Two-stage evaluation of bank branch efficiency using data envelopment analysis

By Joseph C. Paradi, Stephen Rouatt, Haiyan Zhu. 2011

323 citations recorded by the source corpus.

Subfields: Accounting, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/fb4da00f93d78f758828311f14c1b8760e2d7e8b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Chyan Yang
2. Hsian-Ming Liu

In Finance

1. Chun-Hsien Wang
2. Chyan Yang
3. Hsian-Ming Liu

In Management Science and Operations Research

1. Chun-Hsien Wang
2. Chyan Yang
3. Hsian-Ming Liu
4. Yung-Hsiang Lu
5. Chin-Wei Huang
6. Jun-Yen Lee

Citations in the corpus

• A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, unknown): “[53] proposed a two-stage DEA model for simultaneously benchmarking the performance of bank branches along different dimensions.”
• Managerial efficiency in Taiwan bank branches: A network DEA (2012, methodology): “The primary differences among these approaches are the restrictions imposed on the specification of the best practice frontier, the assumptions of random error and inefficiencies, and the existence of random errors (Bauer et al., 1998; Paradi et al., 2011a).”
• R&D, productivity, and market value: An empirical study from high-technology firms (2013, methodology): “Under the original two-stage framework, the efficiency and effectiveness are separately calculated for each stage of the DEA (linear programming problem) implementation, including [45,47–55].”