51 |
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Measuring the technology gap and logistics performance of individual countries by using a meta-DEA–AR model
|
Yu, Ming-Miin; Hsiao, Bo
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Taylor & Francis
|
2016
|
|
|
52 |
|
A cross-region analysis of the output elasticity of transport investment in China
|
Shi, Wenming; Bang, Hee-Seok; Li, Kevin X.
|
Taylor & Francis
|
2016
|
|
|
53 |
|
Impact of scale increase of container ships on the generalised chain cost
|
Van Hassel, Edwin; Meersman, Hilde; Van de Voorde, Eddy; Vanelslander, Thierry
|
Taylor & Francis
|
2016
|
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54 |
|
A game-theoretical approach for modeling competitions in a maritime supply chain
|
Song, Liying; Yang, Dong; Chin, Anthony Theng Heng; Zhang, Guangzhi; He, Zhengbing; Guan, Wei; Mao, Baohua
|
Taylor & Francis
|
2016
|
|
|
55 |
|
Modelling and forecasting the demolition market in shipping
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Kagkarakis, Nikos D.; Merikas, Andreas G.; Merika, Anna
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Taylor & Francis
|
2016
|
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56 |
|
Managing culturally diverse maritime human resources as a shipping company’s core competency
|
Progoulaki, Maria; Theotokas, Ioannis
|
Taylor & Francis
|
2016
|
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57 |
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Examining sustainability performance at ports: port managers’ perspectives on developing sustainable supply chains
|
Lu, Chin-Shan; Shang, Kuo-Chung; Lin, Chi-Chang
|
Taylor & Francis
|
2016
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58 |
|
The impact of the Panama Canal expansion on Panama’s maritime cluster
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Pagano, Anthony; Wang, Grace; Sánchez, Onésimo; Ungo, Ricardo; Tapiero, Eddie
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Taylor & Francis
|
2016
|
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59 |
|
A continuous berth template design model with multiple wharfs
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Huang, Kuancheng; ;
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Taylor & Francis
|
2016
|
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|
60 |
|
Evaluating and selecting maritime suppliers
|
Hsu, Yu-Chang; Lu, Hua-An; Chu, Ching-Wu
|
Taylor & Francis
|
2016
|
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