Challenges and opportunities in AI and digital transformation for SMEs: A cross-continental perspective

透视图(图形) 转化(遗传学) 数字化转型 数据科学 业务 计算机科学 万维网 化学 人工智能 生物化学 基因
作者
Samuel Omokhafe Yusuf,Remilekun Lilian Durodola,Godbless Ocran,Justina Eweala Abubakar,Amarachi Zita Echere,Adedamola Hadassah Paul-Adeleye
出处
期刊:World Journal Of Advanced Research and Reviews [GSC Online Press]
卷期号:23 (3): 668-678
标识
DOI:10.30574/wjarr.2024.23.3.2511
摘要

This study examines the impact of AI and digital transformation on Small and Medium-sized Enterprises (SMEs) across continents. As AI and digital technologies increasingly reshape global business landscapes, SMEs face unique challenges and opportunities distinct from those of larger corporations. This research systematically reviews existing literature, guided by the PRISMA framework, to identify the barriers and enablers of AI adoption in SMEs across these diverse regions. The study identifies key challenges, including limited financial resources, lack of skilled personnel, data security concerns, and organizational resistance to change. These barriers vary across continents; for instance, African SMEs often struggle with the high costs of AI implementation and lack of resources and expertise, while European SMEs face stringent regulatory challenges and a lack of infrastructure and finances. In contrast, Asian SMEs, particularly in developing countries, grapple with sustainability and sustainable regulatory and cultural barriers. However, it's important to note that the potential of AI to enhance operations and customer engagement is a universally recognized benefit. Europe emphasizes risk management and automation, while Africa and Asia highlight cost reduction, market expansion, and scalability, reflecting their unique regional priorities and challenges. The study concludes that while AI adoption presents considerable growth potential for SMEs globally, the path to realizing these opportunities is shaped by regional contexts. The research underscores the need for tailored policy interventions, capacity-building initiatives, and cross-border collaborations to support SMEs in overcoming these barriers and fully leveraging AI technologies. This work contributes to understanding digital transformation in SMEs, providing practical insights for policymakers, industry leaders, and academics interested in the intersection of AI and business strategy across different continents.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
文静人达发布了新的文献求助10
1秒前
dasd2发布了新的文献求助30
2秒前
4秒前
5秒前
6秒前
7秒前
7秒前
夏奇杨完成签到,获得积分10
7秒前
8秒前
李冰发布了新的文献求助10
8秒前
MQhhh发布了新的文献求助10
8秒前
上官若男应助Nox采纳,获得10
9秒前
9秒前
MT完成签到,获得积分10
10秒前
虚幻雁荷完成签到 ,获得积分10
11秒前
亦然发布了新的文献求助10
12秒前
12秒前
gaolina0114关注了科研通微信公众号
12秒前
lw777发布了新的文献求助10
12秒前
贪玩的秋柔应助谢紫玲采纳,获得20
13秒前
kaojirayu应助安安爱阎魔采纳,获得10
13秒前
pentjy发布了新的文献求助10
13秒前
鱼与树完成签到,获得积分10
13秒前
大模型应助九月采纳,获得10
16秒前
Bannie1124完成签到,获得积分10
16秒前
17秒前
x1aomaxx发布了新的文献求助30
17秒前
kks569发布了新的文献求助10
18秒前
19秒前
领导范儿应助跳跃的邪欢采纳,获得10
23秒前
亦然完成签到,获得积分20
23秒前
CodeCraft应助酸奶七采纳,获得10
23秒前
Bannie1124发布了新的文献求助10
24秒前
24秒前
24秒前
lw777完成签到,获得积分10
25秒前
Aaaapear完成签到,获得积分10
25秒前
FashionBoy应助小禾一定行采纳,获得10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356771
求助须知:如何正确求助?哪些是违规求助? 8171470
关于积分的说明 17204729
捐赠科研通 5412588
什么是DOI,文献DOI怎么找? 2864711
邀请新用户注册赠送积分活动 1842216
关于科研通互助平台的介绍 1690424