Investigating the Impact of Artificial Intelligence on the Performance and Sustainability of Transportation in the Retail Industry: A Structural Equation Modeling Approach

被引：0

作者：

Alhammadi, Aisha ^{[1
]}

Cheaitou, Ali ^{[1
]}

Alrhaimi, Salem ^{[2
]}

机构：

[1] Univ Sharjah, Ind Engn & Engn Management Dept, Sharjah, U Arab Emirates

[2] Police Sci Acad, Business Adm, Sharjah, U Arab Emirates

来源：

PROCEEDING OF THE 7TH INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT, GOL 2024, VOL 1 | 2024年 / 1104卷

关键词：

Supply Chain Transportation; Sustainability; Artificial Intelligence; PLS-SEM;

D O I：

10.1007/978-3-031-68628-3_10

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

The recent advancements in artificial intelligence (AI) present new opportunities for improving the performance of various industries, including retail. In supply chain transportation, AI is being used to tackle challenges, including on-time deliveries, delivery flexibility, lead time, capacity utilization, shipping errors, and CO2 emissions. This study aims to explore the impact of adopting AI to improve transportation performance and sustainability. For this, structural equation modeling (SEM) was employed. We developed two hypotheses, created a conceptual model, and validated it through a survey with feedback from 73 respondents. It was clear that supply chain professionals in the consumer goods retail industry widely acknowledge the benefits of AI in enhancing transportation efficiency and sustainability. The model demonstrates AI's positive effect on transportation and sustainability measures. It has been found that the model can help businesses facilitate AI adoption in the consumer goods retail industry to improve transportation performance and sustainability in the United Arab Emirates.

引用

页码：99 / 105

页数：7

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