EconPapers    
Economics at your fingertips  
 

Data envelopment analysis and accounting measures

Claire Cui (), Julie Harrison, Frederick Ng and Paul Rouse
Additional contact information
Claire Cui: Auckland University of Technology
Julie Harrison: University of Auckland
Frederick Ng: University of Auckland
Paul Rouse: University of Auckland

Annals of Operations Research, 2025, vol. 351, issue 2, No 6, 1353-1376

Abstract: Abstract This paper surveys the growing stream of DEA research that uses only accounting measures, which we term “FinDEA”. Our analysis of 280 FinDEA studies from 1990 to 2023, identified 322 models using a diversity of firm performance constructs and accounting measures. The breadth of firm performance, nature and variety of accounting measures, and approaches used in this research stream introduce new challenges beyond those faced in conventional DEA research. We develop a hierarchical framework of FinDEA illustrating how various models focus on a range of hierarchical organisational aspects, leading to diverse interpretations of performance and differing selections of accounting measures. This diversity, however, is often unacknowledged by accounting researchers, where reliance on prior literature or direct adoption of FinDEA models is common. The hierarchical framework provides a continuum of firm performance constructs used in FinDEA research and highlights considerations and suggestions for future researchers and readers around model design and evaluation.

Keywords: Data envelopment analysis; Accounting measures; Firm performance (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-025-06533-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:351:y:2025:i:2:d:10.1007_s10479-025-06533-8

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-025-06533-8

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-08-07
Handle: RePEc:spr:annopr:v:351:y:2025:i:2:d:10.1007_s10479-025-06533-8