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Ownership-specified network DEA models

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  • Tsung-Sheng Chang
  • Kaoru Tone
  • Quanling Wei

Abstract

To our knowledge, all network DEA models proposed in the literature so far either implicitly or explicitly assume that all entities comprised of a network (system) are owned by a single owner, i.e., a centralized system. As a result, those models are not applicable to performance evaluation for a wide variety of distributed and hybrid systems in practice. Therefore, this study aims to show the importance of taking into account the ownership structure of networks (systems) in constructing effective network DEA models, and accordingly develops three ownership-specified (centralized, distributed and hybrid) network DEA models in terms of both input- and output-orientation. A numerical example is used to validate the critical importance of the ownership with entities and thus networks in both network DEA methodologies and applications. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Tsung-Sheng Chang & Kaoru Tone & Quanling Wei, 2014. "Ownership-specified network DEA models," Annals of Operations Research, Springer, vol. 214(1), pages 73-98, March.
    • Handle: RePEc:spr:annopr:v:214:y:2014:i:1:p:73-98:10.1007/s10479-011-0949-5
    DOI: 10.1007/s10479-011-0949-5
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    References listed on IDEAS

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    1. Kao, Chiang, 2009. "Efficiency decomposition in network data envelopment analysis: A relational model," European Journal of Operational Research, Elsevier, vol. 192(3), pages 949-962, February.
    2. Chen, Yao & Liang, Liang & Zhu, Joe, 2009. "Equivalence in two-stage DEA approaches," European Journal of Operational Research, Elsevier, vol. 193(2), pages 600-604, March.
    3. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    4. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    5. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    6. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    7. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    8. Zhongsheng Hua & Yiwen Bian, 2008. "Performance measurement for network DEA with undesirable factors," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(2), pages 141-153.
    9. C. Vaz & A. Camanho & R. Guimarães, 2010. "The assessment of retailing efficiency using Network Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 173(1), pages 5-24, January.
    10. Sheth, Chintan & Triantis, Konstantinos & Teodorovic, Dusan, 2007. "Performance evaluation of bus routes: A provider and passenger perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 453-478, July.
    11. Prieto, Angel M. & Zofio, Jose L., 2007. "Network DEA efficiency in input-output models: With an application to OECD countries," European Journal of Operational Research, Elsevier, vol. 178(1), pages 292-304, April.
    12. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
    13. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    14. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
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    2. Pournader, Mehrdokht & Kach, Andrew & Fahimnia, Behnam & Sarkis, Joseph, 2019. "Outsourcing performance quality assessment using data envelopment analytics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 173-182.

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