The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index
Abstract
Composite indicators are regularly used for benchmarking countries performance, but equally often stir controversies about the unavoidable subjectivity that is connected with their construction. Data Envelopment Analysis helps to overcome some key limitations, viz., the undesirable dependence of final results from the preliminary normalization of sub-indicators, and, more cogently, from the subjective nature of the weights used for aggregating. Still, subjective decisions remain, and such modelling uncertainty propagates onto countries composite indicator values and relative rankings. Uncertainty and sensitivity analysis are therefore needed to assess robustness of final results and to analyze how much each individual source of uncertainty contributes to the output variance. The current paper reports on these issues, using the Technology Achievement Index as an illustration.
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Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019) · Social Indicators Research · doi:10.1007/s11205-017-1832-9 · Cited by 1,325
“Due to the desirable properties of the endogenously calculated differential weighting, applications in the literature follow suit (e.g. Takamura and Tone 2003; Despotis 2005a; Murias et al. 2006; Zhou et al. 2007; Cherchye et al. 2008; Hermans et al. 2008; Antonio and Martin 2012; Gaaloul and Khalfallah 2014; Martin e…”
BackgroundWeights in Multidimensional Indices of Wellbeing: An Overview
Decancq, K., & Lugo, M. A. (2013) · Econometric Reviews · doi:10.1080/07474938.2012.690641 · Cited by 850
Review and new evidence on composite innovation indicators for evaluating national performance
Grupp, H., & Schubert, T. (2010) · Research Policy · doi:10.1016/j.respol.2009.10.002 · Cited by 256
Zhou, P., Ang, B. W., & Zhou, D. Q. (2010) · Social Indicators Research · doi:10.1007/s11205-009-9472-3 · Cited by 240
Should you believe in the Shanghai ranking?: An MCDM view
Billaut, J.-C., Bouyssou, D., & Vincke, P. (2010) · Scientometrics · doi:10.1007/s11192-009-0115-x · Cited by 219
Metadata
- Authors
- Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., Saisana, M., Saltelli, A., Liska, R., & Tarantola, S.
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 2008-02
- Volume
- 59
- Issue
- 2
- Pages
- 239-251
- ISSN
- 0160-5682
- 1476-9360
- OpenAlex
- W3125604211
- Cited by
- 322
- References
- 41
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., Saisana, M., Saltelli, A., Liska, R., & Tarantola, S. (2008). Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index. Journal of the Operational Research Society. https://doi.org/10.1057/palgrave.jors.2602445
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