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Branch performance is characterized in terms of influential-based and cluster profiles, and efficiency designations.
The evaluation index system of bank branch performance evaluation problem is shown in Table 1.
Banking branch performance evaluation problems naturally exhibit a two-level decision modeling which are connected in a hierarchical way.
The problems in the way of evaluation of banking branch performance naturally exhibit a multi-level decision making models which are connected in a hierarchical way.
For instance, Stackelberg approach is used in a mixed integer bi-level DEA model for bank branch performance evaluation (Shafiee et al. 2016).
Since the funds collected from the first level determines on the investment decision in the second level, the banking branch performance evaluation problem can be modeled as a leader-follower Stackelberg problem (Wu 2010).
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These aggregate profiles provide valuable insights on the determinants of branch efficiency performance and operating patterns.
Using the profiles as contextual information, DEA input-oriented slack-based models are applied to study branch efficiency performance from meta-frontier and cluster-frontier perspectives.
Nonetheless, there has been a steady and troubling erosion in the legislative branch's performance in the national security arena over the past 20 to 30 years that is rooted in globalization and a sharply divided U.S. political landscape.
On the boundary of the reachable workspace, reverse singularity occurrence, introduced by the branch transmission performance, as shown in Figure 7.
The Times reported in 2011 on Wells Fargo issuing reports to L.A. district managers showing every branch's performance at signing up customers for debit overdraft protection.
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