Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review

The growth of the world is incredibly reliant on small and medium-sized enterprises (SMEs) that promote innovation. SMEs are also challenged by a shortage of resources, stiff competition and intricate market environments. To a greater extent, they are surmounting these hurdles by using Artificial In...

Full description

Bibliographic Details
Main Authors: Ankita, Singh A, G.P., Sahu B
Format: Article
Language:English
English
Published: INTI International University 2025
Subjects:
Online Access:http://eprints.intimal.edu.my/2167/
http://eprints.intimal.edu.my/2167/1/jobss2025_3.pdf
http://eprints.intimal.edu.my/2167/3/714
_version_ 1848766982663438336
author Ankita, Singh A
G.P., Sahu B
author_facet Ankita, Singh A
G.P., Sahu B
author_sort Ankita, Singh A
building INTI Institutional Repository
collection Online Access
description The growth of the world is incredibly reliant on small and medium-sized enterprises (SMEs) that promote innovation. SMEs are also challenged by a shortage of resources, stiff competition and intricate market environments. To a greater extent, they are surmounting these hurdles by using Artificial Intelligence (AI) and Machine Learning (ML) technologies to streamline the work of laborers, make better decisions and enrich customer experience. The research on how AI and ML integrate in SMEs and their effects on business performance will be explored. The body of the present study relied on a systematic literature review methodology designed to estimate the advantages, constraints, and use of AI and ML in 4 major business areas: supply chain management, marketing, finance, and customer service, and ethical and social implications. The moral and social impacts of all the above can be mentioned regarding how AI and ML contribute to SMEs' competitiveness and sustainability. With the help of successful case studies and the results of the literature research, this paper reveals how AI and ML promote innovation and sustainable growth. Despite the numerous advantages, barriers including technological ignorance, costly implementation, and privacy and protection of information are challenges impeding the SMEs. To eliminate such problems, the paper gives great attention to cooperation with the providers of technology, personnel education, and attention to data security. The study is part of the literature about AI and ML implementation within the SME sector since it specifies the key strategies to succeed in any competitive environment
first_indexed 2025-11-14T11:59:48Z
format Article
id intimal-2167
institution INTI International University
institution_category Local University
language English
English
last_indexed 2025-11-14T11:59:48Z
publishDate 2025
publisher INTI International University
recordtype eprints
repository_type Digital Repository
spelling intimal-21672025-08-22T10:05:12Z http://eprints.intimal.edu.my/2167/ Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review Ankita, Singh A G.P., Sahu B H Social Sciences (General) HD Industries. Land use. Labor HD28 Management. Industrial Management The growth of the world is incredibly reliant on small and medium-sized enterprises (SMEs) that promote innovation. SMEs are also challenged by a shortage of resources, stiff competition and intricate market environments. To a greater extent, they are surmounting these hurdles by using Artificial Intelligence (AI) and Machine Learning (ML) technologies to streamline the work of laborers, make better decisions and enrich customer experience. The research on how AI and ML integrate in SMEs and their effects on business performance will be explored. The body of the present study relied on a systematic literature review methodology designed to estimate the advantages, constraints, and use of AI and ML in 4 major business areas: supply chain management, marketing, finance, and customer service, and ethical and social implications. The moral and social impacts of all the above can be mentioned regarding how AI and ML contribute to SMEs' competitiveness and sustainability. With the help of successful case studies and the results of the literature research, this paper reveals how AI and ML promote innovation and sustainable growth. Despite the numerous advantages, barriers including technological ignorance, costly implementation, and privacy and protection of information are challenges impeding the SMEs. To eliminate such problems, the paper gives great attention to cooperation with the providers of technology, personnel education, and attention to data security. The study is part of the literature about AI and ML implementation within the SME sector since it specifies the key strategies to succeed in any competitive environment INTI International University 2025-08 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2167/1/jobss2025_3.pdf text en cc_by_4 http://eprints.intimal.edu.my/2167/3/714 Ankita, Singh A and G.P., Sahu B (2025) Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review. Journal of Business and Social Sciences, 2025 (03). pp. 1-14. ISSN 2805-5187 http://ipublishing.intimal.edu.my/jobss.html
spellingShingle H Social Sciences (General)
HD Industries. Land use. Labor
HD28 Management. Industrial Management
Ankita, Singh A
G.P., Sahu B
Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title_full Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title_fullStr Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title_full_unstemmed Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title_short Small and Medium Enterprises & Artificial Intelligence: A Systematic Literature Review
title_sort small and medium enterprises & artificial intelligence: a systematic literature review
topic H Social Sciences (General)
HD Industries. Land use. Labor
HD28 Management. Industrial Management
url http://eprints.intimal.edu.my/2167/
http://eprints.intimal.edu.my/2167/
http://eprints.intimal.edu.my/2167/1/jobss2025_3.pdf
http://eprints.intimal.edu.my/2167/3/714