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Journal ArticleDOI

Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking

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TLDR
In this paper, the authors use data envelopment analysis (DEA) to capture the interactions among different perceptions on a common set of performance measures, and demonstrate that different views from the stakeholder universe can be summarily captured in DEA scores.
Abstract
We know very little about how a firm would compare against its peers when evaluated from a multiple-stakeholder perspective where the same variables are interpreted differently. Since most medium-to-large organizations acknowledge the multi-dimensional nature of their operations, finding out the performance evaluations of various stakeholders can inform managerial decision-making. Thus, the main motivation for this study is to capture the interactions among different perceptions on a common set of performance measures. Using data envelopment analysis (DEA), we work with an approach that allows a flexible designation of inputs and outputs based on varying perspectives of five key stakeholders in banking. The versatile approach demonstrates that different views from the stakeholder universe can be summarily captured in DEA scores. A numerical example on Chinese commercial banks identifies the compliant (efficient) banks versus rigid (inefficient) banks, as well as the amenable stakeholders (those evaluating banks as efficient) versus the recalcitrant stakeholders (those evaluating banks as inefficient). The aligned views held by management and shareholders as evidenced by significant correlation among performance rankings imply reduced agency costs. Similarly, shared perceptions between customers and employees may encourage management to examine how this important business interface can be improved.

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Citations
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Journal ArticleDOI

Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA

TL;DR: In this article, a two-stage network DEA model was used to evaluate the efficiency of 16 major Chinese commercial banks during the third round of the Chinese banking reform period (2003-2011) with variable returns to scale setting and the consideration of undesirable/bad output.
Journal ArticleDOI

Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks

TL;DR: In this article, the authors investigate to what extent bank DEA super-efficiency estimates are associated with key financial ratios and find that a low correlation may present an opportunity to address inefficiencies that were not obvious in financial ratio analysis, thus enabling an update of inferences drawn from ratios.
Journal ArticleDOI

The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data

TL;DR: Zhang et al. as mentioned in this paper used Data Envelopment analysis (DEA) models to evaluate the relative efficiencies of 30 regional R&D investments using the First Official China Economic Census Data in 2004.
Journal ArticleDOI

From a literature review to a multi-perspective framework for reverse logistics barriers and drivers

TL;DR: In this paper, a multi-perspective framework for reverse logistics implementation using the lens of stakeholder theory was developed based upon a structured literature review process, where the authors considered influential factors such as drivers and barriers and stakeholders' different perspectives on RL implementation and development should also be considered.
Journal ArticleDOI

An illustration of dynamic network DEA in commercial banking including robustness tests

TL;DR: In this article, a bank network is conceptualized as two divisions or sub-DMUs, namely, interest-bearing operations and non-interest operations linked by number of referrals, and the authors illustrate dynamic network data envelopment analysis in commercial banking with emphasis on testing robustness.
References
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Book

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.
Journal ArticleDOI

A procedure for ranking efficient units in data envelopment analysis

TL;DR: In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.
Journal ArticleDOI

Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through

TL;DR: A model for measuring the efficiency of Decision Making Units =DMU's is presented, along with related methods of implementation and interpretation, and suggests the additional possibility of new approaches obtained from PFT-NFT combinations which may be superior to either of them alone.
Journal ArticleDOI

Pitfalls and protocols in DEA

TL;DR: The purpose of this paper is to highlight some of the pitfalls that have been identified in application papers under each of these headings and to suggest protocols to avoid the pitfalls and guide the application of the methodology.
Book

Quantitative models for performance evaluation and benchmarking : data envelopment analysis with spreadsheets and DEA Excel Solver

Joe Zhu
TL;DR: In this paper, the authors present DEA models for evaluating value chains Congestion Super Efficiency Sensitivity Analysis and its uses DEA Excel Solver and its use in DEA Excel solver.
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