A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Mohd Hamdi Irwan Hamzah; Muhammad Fakri Othman; Nur Ariffin Mohd Zin; Mohd Zanes Sahid; Mohamad Firdaus Ab. Aziz; Suhaimi Abd Ishak

doi:10.14419/7qbx1p19

Article Details

A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Authors:

Mohd Hamdi Irwan Hamzah | Muhammad Fakri Othman | Nur Ariffin Mohd Zin | Mohd Zanes Sahid | Mohamad Firdaus Ab. Aziz | Suhaimi Abd Ishak

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 2, pp.288-295

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001387209

pISSN:

2227-5053

DOI:

10.14419/7qbx1p19

Keywords:

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.

Article Details

A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Authors:

Mohd Hamdi Irwan Hamzah | Muhammad Fakri Othman | Nur Ariffin Mohd Zin | Mohd Zanes Sahid | Mohamad Firdaus Ab. Aziz | Suhaimi Abd Ishak

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 2, pp.288-295

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001387209

pISSN:

2227-5053

DOI:

10.14419/7qbx1p19

Artificial Intelligence

Digital Transformation

Conceptual Model

MSMEs

Sustainable Development Goal (SDG 9)

Sustainable Intelligent Systems

Issues

Article Details

A Conceptual Model for Sustainable Intelligent Systems in Malaysian MSMEs

Authors: Mohd Hamdi Irwan Hamzah | Muhammad Fakri Othman | Nur Ariffin Mohd Zin | Mohd Zanes Sahid | Mohamad Firdaus Ab. Aziz | Suhaimi Abd Ishak

Publisher: Science Publishing Corporation

Journal: International Journal of Basic and Applied Sciences Vol.14 Issue 2, pp.288-295

Document Type: Article

Publication Date: 6/2025

Document Language: English

Document ID (Org No.): 2001387209

pISSN: 2227-5053

DOI: 10.14419/7qbx1p19

Artificial Intelligence

Digital Transformation

Conceptual Model

MSMEs

Sustainable Development Goal (SDG 9)

Sustainable Intelligent Systems

Issues

Authors:

Mohd Hamdi Irwan Hamzah | Muhammad Fakri Othman | Nur Ariffin Mohd Zin | Mohd Zanes Sahid | Mohamad Firdaus Ab. Aziz | Suhaimi Abd Ishak

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 2, pp.288-295

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001387209

pISSN:

2227-5053

DOI:

10.14419/7qbx1p19