Matrix-based network data envelopment analysis: A common set of weights approach
Pejman Peykani,
Fatemeh Sadat Seyed Esmaeili,
Mir Saman Pishvaee,
Mohsen Rostamy-Malkhalifeh and
Farhad Hosseinzadeh Lotfi
Socio-Economic Planning Sciences, 2024, vol. 95, issue C
Abstract:
Performance measurement of decision-making units (DMUs) with network structure is one of the main challenges in data envelopment analysis (DEA) field. The main purpose of this paper is to propose a novel network data envelopment analysis (NDEA) approach based on matrix of efficiency, common set of weights (CSW), multi-objective programming (MOP), and goal programming (GP) technique for performance measurement of peer DMUs in two-stage network structure. The advantages of the proposed NDEA approach can be summarized as follows: comparing all DMUs and sub-DMUs on the same base, considering all internal structures and relations and capability to extending this for all network structures, linearity of the proposed models, unique efficiency decomposing without any need to consider multiplicative, additive or leader-follower relations between overall and stages efficiency. To illustrate the usefulness and applicability of the proposed approach we applied it to a real application of non-life insurance companies in Taiwan.
Keywords: Network data envelopment analysis; Common set of weights; Efficiency matrix; General two-stage structure; Multi-objective programming; Insurance industry (search for similar items in EconPapers)
JEL-codes: C02 C14 C61 C67 G22 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:95:y:2024:i:c:s003801212400243x
DOI: 10.1016/j.seps.2024.102044
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