A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection

Estrada, Shaneth A.; Song, Hyun Hoon; Kim, Young Ae; Namn, Su Hyeon; Kang, Shin Cheol

doi:10.1016/j.eswa.2009.03.035

Cited by 34 publications

(10 citation statements)

References 15 publications

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“…The first is that classifying countries into performance groups is a more sensible approach than CIs rankings (Vicente & Lopez, 2006;Wegman & Oppe, 2010). The second is that the question of what country 'to look up to' needs to be addressed more thoroughly, and instead of 'learning from the best,' we focus on tracking corresponding benchmark countries -a concept known as 'stepwise benchmarking' (Estrada, Song, Kim, Namn, & Kang, 2009) or seeking an 'adjacent possible' (Bauer, 2010).…”

Section: The Purpose and Scope Of The Studymentioning

confidence: 99%

Benchmarking the digital divide using a multi-level outranking framework: Evidence from EBRD countries of operation

Petrović

Bojković

Anić

et al. 2012

Government Information Quarterly

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Section: The Purpose and Scope Of The Studymentioning

confidence: 99%

Benchmarking the digital divide using a multi-level outranking framework: Evidence from EBRD countries of operation

Petrović

Bojković

Anić

et al. 2012

Government Information Quarterly

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“…More applications of DEA can be found in Emrouznejad and Yang [9] and Liu et al [10]. From a functional perspective, DEA is most often used for DMU ranking [11,12] and benchmarking target selection [13,14], and also used for technological forecasting [15] and clustering [16].…”

Section: Introductionmentioning

confidence: 99%

A Dominance-Based Network Method for Ranking Efficient Decision-Making Units in Data Envelopment Analysis

Lee

Choi

2019

Sustainability

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Ranking of efficient decision-making units (DMUs) using data envelopment analysis (DEA) results is very important for various purposes. We propose a new comprehensive ranking method using network analysis for efficient DMUs to improve the discriminating power of DEA. This ranking method uses a measure, namely dominance value, which is a network centrality-based indicator. Thus far, existing methods exploiting DMU’s positional features use either the superiority, which considers the efficient DMUs’ relative position on the frontier compared to other DMUs, or the influence, which captures the importance of the DMUs’ role as benchmarking targets for inefficient DMUs. However, in this research, the dominance value is the compounded measure of both core positional features of DMUs. Moreover, a network representation technique has been used to ensure the performance of the dominance value compared to the superiority and influence. To demonstrate the proposed ranking method, we present two examples, research and development (R&D) efficiency of small and medium-sized enterprises (SMEs) and technical efficiency of plug-in hybrid electric vehicles (HEVs). Through these two examples, we can see how the known weaknesses and the unobserved points in the existing method differ in this new method. Hence, it is expected that the proposed method provides another new meaningful ranking result that can show different implications.

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“…Ulucan [15] measured the efficiency in higher education institutions using DEA in Turkish universities using multiple inputs and outputs. Estrada, Song, Kim, Namn, & Kang [16] focused on a dynamic method in benchmarking to identify and measure the inefficient DMUs to improve the efficiency progressively from the dataset collected from the Canadian Bank branches. The study proposed an active method of stepwise benchmarking for the inefficient DMUs.…”

Section: Literature Reviewmentioning

confidence: 99%

Applying Data Envelopment Analysis and Clustering Analysis in Enhancing the Performance of Philippine National Police - District VI in the Province of Cavite

Gatpandan¹,

Ambat²

2017

IJITCA

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A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection

Cited by 34 publications

References 15 publications

Benchmarking the digital divide using a multi-level outranking framework: Evidence from EBRD countries of operation

Benchmarking the digital divide using a multi-level outranking framework: Evidence from EBRD countries of operation

A Dominance-Based Network Method for Ranking Efficient Decision-Making Units in Data Envelopment Analysis

Applying Data Envelopment Analysis and Clustering Analysis in Enhancing the Performance of Philippine National Police - District VI in the Province of Cavite

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