IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4899-7705-2_15.html
   My bibliography  Save this book chapter

DEA and Accounting Performance Measurement

In: Handbook of Operations Analytics Using Data Envelopment Analysis

Author

Listed:
  • Julie Harrison

    (The University of Auckland)

  • Paul Rouse

    (The University of Auckland)

Abstract

This chapter considers the use of accounting information in DEA. We examine some of the advantages and pitfalls of using this type of information in DEA models. We also discuss some typical accounting measures used in DEA and suggest three models using publicly available accounting information. The chapter also examines how DEA can be used in conjunction with accounting approaches to measurement, including the balanced scorecard and activity-based costing. We demonstrate, using case studies, how the combined use of these methods can improve the insights obtained. The chapter concludes by discussing contingency theory and how it can be used to inform DEA research on the relationship between performance and environmental factors.

Suggested Citation

  • Julie Harrison & Paul Rouse, 2016. "DEA and Accounting Performance Measurement," International Series in Operations Research & Management Science, in: Shiuh-Nan Hwang & Hsuan-Shih Lee & Joe Zhu (ed.), Handbook of Operations Analytics Using Data Envelopment Analysis, chapter 0, pages 385-412, Springer.
  • Handle: RePEc:spr:isochp:978-1-4899-7705-2_15
    DOI: 10.1007/978-1-4899-7705-2_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthias Staessens & Pieter Jan Kerstens & Johan Bruneel & Laurens Cherchye, 2019. "Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift," Journal of Business Ethics, Springer, vol. 159(2), pages 325-341, October.
    2. Kuo‐Cheng Kuo & Wen‐Min Lu & Thanh Nhan Dinh, 2020. "Firm performance and ownership structure: Dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 608-623, June.
    3. Thi Ngan Pham & Phung Phi Tran & Minh-Hieu Le & Hoang Nhi Vo & Cong Dat Pham & Hai-Dang Nguyen, 2022. "The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    4. Ioannis E. Tsolas, 2021. "Efficiency and Determinants of Capital Structure in the Greek Pharmaceutical, Cosmetic and Detergent Industries," JRFM, MDPI, vol. 14(12), pages 1-13, December.
    5. Veltri, Stefania & Bruni, Maria Elena & Iazzolino, Gianpaolo & Morea, Donato & Baldissarro, Giovanni, 2023. "Do ESG factors improve utilities corporate efficiency and reduce the risk perceived by credit lending institutions? An empirical analysis," Utilities Policy, Elsevier, vol. 81(C).
    6. Tan, Hua & Iqbal, Nadeem & Wu, Zhengzhong, 2022. "Evaluating the impact of stakeholder engagement for renewable energy sources and economic growth for CO2 emission," Renewable Energy, Elsevier, vol. 198(C), pages 999-1007.
    7. Piran, Fabio Sartori & Lacerda, Daniel Pacheco & Camanho, Ana S. & Silva, Maria C.A., 2021. "Internal benchmarking to assess the cost efficiency of a broiler production system combining data envelopment analysis and throughput accounting," International Journal of Production Economics, Elsevier, vol. 238(C).
    8. Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    9. Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
    10. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    11. María-Celia López-Penabad & José Manuel Maside-Sanfiz & Juan Torrelles-Manent & Carmen López-Andión, 2021. "Performance Evaluation of Sheltered Workshops. Does Legal Status Matter?," Sustainability, MDPI, vol. 13(3), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-1-4899-7705-2_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.