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Original Articles

Incentivizing units in centralized systems: A slacks-based approach

, &
Pages 1724-1741 | Received 31 May 2020, Accepted 12 May 2021, Published online: 26 Jul 2021

References

  • Afsharian, M. (2019a). A frontier-based facility location problem with a centralised view of measuring the performance of the network. Journal of the Operational Research Society, 72(5), 1058–1074. https://doi.org/10.1080/01605682.2019.1639476
  • Afsharian, M. (2019b). A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations. Annals of Operations Research, 288(2), 620–681. https://doi.org/10.1007/s10479-019-03201-6
  • Afsharian, M., Ahn, H., & Thanassoulis, E. (2017). A DEA-based incentives system for centrally managed multi-unit organisations. European Journal of Operational Research, 259(2), 587–598. https://doi.org/10.1016/j.ejor.2016.10.040
  • Afsharian, M., Ahn, H., & Thanassoulis, E. (2019). A frontier-based system of incentives for units in organisations with varying degrees of decentralisation. European Journal of Operational Research, 275(1), 224–237. https://doi.org/10.1016/j.ejor.2018.11.036
  • Afsharian, M., & Bogetoft, P. (2020). Identifying production units with outstanding performance. European Journal of Operational Research, 287(3), 1191–1194. https://doi.org/10.1016/j.ejor.2020.04.027
  • Agrell, P. J., & Bogetoft, P. (2016). Endogenous common weights as a collusive instrument in frontier-based regulation. In J. Aparicio, C. A. Knox Lovell, & J. T. Pastor (Eds.), Advances in efficiency and productivity (pp. 181–194). Springer.
  • Agrell, P. J., Bogetoft, P., & Tind, J. (2005). DEA and dynamic yardstick competition in Scandinavian electricity distribution. Journal of Productivity Analysis, 23(2), 173–201. https://doi.org/10.1007/s11123-005-1327-6
  • Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264. https://doi.org/10.1287/mnsc.39.10.1261
  • Asmild, M., Paradi, J. C., & Pastor, J. T. (2009). Centralized resource allocation BCC models. Omega, 37(1), 40–49. https://doi.org/10.1016/j.omega.2006.07.006
  • Bogetoft, P. (1994). Incentive efficient production frontiers: An agency perspective on DEA. Management Science, 40(8), 959–968. https://doi.org/10.1287/mnsc.40.8.959
  • Bogetoft, P. (1997). DEA-based yardstick competition: The optimality of best practice regulation. Annals of Operations Research, 73, 277–298. https://doi.org/10.1023/A:1018985313272
  • Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3–4), 181–186. https://doi.org/10.1002/nav.3800090303
  • Charnes, A., Cooper, W. W., & Thrall, R. M. (1986). Classifying and characterizing efficiencies and inefficiencies in data development analysis. Operations Research Letters, 5(3), 105–110. https://doi.org/10.1016/0167-6377(86)90082-9
  • Dai, Q., Li, Y., Lei, X., & Wu, D. (2021). A DEA-based incentive approach for allocating common revenues or fixed costs. European Journal of Operational Research, 292(2), 675–686. https://doi.org/10.1016/j.ejor.2020.11.006
  • Davtalab Olyaie, M., Roshdi, I., Jahanshahloo, G., & Asgharian, M. (2014). Characterizing and finding full dimensional efficient facets in DEA: A variable returns to scale specification. Journal of the Operational Research Society, 65(9), 1453–1464. https://doi.org/10.1057/jors.2013.97
  • Davtalab-Olyaie, M., Roshdi, I., Partovi Nia, V., & Asgharian, M. (2015). On characterizing full dimensional weak facets in DEA with variable returns to scale technology. Optimization, 64(11), 2455–2476. https://doi.org/10.1080/02331934.2014.917305
  • Dehnokhalaji, A., Ghiyasi, M., & Korhonen, P. (2017). Resource allocation based on cost efficiency. Journal of the Operational Research Society, 68(10), 1279–1289. https://doi.org/10.1057/s41274-016-0020-7
  • Fang, L. (2013). A generalized DEA model for centralized resource allocation. European Journal of Operational Research, 228(2), 405–412. https://doi.org/10.1016/j.ejor.2013.01.049
  • Fang, L. (2016). Centralized resource allocation DEA models based on revenue efficiency under limited information. Journal of the Operational Research Society, 67(7), 945–952. https://doi.org/10.1057/jors.2015.117
  • Fang, L. (2020). An incentive approach based on data envelopment analysis for intra-organization yardstick competition. Journal of the Operational Research Society, 71(1), 153–160. https://doi.org/10.1080/01605682.2018.1527190
  • Fang, L., & Zhang, C. (2008). Resource allocation based on the DEA model. Journal of the Operational Research Society, 59(8), 1136–1141. https://doi.org/10.1057/palgrave.jors.2602435
  • Hakim, S., Seifi, A., & Ghaemi, A. (2016). A bi-level formulation for DEA-based centralized resource allocation under efficiency constraints. Computers & Industrial Engineering, 93, 28–35. https://doi.org/10.1016/j.cie.2015.12.020
  • Lee, H.-S. (2021). An integrated model for SBM and super-SBM DEA models. Journal of the Operational Research Society , 72(5), 1174–1182. https://doi.org/10.1080/01605682.2020.1755900
  • Lotfi, F. H., Noora, A. A., Jahanshahloo, G. R., Gerami, J., & Mozaffari, M. (2010). Centralized resource allocation for enhanced Russell models. Journal of Computational and Applied Mathematics, 235(1), 1–10. https://doi.org/10.1016/j.cam.2010.05.029
  • Lozano, S., & Villa, G. (2004). Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis, 22(1/2), 143–161. https://doi.org/10.1023/B:PROD.0000034748.22820.33
  • Lozano, S., & Villa, G. (2005). Centralized DEA models with the possibility of downsizing. Journal of the Operational Research Society, 56(4), 357–364. https://doi.org/10.1057/palgrave.jors.2601838
  • Mar-Molinero, C., Prior, D., Segovia, M.-M., & Portillo, F. (2014). On centralized resource utilization and its reallocation by using DEA. Annals of Operations Research, 221(1), 273–283. https://doi.org/10.1007/s10479-012-1083-8
  • Olesen, O. B., & Petersen, N. C. (1996). Indicators of ill-conditioned data sets and model misspecification in data envelopment analysis: An extended facet approach. Management Science, 42(2), 205–219. https://doi.org/10.1287/mnsc.42.2.205
  • Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). An enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115(3), 596–607. https://doi.org/10.1016/S0377-2217(98)00098-8
  • Shleifer, A. (1985). A theory of yardstick competition. The RAND Journal of Economics, 16(3), 319–327. https://doi.org/10.2307/2555560
  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
  • Varmaz, A., Varwig, A., & Poddig, T. (2013). Centralized resource planning and Yardstick competition. Omega, 41(1), 112–118. https://doi.org/10.1016/j.omega.2011.10.005
  • Zhang, Y., Zhang, H., Zhang, R., Zeng, Z., & Wang, Z. (2015). DEA-based production planning considering influencing factors. Journal of the Operational Research Society, 66(11), 1878–1886. https://doi.org/10.1057/jors.2015.16

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