Intelligent logistics transformation problems in efficient commodity distribution
Weihua Liu,
Jiahui Zhang,
Yangyan Shi,
Paul Tae-Woo Lee and
Yanjie Liang
Transportation Research Part E: Logistics and Transportation Review, 2022, vol. 163, issue C
Abstract:
In recent years, comprehensive information, intelligence and automation technology have become the emerging development trend in distribution enterprises. Intelligent logistics transformation (ILT) is the basis of realising efficient commodity distribution. However, the real-time practice of implementation of ILT is not running smoothly in China. This is caused by a lack of a theoretical framework of causes of intelligent logistics transformation problems (ILTP) in efficient commodity distribution that helps enterprises avoid problems. This pilot study proposes a conceptual model of ILTP based on the grounded theory and tests it by a survey in application to efficient commodity distribution. There are five major factors influencing ILTP in efficient commodity distribution: inherent risks of transformation, difficulties in organizational adjustment, market obstacles, market drivers and social factors. The inherent risks of transformation and difficulties in organizational adjustment are direct factors affecting the ILTP, while market obstacles, market drivers and social factors moderate significantly these relations. The key contribution of this paper provides firms and governments with relevant management and policy recommendations to implement the ILT in the context of the efficient commodity distribution.
Keywords: Intelligent logistics; Transformation problems; Conceptual model; Grounded theory; Survey (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)
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DOI: 10.1016/j.tre.2022.102735
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