A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

This study proposes a conceptual model for Sustainable Intelligent Systems (SIS) in Malaysian Micro, Small, and Medium Enterprises (MSMEs), aiming to integrate sustainability principles with intelligent technologies to enhance resilience, efficiency, and environmental responsibility. Grounded in the United Nations’ Sustainable Development Goal (SDG) 9: Industry, Innovation, and Infrastructure, the model supports sustainable industrialization and technological innovation within MSMEs. Using a comprehensive review of existing litera-ture, frameworks, and theories, the study identifies gaps in the adoption of intelligent technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics. The proposed model addresses barriers to technology adoption and emphasizes embedding sustainability into intelligent systems to optimize resource management, strengthen decision-making, and promote long-term competitiveness in the digital economy. This research offers strategic guidance for MSME owners, policymakers, and researchers, providing a roadmap for sustainable digital transformation. Future research is recommended to validate the model through empirical studies and real-world applica-tions. By bridging sustainability and intelligent technology adoption, the study contributes to the theoretical understanding of sustainable intelligent systems and delivers practical insights, reinforcing the role of SIS in driving economic growth, environmental stewardship, and innovation in Malaysia’s MSME sector.

Authors

Institutions

Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-06-21
DOI
https://doi.org/10.14419/7qbx1p19
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Mohd Zanes Sahid, M. B. Othman, Nur Ariffin Mohd Zin, Mohd Hamdi Irwan Hamzah et al.
International Journal of Basic and Applied Sciences
Economic and Technological Innovation
article

A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Mohd Zanes Sahid, M. B. Othman, Nur Ariffin Mohd Zin, Mohd Hamdi Irwan Hamzah, Mohamad Firdaus Ab. Aziz, Suhaimi Abd Ishak
article en

Abstract

This study proposes a conceptual model for Sustainable Intelligent Systems (SIS) in Malaysian Micro, Small, and Medium Enterprises (MSMEs), aiming to integrate sustainability principles with intelligent technologies to enhance resilience, efficiency, and environmental responsibility. Grounded in the United Nations’ Sustainable Development Goal (SDG) 9: Industry, Innovation, and Infrastructure, the model supports sustainable industrialization and technological innovation within MSMEs. Using a comprehensive review of existing litera-ture, frameworks, and theories, the study identifies gaps in the adoption of intelligent technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics. The proposed model addresses barriers to technology adoption and emphasizes embedding sustainability into intelligent systems to optimize resource management, strengthen decision-making, and promote long-term competitiveness in the digital economy. This research offers strategic guidance for MSME owners, policymakers, and researchers, providing a roadmap for sustainable digital transformation. Future research is recommended to validate the model through empirical studies and real-world applica-tions. By bridging sustainability and intelligent technology adoption, the study contributes to the theoretical understanding of sustainable intelligent systems and delivers practical insights, reinforcing the role of SIS in driving economic growth, environmental stewardship, and innovation in Malaysia’s MSME sector.

International Journal of Basic and Applied SciencesVol. 14(2)
Tun Hussein Onn University of Malaysia (MY)
Universiti Tun Hussein Onn Malaysia
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Economic and Technological Innovation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.