UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs

This study provides a systematic review of the literature on the operationalization of artificial intelligence (AI) within small and medium-sized enterprises (SMEs), aiming to develop an integrated conceptual framework for understanding AI adoption. The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively. AI adoption yields diverse outcomes, including enhanced operational efficiency, improved customer engagement, and greater innovation, but these vary based on industry, firm size, and resource capacity. The study emphasizes that AI is not a unitary concept but a multi-dimensional construct, with operationalization requiring alignment with organizational dynamic capabilities. This review offers a framework for understanding AI adoption, helping to bridge fragmented findings in the literature.

Authors

Institutions

Publication Details

Journal
Uluslararası Anadolu Sosyal Bilimler Dergisi
Published
2024-12-10
DOI
https://doi.org/10.47525/ulasbid.1572700
Citations
7
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
3.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs

Ayça Kubra Hizarci‐Payne, Gülüzar Kurt Gümüş, Özge Özgen, Alara Tarier
7 citations
Uluslararası Anadolu Sosyal Bilimler Dergisi
Big Data and Business Intelligence
3.70
article

UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs

Ayça Kubra Hizarci‐Payne, Gülüzar Kurt Gümüş, Özge Özgen, Alara Tarier
article en
7 citations

Abstract

This study provides a systematic review of the literature on the operationalization of artificial intelligence (AI) within small and medium-sized enterprises (SMEs), aiming to develop an integrated conceptual framework for understanding AI adoption. The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively. AI adoption yields diverse outcomes, including enhanced operational efficiency, improved customer engagement, and greater innovation, but these vary based on industry, firm size, and resource capacity. The study emphasizes that AI is not a unitary concept but a multi-dimensional construct, with operationalization requiring alignment with organizational dynamic capabilities. This review offers a framework for understanding AI adoption, helping to bridge fragmented findings in the literature.

Uluslararası Anadolu Sosyal Bilimler DergisiVol. 8(4)
Dokuz Eylül Üniversitesi Hastanesi (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Big Data and Business Intelligence
3.70
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.