data envelopment analysis. Management Science 1993, 39:1261-1264.