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Logistics information systems: The Hong Kong experience

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  • Ngai, E.W.T.
  • Lai, Kee-Hung
  • Cheng, T.C.E.

Abstract

With the growing importance of logistics to the economies of Hong Kong and China, logistics information systems (LIS) are becoming essential tools for companies in Hong Kong and China to successfully compete in a global market. However, little empirical research has been conducted to study the use of information technology applications to support logistics operations and to identify the factors that are important to the adoption of LIS in Hong Kong logistics companies. This paper proposes a model for the adoption of LIS that examines the relationships among the organizational context, the perceived benefits of LIS adoption and the perceived barriers of LIS adoption. In addition, this research investigates the use of information technology (IT) applications to support logistics operations. We conducted a survey of 195 logistics companies in Hong Kong, and applied logistic regression to test the proposed model. The empirical results indicate that the use of IT in logistics is at a satisfactory level. Specifically, the logistic regression model shows that perceptions of resource barriers and a company's entire operations have a significant effect on the company's decision to adopt an LIS. The implications of the findings are discussed.

Suggested Citation

  • Ngai, E.W.T. & Lai, Kee-Hung & Cheng, T.C.E., 2008. "Logistics information systems: The Hong Kong experience," International Journal of Production Economics, Elsevier, vol. 113(1), pages 223-234, May.
  • Handle: RePEc:eee:proeco:v:113:y:2008:i:1:p:223-234
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    References listed on IDEAS

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    2. Coronado Mondragon, Adrian E. & Coronado Mondragon, Christian E. & Coronado, Etienne S., 2017. "ICT adoption in multimodal transport sites: Investigating institutional-related influences in international seaports terminals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 69-88.
    3. Muhammad Waqas & Qian-li Dong & Naveed Ahmad & Yuming Zhu & Muhammad Nadeem, 2018. "Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    4. Yui-Yip Lau & Cristina Dragomir & Yuk-Ming Tang & Adolf K. Y. Ng, 2021. "Maritime Undergraduate Students: Career Expectations and Choices," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    5. Chong, Alain Yee-Loong & Ooi, Keng-Boon & Sohal, Amrik, 2009. "The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 150-160, November.
    6. Teo, Thompson S.H. & Lin, Sijie & Lai, Kee-hung, 2009. "Adopters and non-adopters of e-procurement in Singapore: An empirical study," Omega, Elsevier, vol. 37(5), pages 972-987, October.
    7. Ge, Liping & Voß, Stefan, 2009. "ERP application in China: An overview," International Journal of Production Economics, Elsevier, vol. 122(1), pages 501-507, November.
    8. Cheng, Yung-Hsiang & Tsai, Yi-Ling, 2009. "Factors influencing shippers to use multiple country consolidation services in international distribution centers," International Journal of Production Economics, Elsevier, vol. 122(1), pages 78-88, November.
    9. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2020. "The adoption of open platform for container bookings in the maritime supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    10. Coronado Mondragon, Adrian E. & Lalwani, Chandra S. & Coronado Mondragon, Etienne S. & Coronado Mondragon, Christian E. & Pawar, Kulwant S., 2012. "Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location," International Journal of Production Economics, Elsevier, vol. 137(1), pages 165-175.
    11. Zhang, Cheng & Dhaliwal, Jasbir, 2009. "An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 120(1), pages 252-269, July.
    12. Yu Gong & Lujie Chen & Fu Jia & Richard Wilding, 2019. "Logistics Innovation in China: The Lens of Chinese Daoism," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    13. Toh, K.T.K. & Nagel, P. & Oakden, R., 2009. "A business and ICT architecture for a logistics city," International Journal of Production Economics, Elsevier, vol. 122(1), pages 216-228, November.
    14. Wong, Christina W.Y. & Lai, Kee-hung & Ngai, E.W.T., 2009. "The role of supplier operational adaptation on the performance of IT-enabled transport logistics under environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 122(1), pages 47-55, November.
    15. Lee, Peter K.C. & Yeung, Andy C.L. & Edwin Cheng, T.C., 2009. "Supplier alliances and environmental uncertainty: An empirical study," International Journal of Production Economics, Elsevier, vol. 120(1), pages 190-204, July.
    16. Huo, Baofeng & Gu, Minhao & Jiang, Bin, 2018. "China-related POM research: Literature review and suggestions for future research," International Journal of Production Economics, Elsevier, vol. 203(C), pages 134-153.

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