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379283

Supply Chain management for port performance enhancement based on Artificial intelligence

Article

Last updated: 04 Jan 2025

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Tags

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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.

DOI

10.21608/sjrbs.2024.296010.1706

Keywords

supply chain management(SCM), digital transformation, Artificial Intelligence(AI), port performance

Authors

First Name

Ola

Last Name

El Saadani

MiddleName

-

Affiliation

Arab Academy for Science, Technology and Maritime Transport

Email

olla-42@hotmail.com

City

-

Orcid

-

First Name

Hend

Last Name

Auda

MiddleName

-

Affiliation

Helwan University

Email

hendauda@commerce.helwan.edu.eg

City

-

Orcid

-

First Name

Aliaa

Last Name

Youssif

MiddleName

-

Affiliation

Arab Academy for Science, Technology and Maritime Transport

Email

aliaay@yahoo.com

City

01001992964

Orcid

-

Volume

38

Article Issue

3

Related Issue

50245

Issue Date

2024-09-01

Receive Date

2024-06-07

Publish Date

2024-09-01

Page Start

1,333

Page End

1,366

Print ISSN

1110-2373

Online ISSN

2682-4876

Link

https://sjrbs.journals.ekb.eg/article_379283.html

Detail API

https://sjrbs.journals.ekb.eg/service?article_code=379283

Order

379,283

Type

المقالة الأصلية

Type Code

1,324

Publication Type

Journal

Publication Title

المجلة العلمية للبحوث والدراسات التجارية

Publication Link

https://sjrbs.journals.ekb.eg/

MainTitle

Supply Chain management for port performance enhancement based on Artificial intelligence

Details

Type

Article

Created At

26 Dec 2024