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Context-Dependent Dea With An Application To Tokyo Public Libraries

Author

Listed:
  • YAO CHEN

    (College of Management, University of Massachusetts at Lowell, Lowell, MA 01845, USA)

  • HIROSHI MORITA

    (Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, 565-0871, Japan)

  • JOE ZHU

    (Department of Management, Worcester Polytechnic Institute, Worcester, MA 01609, USA)

Abstract

Data envelopment analysis (DEA) identifies an empirical efficient frontier of a set of peer decision making units (DMUs) with multiple inputs and outputs. The efficient frontier is characterized by the DMUs with an unity efficiency score. The performance of inefficient DMUs is characterized with respect to the identified efficient frontier. If the performance of inefficient DMUs deteriorates or improves (up to the frontier), the efficient DMUs still have an unity efficiency score. However, the performance of DMUs may be influenced by the context — e.g. a product may appear attractive against a background of less attractive alternatives and unattractive when compared to more attractive alternatives. With an application to Tokyo public libraries, the current paper presents and demonstrates a context-dependent DEA which measures the relative attractiveness of libraries on a specific performance level against libraries exhibiting poorer performance. The set of libraries are grouped into different levels of efficient frontiers. Each efficient frontier (on a specific performance level) is then used as evaluation context for the relative attractiveness. The performance of the efficient libraries changes as the inefficient libraries change their performance. The context-dependent DEA can also be used to differentiate the performance of efficient DMUs. The context-dependent DEA provides finer DEA results with respect to the performance of all DMUs.

Suggested Citation

  • Yao Chen & Hiroshi Morita & Joe Zhu, 2005. "Context-Dependent Dea With An Application To Tokyo Public Libraries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 385-394.
    • Handle: RePEc:wsi:ijitdm:v:04:y:2005:i:03:n:s0219622005001635
    DOI: 10.1142/S0219622005001635
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    Citations

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    Cited by:

    1. Calogero Guccio & Marco Martorana & Isidoro Mazza & Ilde Rizzo, 2016. "Back to the Future. The effect of digital technology on the performance of public historical archives," ACEI Working Paper Series AWP-10-2016, Association for Cultural Economics International, revised Sep 2016.
    2. Fuad Aleskerov & Vsevolod Petrushchenko, 2016. "DEA by sequential exclusion of alternatives in heterogeneous samples," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 5-22, January.
    3. Simon, Jose & Simon, Clara & Arias, Alicia, 2011. "Changes in productivity of Spanish university libraries," Omega, Elsevier, vol. 39(5), pages 578-588, October.
    4. Calogero Guccio & Marco Martorana & Isidoro Mazza & Ilde Rizzo, 2021. "Back to the Future: Does the use of information and communication technology enhance the performance of public historical archives?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 13-43, March.
    5. Guccio, Calogero & Martorana, Marco & Mazza, Isidoro & Pignataro, Giacomo & Rizzo, Ilde, 2020. "An assessment of the performance of Italian public historical archives: Preservation vs utilisation," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1270-1286.
    6. Vladimír Holý, 2022. "The impact of operating environment on efficiency of public libraries," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 395-414, March.
    7. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).

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