2015
DOI: 10.1080/03088839.2015.1036471
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A performance evaluation model for supply chain of shipping company in Iran: an application of the relational network DEA

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Cited by 27 publications
(5 citation statements)
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“…Indeed, DEA is used by several authors in our sample (Wu, Yan, and Li 2010;Bichou 2011;Rios and de Sousa 2014) for performance evaluation of ports in different geographical contexts, a trend that we can also witness in recent literature outside of our data sample (e.g. (Omrani 2016;Yu and Chen 2016)).…”
Section: Research Domain 2 -Port Selection and Managementmentioning
confidence: 64%
“…Indeed, DEA is used by several authors in our sample (Wu, Yan, and Li 2010;Bichou 2011;Rios and de Sousa 2014) for performance evaluation of ports in different geographical contexts, a trend that we can also witness in recent literature outside of our data sample (e.g. (Omrani 2016;Yu and Chen 2016)).…”
Section: Research Domain 2 -Port Selection and Managementmentioning
confidence: 64%
“…Given the imprecise CO 2 data, Wei et al (2021) applied the stochastic multi‐criteria acceptability approach to evaluate the energy and environmental efficiency of the Chinese transportation sector. Omrani and Keshavarz (2016) evaluated the energy efficiency of 20 provinces in Iran using DEA and cooperative game approach. Chen et al (2021) estimated the ecological impacts on energy efficiency in 30 provinces of China from 2005 to 2016 using a four‐stage non‐radial DDF approach.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, the network DEA model can provide more meaningful and reliable efficiency analysis results than existing DEA models. With these benefits, the network DEA model has been used to measure operational efficiency in transport and logistics industrial fields such as airlines (e.g., Zhu [30], Lozano and Gutiérrez [31], Zhang et al [32]), airports (e.g., Lozano et al [33]), supply chain management (e.g., Chen and Yan [34], Momeni et al [35], Omrani and Keshavarz [36], Kahi et al [37]), port (e.g., Wanke [38]), railway (e.g., Yu and Lin [39]), public transit (Hahn et al [40]), etc.…”
Section: Network Deamentioning
confidence: 99%