The impact of digital logistics under the big environment of economy

Abstract

Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions.

Factors influencing ICT implementation in motorcycle goods transport: the mediating role of business efficiency, infrastructure and motorcycle benefits

“…In the model, we presumed that IFT enables the creation of a knowledge-based logistics environment to support technologies integrated into the MGT system for efficient goods delivery. Modern logistics and SC aim to construct a vast smart infrastructure that combines data, goods, physical objects and business improvements (Zhang et al, 2023). These smart infrastructures influence efficient logistics business by allowing for goods tracking in real-time, business forecasting, digital payment of goods and services and goods packaging and unitization.…”