The major determinants of logistic performance in a global perspective: evidence from panel data analysis-Reference-Cited by-同舟云学术

The major determinants of logistic performance in a global perspective: evidence from panel data analysis

Published:2018-02-15 Issue:4 Volume:21 Page:431-443
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Wong Wai Peng¹^ORCID,Tang Chor Foon²^ORCID

Affiliation:

1. School of Management, Universiti Sains Malaysia, Penang, Malaysia

2. Centre for Policy Research and International Studies, Universiti Sains Malaysia, Penang, Malaysia

Funder

Universiti Sains Malaysia

Fundamental Research Grant Scheme (FRGS)

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2018.1438377

Reference44 articles.

1. The Colonial Origins of Comparative Development: An Empirical Investigation

2. Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficiency analysis of the innovation-driven sustainable logistics industry;Socio-Economic Planning Sciences;2024-12

2. The intersection of supply chain operations and finance: Logistics uncertainty and International IPO underpricing;Transportation Research Part E: Logistics and Transportation Review;2024-09

3. The role of institutions in logistics performance as a new road toward GVC participation;Transnational Corporations Review;2024-09

4. Exploring the influence of internal and external conflicts on the resource curse hypothesis in OECD countries;Resources Policy;2024-01

5. Financial Performance Measurement of Logistics Companies: Empirical Evidence from Saudi Arabia;Unsupervised and Semi-Supervised Learning;2024