International Journal of Research Studies in Management
CollabWritive Special Issue
2024 Volume 12 Issue 11
Available Online: 1 September 2024
Author/s:
Dong, Bo
Graduate School, Lyceum of the Philippines University – Batangas, Philippines
Abstract:
With the rapid development of the global economy, the logistics industry has maintained a good momentum of sustained and rapid development, and the industry scale and service capability have been significantly improved. Logistics has become an important pillar industry for the development of the national economy. However, some long-standing factors seriously restrict the rapid development of logistics industry, logistics costs remain high, market competition is not standardized, weak profitability of enterprises and low profit margins and other problems affect the sustainable development of logistics industry. Therefore, with the continuous progress of science and technology, logistics service providers need to use new technologies and innovative methods to improve logistics efficiency, reduce costs, and meet the service needs of consumers. The application of artificial intelligence in the logistics industry provides important technical support for the intelligent logistics operation mode, and intelligent logistics can realize the system perception of logistics transportation, warehousing, packaging, loading and unloading, circulation processing, distribution and other links. Comprehensive analysis, timely processing and self-adjustment functions to achieve logistics regularity intelligence, discovery intelligence, innovation intelligence and system intelligence. It is obvious that the application of artificial intelligence in the logistics industry and the smart logistics operation model are becoming a new choice for logistics service providers. The smart logistics operation mode is the only way for the development and transformation of the logistics industry. The smart logistics marked by modern information technology is entering a stage of rapid development. This paper takes logistics service providers, especially those in China, as the research object, and analyzes the AI tools and incentives they choose in adopting intelligent logistics operation models. Specifically, the paper analyzes the incentive factors for logistics service providers to choose smart logistics from the relevant policies of enterprises, logistics industry and government departments, that is, studies which policies and measures promote the adoption of smart logistics operation mode by logistics service providers. This paper studies the influence factors of the choice of intelligent logistics mode on the service efficiency, service accuracy and service reliability of logistics service providers. Finally, select transportation, warehousing and distribution three important links, to study how the smart logistics operation mode affects the operation of each link of logistics. This paper mainly uses questionnaires to collect and organize data, among which the survey objects are distributed in Beijing, Tianjin and Hebei Province in China. To be specific, typical logistics service providers in three regions are selected as research objects, and questionnaires are conducted for employees at different levels to study the application of smart logistics by logistics service providers from different perspectives, and finally an improved logistics service framework is obtained.
Keywords: smart logistics, artificial intelligence usage, incentives measurements, service framework
DOI: https://doi.org/10.5861/ijrsm.2024.1258
Cite this article:
Dong, B. (2024). Artificial intelligence usage, incentives measurements, and operational mechanisms for smart logistics: Basis for improved customer service framework. International Journal of Research Studies in Management, 12(11), 139-148. https://doi.org/10.5861/ijrsm.2024.1258