Literature Review of Measuring Operational Efficiency of Commercial Banks using DEA Model

Huyen Ngo Khanh

No uy9mx, OSF Preprints from Center for Open Science

Abstract: This paper examines the operational efficiency of commercial banks through the lens of the Data Envelopment Analysis (DEA) model, highlighting its significance in assessing banking performance in a rapidly evolving financial landscape. By analyzing key literature and trends, the study identifies critical factors influencing bank efficiency, including technological advancements, sustainability, and regulatory frameworks. It also explores the impact of digital transformation on traditional banking operations and emphasizes the importance of customer-centric approaches in enhancing service efficiency. Furthermore, the paper discusses future research directions, such as the integration of artificial intelligence and big data analytics, cross-country comparisons, and the relationship between operational efficiency and risk management. Ultimately, this study aims to provide insights for scholars and practitioners seeking to enhance the competitiveness and resilience of commercial banks in an increasingly complex global environment.

Date: 2024-10-30
New Economics Papers: this item is included in nep-ban and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/672226201aca4ab459bfacd6/

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:osf:osfxxx:uy9mx

DOI: 10.31219/osf.io/uy9mx

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().