M. E. Seliaman

King Faisal University

H-index: 10

Asia-Saudi Arabia

About M. E. Seliaman

M. E. Seliaman, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at King Faisal University, specializes in the field of Information Systems, Decision Support Systems, Supply chain Management, Operations management.

His recent articles reflect a diverse array of research interests and contributions to the field:

SAUDI CONSUMERS CONTINUOUS INTENTION TOWARDS M-SHOPPING: A STRUCTURAL EQUATION MODEL

The Reasons for Physicians and Pharmacists’ Acceptance of Clinical Support Systems in Saudi Arabia

Sustainable applications of smart-government services: A model to understand smart-government adoption

Investigating health-related features and their impact on the prediction of diabetes using machine learning

An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

Evaluation of the impact of clinical decision support systems: Descriptive analytics

M. E. Seliaman Information

University	King Faisal University
Position	Associate Professor of Decision Support Systems
Citations(all)	573
Citations(since 2020)	316
Cited By	345
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	10
i10Index(since 2020)	7
Email	Access Email
University Profile Page	King Faisal University
Google Scholar	View Google Scholar Profile

M. E. Seliaman Skills & Research Interests

Information Systems

Decision Support Systems

Supply chain Management

Operations management

Top articles of M. E. Seliaman

Title	Journal	Author(s)	Publication Date
SAUDI CONSUMERS CONTINUOUS INTENTION TOWARDS M-SHOPPING: A STRUCTURAL EQUATION MODEL	Journal of Research Administration	Hessah Naif Almugati Mohamed E Seliaman	2024/1/18
The Reasons for Physicians and Pharmacists’ Acceptance of Clinical Support Systems in Saudi Arabia	International Journal of Environmental Research and Public Health	Mohamed Elhassan Seliaman Mohammed Suliman Albahly	2023/2/10
Sustainable applications of smart-government services: A model to understand smart-government adoption	Sustainability	Ahmad Althunibat Muhammad Binsawad Mohammed Amin Almaiah Omar Almomani Adeeb Alsaaidah ...	2021/3/10
Investigating health-related features and their impact on the prediction of diabetes using machine learning	Applied Sciences	Hafiz Farooq Ahmad Hamid Mukhtar Hesham Alaqail Mohamed Seliaman Abdulaziz Alhumam	2021/1/27
An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs	Symmetry	Mohamed Seliaman Leopoldo Cárdenas-Barrón Sayeed Rushd	2020/12/3
Evaluation of the impact of clinical decision support systems: Descriptive analytics		Mohammed Suliman Albahly Mohamed E Seliaman	2020/10/13