Skip to main content
Log in

Cross-efficiency evaluation and improvement in two-stage network data envelopment analysis

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In Network Data Envelopment Analysis models, by considering the internal structure of production units rather than a simple black-box, more inefficiency sources are identified. The objective of this paper is to assess and improve the performance of Decision Making Units with a two-stage network using cross-efficiency approach. The main contributions of this study include; first, a new benevolent method in cross-efficiency evaluation of two-stage network is proposed. Second, we propose a method for setting inputs and outputs target to improve the cross-evaluations by changing inputs of the first stage and outputs of the second stage, simultaneously. A case study validates the discussions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Agasisti, T., & Dal Bianco, A. (2009). Reforming the university sector: Effects on teaching efficiency—evidence from Italy. Higher Education, 57(4), 477–498.

    Google Scholar 

  • Ahranjani, L. Z., Matin, R. K., & Saen, R. F. (2018). Economies of scope in two-stage production systems: A data envelopment analysis approach. RAIRO-Operations Research, 52, 335–349.

    Google Scholar 

  • An, Q., Meng, F., Ang, S., & Chen, X. (2018). A new approach for fair efficiency decomposition in two-stage structure system. Operational Research, 18(1), 257–272.

    Google Scholar 

  • Caroline, M., Castano, N., & Cabanda, E. C. (2007). Performance evaluation of the efficiency of Philippine private higher educational institutions: Application of frontier approaches. International Transactions in Operational Research, 14(5), 431–444.

    Google Scholar 

  • Charnes, A., Cooper, W. W., & Rhodes, E. L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.

    Google Scholar 

  • Chu, J., & Zhu, J. (2021). Production scale-based two-stage network data envelopment analysis. European Journal of Operational Research, 294(1), 283–294.

    Google Scholar 

  • Cook, W. D., & Zhu, J. (2014). DEA Cobb-Douglas frontier and cross-efficiency. Journal of the Operational Research Society, 65(2), 265–268.

    Google Scholar 

  • Cui, Q., & Li, Y. (2015). Evaluating energy efficiency for airlines: An application of VFB-DEA. Journal of Air Transport Management, 44, 34–41.

    Google Scholar 

  • Daraio, C., Bonaccorsi, A., & Simar, L. (2015). Efficiency and economies of scale and specialization in European universities: A directional distance approach. Journal of Informetrics, 9(3), 430–448.

    Google Scholar 

  • Ding, T., Yang, J., Wu, H., Wen, Y., Tan, C., & Liang, L. (2021). Research performance evaluation of Chinese university: A non-homogeneous network DEA approach. Journal of Management Science and Engineering, 6(4), 467–481.

    Google Scholar 

  • Doyle, J., & Green, R. (1994). Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. Journal of the Operational Research Society, 45, 567–578.

    Google Scholar 

  • Ebrahimnejad, A., & Tavana, M. (2014). An interactive MOLP method for identifying target units in output-oriented DEA models: The NATO enlargement problem. Measurement, 52, 124–134.

    Google Scholar 

  • Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34, 35–49.

    Google Scholar 

  • Flegg, A. T., Allen, D. O., Field, K., & Thurlow, T. W. (2004). Measuring the efficiency of British universities: A multi-period data envelopment analysis. Education Economics, 12(3), 231–249.

    Google Scholar 

  • Golshani, H., Khoveyni, M., Valami, H. B., & Eslami, R. (2019). A slack-based super efficiency in a two-stage network structure with intermediate measures. Alexandria Engineering Journal, 58, 393–400.

    Google Scholar 

  • Guo, C., Abbasi Shureshjani, R., Foroughi, A. A., & Zhu, J. (2017). Decomposition weights and overall efficiency in two-stage additive network DEA. European Journal of Operational Research, 257(3), 896–906.

    Google Scholar 

  • Hosseini, S. S., Kazemi Matin, R., Khunsiavash, M., & Moghadas, Z. (2019). Measurement of productivity changes for general network production systems with stochastic data. Sadhana, 44, 72.

    Google Scholar 

  • Kao, C., & Hung, H. T. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36(4), 653–664.

    Google Scholar 

  • Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–429.

    Google Scholar 

  • Kao, C., & Liu, S. T. (2019). Cross efficiency measurement and decomposition in two basic network systems. Omega, 83, 70–79.

    Google Scholar 

  • Kazemi Matin, R., & Azizi, R. (2015). A unified network-DEA model for performance measurement of production systems. Measurement, 60, 186–193.

    Google Scholar 

  • Kiaei, H., and Kazemi Matin, R. (2021). New Common Set of Weights Method in Black-box and Two-stage Network Data Envelopment Analysis. Annals of Operations Research. (In press).

  • Kiaei, H., & Kazemi Matin, R. (2020). Common set of weights and efficiency improvement on the basis of separation vector in two-stage network data envelopment analysis. Mathematical Sciences, 14, 53–65.

    Google Scholar 

  • Kiaei, H., Kazemi Matin, R., & Nasseri, S. H. (2020). Production trade-offs and weight restrictions in two-stage network data envelopment analysis. International Journal of Applied Decision Sciences, 13(1), 21–45.

    Google Scholar 

  • Lam, K. F. (2010). In the determination of weight sets to compute cross-efficiency ratios in DEA. Journal of the Operational Research Society, 61(1), 134–143.

    Google Scholar 

  • Leitner, K. H., Prikoszovits, J., Linzatti, M. S., Stowasser, R., & Wagner, K. (2007). The impact of size and specialization on universities’ department performance: A DEA analysis applied to Austrian universities. Higher Education, 53(4), 517–538.

    Google Scholar 

  • Lim, S., Oh, K. W., & Zhu, J. (2014). Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market. European Journal of Operational Research, 236(1), 361–368.

