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Articles

A bootstrap analysis to investigate the economic efficiency of the logistics industry in ItalyFootnote*

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Pages 20-34 | Received 07 Oct 2016, Accepted 05 Jul 2017, Published online: 18 Jul 2017

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Serdar Alnıpak, Erkan Isikli & Sudi Apak. (2023) The propellants of the Logistics Performance Index: an empirical panel investigation of the European region. International Journal of Logistics Research and Applications 26:7, pages 894-916.
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Kannan Govindan, Abdullah S. Karaman, Ali Uyar & Merve Kilic. (2023) Board structure and financial performance in the logistics sector: Do contingencies matter?. Transportation Research Part E: Logistics and Transportation Review 176, pages 103187.
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Krishna Kumar Dadsena, S. P. Sarmah & V. N. A. Naikan. 2023. Applications of Emerging Technologies and AI/ML Algorithms. Applications of Emerging Technologies and AI/ML Algorithms 111 119 .
Dominic Loske & Matthias Klumpp. (2021) Intelligent and efficient? An empirical analysis of human–AI collaboration for truck drivers in retail logistics. The International Journal of Logistics Management 32:4, pages 1356-1383.
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Juraj Hudec, Branislav Šarkan, Renáta Czödörová & Jacek Caban. (2021) The Influence of Quality Management System on the Operation of Periodical Technical Inspection Stations. Applied Sciences 11:11, pages 4854.
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Patrycjusz Stoma, Monika Stoma, Agnieszka Dudziak & Jacek Caban. (2019) Bootstrap Analysis of the Production Processes Capability Assessment. Applied Sciences 9:24, pages 5360.
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Qinmei Wang & Rui Luo. (2019) The Mechanism and Empirical Study of Intelligent Logistics Technology Improving the Efficiency of Logistics Industry ——Taking the “Core Area” of the Silk Road Economic Belt as example. Procedia CIRP 83, pages 285-291.
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