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403747

“Artificial Intelligence (AI) Disclosure and Financial Performance: An Empirical Study of Egyptian Banks”

Article

Last updated: 13 Jan 2025

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Tags

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Abstract

Abstract The present paper aims to discuss the degree to which analyzed Egyptian banks integrate AI techniques into their functioning and assess the relationship between AI disclosure and business outcomes. Based on content analysis by Atlas. ti 23, AI-related terms were identified in annual report data of the period 2017 – 2023 from 17 Egyptian banks listed in the Central Bank of Egypt (CBE). In using regression analysis, the results showed that AI disclosure has been slowly improving while some banks still have low disclosures revealing that extraordinary AI application is still in its nascent stages. The research evidence demonstrates that AI disclosure improves firm accounting performance in terms of ROA and ROE and decreases total operational costs. These outcomes are consistent with findings within the international literature indicating that AI facilitates optimisation and optimisation of financial performances achieved by reducing costs and increasing revenues. This research enriches the literature on the use of AI in banking especially in the Middle East by presenting a framework for measuring AI disclosure and discussing its relationship with organizational performance. The work is useful for Egyptian authorities, financial supervisors and other banking personnel to gain more insights regarding the current state of AI disclosures and how they should enhance the quality of such disclosures to help improve the operations, decision making and organisational strategic direction of financial firms in Egypt.

DOI

10.21608/msamsj.2025.344189.1082

Keywords

AI, Financial Performance, Egyptian banking sector

Authors

First Name

Mohamed

Last Name

Abdelraouf

MiddleName

-

Affiliation

Finance, Administrative Sciences, King Salman International University, Sharm El Shiekh, Egypt

Email

mohamedabdelraouf04@gmail.com

City

South Sinai

Orcid

0000-0003-4256-0375

First Name

Mohamed

Last Name

Salem

MiddleName

-

Affiliation

Finance, Business Administration, Arab Academy for Science and Technology, Cairo, Egypt

Email

mohamedraouf@web.de

City

-

Orcid

-

First Name

Ahmed

Last Name

Hashim

MiddleName

Amin

Affiliation

Finance, Administrative Sciences, King Salman International University, Sharm El Shiekh, Egypt

Email

mohamed.mosab@ksiu.edu.eg

City

Finance, Administrative Sciences, King Salman International University, Sharm El Shiekh, Egypt

Orcid

-

Volume

4

Article Issue

1

Related Issue

51236

Issue Date

2025-01-01

Receive Date

2024-12-13

Publish Date

2025-01-01

Page Start

92

Page End

113

Print ISSN

2974-3028

Online ISSN

2974-3036

Link

https://msamsj.journals.ekb.eg/article_403747.html

Detail API

http://journals.ekb.eg?_action=service&article_code=403747

Order

403,747

Type

Original Article

Type Code

2,535

Publication Type

Journal

Publication Title

MSA-Management Sciences Journal

Publication Link

https://msamsj.journals.ekb.eg/

MainTitle

“Artificial Intelligence (AI) Disclosure and Financial Performance: An Empirical Study of Egyptian Banks”

Details

Type

Article

Created At

13 Jan 2025