    Google Scholar 

  • Lim, S., & Zhu, J. (2015). DEA cross-efficiency evaluation under variable returns to scale. Journal of the Operational Research Society, 66(3), 476–487.

    Google Scholar 

  • Lin, R., & Tu, C. (2021). Cross-efficiency evaluation and decomposition with directional distance function in series and parallel systems. Expert Systems with Applications, 177(1), 114933.

    Google Scholar 

  • Liu, J. S., & Lu, W. M. (2012). Network-based method for ranking of efficient units in two-stage DEA models. Journal of the Operational Research Society, 63, 1153–1164.

    Google Scholar 

  • Lozano, S., & Khezri, S. (2021). Network DEA smallest improvement approach. Omega, 98, 102140.

    Google Scholar 

  • Maddahi, R., Jahanshahloo, G. R., Lotfi, H. F., & Ebrahimnejad, A. (2014). Optimising proportional weights as a secondary goal in DEA cross-efficiency evaluation. International Journal of Applied Decision Sciences, 19, 234–245.

    Google Scholar 

  • Meng, F., & Xiong, B. (2021). Logical efficiency decomposition for general two-stage systems in view of cross efficiency. European Journal of Operational Research, 294(2), 622–632.

    Google Scholar 

  • Moslemi, S., & Mirzazadeh, A. (2017). Performance evaluation of four-stage blood supply chain with feedback variables using NDEA cross-efficiency and entropy measures under IER uncertainty. Numerical Algebra, Control and Optimization, 7(4), 379–401.

    Google Scholar 

  • Nasseri, S. H., & Kiaei, H. (2019). The new neutral secondary goal based on ideal dmu evaluation in cross-efficiency. Iranian Journal of Management Studies, 12(4), 509–530.

    Google Scholar 

  • Nemati, M., Kazemi Matin, R., & Toloo, M. (2020). A two-stage DEA model with partial impacts between inputs and outputs: Application in refinery industries. Annals of Operations Research, 295, 285–312.

    Google Scholar 

  • Örkcü, H. H., Özsoy, V. S., Örkcü, M., & Bal, H. (2019). A neutral cross efficiency approach for basic two-stage production systems. Expert Systems with Applications, 125, 333–344.

    Google Scholar 

  • Rödder, W., & Reucher, E. (2011). A consensual peer-based DEA model with optimized cross-efficiencies: Input allocation instead of radial reduction. European Journal of Operational Research, 212, 148–154.

    Google Scholar 

  • Sexton, T.R., Silkman, R.H., Hogan, A.J. (1986). Data envelopment analysis: Critique and extensions. Measuring Efficiency: An assessment of data envelopment analysis. Jossey-Bass.

  • Shahbazifar, M. S., Kazemi Matin, R., Khounsiavash, M., & Koushki, F. (2021). Group ranking of two-stage production units in network data envelopment analysis. RAIRO-Operations Research, 55, 1825–1840.

    Google Scholar 

  • Shao, X., & Wang, M. (2021). Two-stage cross-efficiency evaluation based on prospect theory. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2021.1918587

    Article  Google Scholar 

  • Tavana, M., Ebrahimnejad, A., Santos-Arteaga, F. J., Mansourzadeh, S. M., & Matin, R. K. (2018a). A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia. Socio-Economic Planning Sciences, 61, 70–89.

    Google Scholar 

  • Tavana, M., Izadikhah, M., Caprio, D. D., & Farzipoor Saen, R. (2018b). A New dynamic range directional measure for two-stage data envelopment analysis models with negative data. Computers and Industrial Engineering, 115, 427–448.

    Google Scholar 

  • Wang, M., Huang, Y., & Li, D. (2021). Assessing the performance of industrial water resource utilization systems in China based on a two-stage DEA approach with game cross efficiency. Journal of Cleaner Production, 312, 127722.

    Google Scholar 

  • Wang, Y. M., & Chin, K. S. (2010). A neutral DEA model for cross-efficiency evaluation and its extension. Expert Systems with Applications, 37(5), 3666–3675.

    Google Scholar 

  • Wang, Y. M., Chin, K. S., & Wang, S. (2012). DEA models for minimizing weight disparity in cross-efficiency evaluation. Journal of the Operational Research Society, 63, 1079–1088.

    Google Scholar 

  • Wu, J., Liang, L., & Yang, F. (2009). Achievement and benchmarking of countries at the Summer Olympics using cross efficiency evaluation method. European Journal of Operational Research, 197(2), 722–730.

    Google Scholar 

  • Yadolladi, A. H., & Matin, R. K. (2021). Centralized resource allocation with the possibility of downsizing in two-stage network production systems. RAIRO-Operations Research, 55(4), 2583–2598.

    Google Scholar 

  • Zadmirzaei, M., Mohammadi Limaei, S., & Amirteimoori, A. (2015). Efficiency analysis of paper mill using data envelopment analysis models (case study: Mazandaran wood and paper company in Iran). Journal of Agricultural Science and Technology, 17(6), 1381–1391.

    Google Scholar 

  • Zhu, Y., Li, Y., & Liang, L. (2018). A variation of two-stage SBM with leader–follower structure: An application to Chinese commercial banks. Journal of the Operational Research Society, 69(6), 840–848.

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Editor and the four anonymous reviewers for their insightful suggestions and careful reading of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Reza Farzipoor Saen.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kiaei, H., Saen, R.F. & Matin, R.K. Cross-efficiency evaluation and improvement in two-stage network data envelopment analysis. Ann Oper Res 321, 281–309 (2023). https://doi.org/10.1007/s10479-022-04861-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-022-04861-7

Keywords

Navigation