Investigating the Challenges and Opportunities of Implementing AI and Automation in Small Businesses

As artificial intelligence coupled with digital technologies vehemently redesigns the global business environment, small businesses experience unique opportunities and challenges different from those of bigger enterprises. Adopting the PRISMA guideline, this study systematically reviews the available literature to highlight the enablers and barriers of adopting automation and artificial intelligence in small enterprises. The findings of this study include key barriers such as organizational rigidity to change, insufficient financial resources and insufficient skilled personnel, among others. Although these challenges may sound extreme, it is essential to note that the potential of AI and its tools to improve customer engagement and operations is a globally acknowledged benefit. This study also found that these opportunities and challenges are diverse across the world, with each region experiencing its obstacles. This study concludes that although the implementation of AI and automation bears undeniable growth opportunities for small businesses globally, it also presents several challenges which call for multidimensional solutions and cross-border collaborations to help these firms overcome these challenges and cultivate potential opportunities. This research contributes to comprehending the digital evolution of small businesses, offering insights that can be useful to policymakers, industry leaders, and scholars who are interested in the relationship between digital technologies and businesses across the world’s regions. The purpose of this research is to evaluate this existing gap by spotlighting the very available opportunities for artificial intelligence and automation in these small-scale businesses, discussing their challenges and benefits and addressing their effect on business processes.

Authors

Publication Details

Journal
Intelligent Control and Automation
Published
2025-01-01
DOI
https://doi.org/10.4236/ica.2025.162003
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Challenges and Opportunities of Implementing AI and Automation in Small Businesses

Benjamin Kwame Amponsah, Manso Frimpong, Setor Yaw Adanuvor, Regina Buame et al.
Intelligent Control and Automation
Big Data and Business Intelligence
article

Investigating the Challenges and Opportunities of Implementing AI and Automation in Small Businesses

Benjamin Kwame Amponsah, Manso Frimpong, Setor Yaw Adanuvor, Regina Buame, Edmond Osei Arhin
article en

Abstract

As artificial intelligence coupled with digital technologies vehemently redesigns the global business environment, small businesses experience unique opportunities and challenges different from those of bigger enterprises. Adopting the PRISMA guideline, this study systematically reviews the available literature to highlight the enablers and barriers of adopting automation and artificial intelligence in small enterprises. The findings of this study include key barriers such as organizational rigidity to change, insufficient financial resources and insufficient skilled personnel, among others. Although these challenges may sound extreme, it is essential to note that the potential of AI and its tools to improve customer engagement and operations is a globally acknowledged benefit. This study also found that these opportunities and challenges are diverse across the world, with each region experiencing its obstacles. This study concludes that although the implementation of AI and automation bears undeniable growth opportunities for small businesses globally, it also presents several challenges which call for multidimensional solutions and cross-border collaborations to help these firms overcome these challenges and cultivate potential opportunities. This research contributes to comprehending the digital evolution of small businesses, offering insights that can be useful to policymakers, industry leaders, and scholars who are interested in the relationship between digital technologies and businesses across the world’s regions. The purpose of this research is to evaluate this existing gap by spotlighting the very available opportunities for artificial intelligence and automation in these small-scale businesses, discussing their challenges and benefits and addressing their effect on business processes.

Intelligent Control and AutomationVol. 16(02)
Decent work and economic growth
Openalex Percentile: Top 73%
Big Data and Business Intelligence
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.