Supply Chain management for port performance enhancement based on Artificial intelligence | ||||
| المجلة العلمية للبحوث والدراسات التجارية | ||||
| Volume 38, Issue 3, September 2024, Page 1333-1366 PDF (799.33 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/sjrbs.2024.296010.1706 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ola El Saadani  1; Hend Auda2; Aliaa Youssif1
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| 1Arab Academy for Science, Technology and Maritime Transport | ||||
| 2Helwan University | ||||
| Abstract | ||||
| Egypt faces a series of challenges and opportunities in developing its supply chain management (SCM) and port operations. These developing include technological infrastructure expansion, digital transformation, regional integration and social responsibility. Artificial Intelligence (AI) is emerging as a solution for (SCM) to meet this challenges and achieve optimal performance. This study suggests that the integration of Artificial Intelligence (AI) in SCM aims to improve port performance in Egypt, based on the results of the questionnaires. However, this integration remains insufficient as it faces several obstacles, including the variability of AI maturity among supply chain actors, data security concerns, and the need to develop specialized skills in AI. Specifically, the findings of the study were analyzed in relation to the existing literature and their relevance to the research objectives and questions. The purpose of this research paper is to provide a summary of the findings and conclusions, as well as the limitations and potential contributions of the research. | ||||
| Keywords | ||||
| supply chain management(SCM); Digital transformation; Artificial Intelligence(AI); Port performance | ||||
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