In search of the digital transformation framework of SMEs: a bibliometric analysis

Purpose This study aims to understand the intellectual structure related to the success of digital transformation among small and medium-sized enterprises (SMEs) and develop a conceptual framework for the successful digital transformation of SMEs. Design/methodology/approach This study employs bibliometric analysis for mapping the landscape of research on the digital transformation of SMEs. We use co-citation analysis to identify the root of emerging concepts in older literature and co-occurrence analysis to identify relevant topics discussed in the primary literature. Finally, based on the results of our bibliometric analysis, we constructed the structured framework for the digital transformation of SMEs. Findings This study found that dynamic capability, resource-based view (RBV) and technology acceptance model (TAM) are the main theories used to investigate digital transformation among SMEs. Those main theories were then operationalized into the various strategies needed for digital transformation among SMEs. Based on those findings, we have proposed a conceptual digital transformation framework for SMEs. Originality/value We propose a structured SME digital transformation framework based on the leading theory proposed by the most cited articles and significant research findings from the primary literature. Information systems, entrepreneurship and SME researchers could use conceptual frameworks for further investigation.

Authors

Publication Details

Journal
Journal of Entrepreneurship and Public Policy
Published
2025-05-20
DOI
https://doi.org/10.1108/jepp-09-2024-0160
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In search of the digital transformation framework of SMEs: a bibliometric analysis

Rangga Restu Prayogo, Dedy Husrizal Syah, Gaffar Hafiz Sagala, Muhammad Masyhuri et al.
2 citations
Journal of Entrepreneurship and Public Policy
Digital Transformation in Industry
2.48
article

In search of the digital transformation framework of SMEs: a bibliometric analysis

Rangga Restu Prayogo, Dedy Husrizal Syah, Gaffar Hafiz Sagala, Muhammad Masyhuri, Yanuar Nugroho
article en
2 citations

Abstract

Purpose This study aims to understand the intellectual structure related to the success of digital transformation among small and medium-sized enterprises (SMEs) and develop a conceptual framework for the successful digital transformation of SMEs. Design/methodology/approach This study employs bibliometric analysis for mapping the landscape of research on the digital transformation of SMEs. We use co-citation analysis to identify the root of emerging concepts in older literature and co-occurrence analysis to identify relevant topics discussed in the primary literature. Finally, based on the results of our bibliometric analysis, we constructed the structured framework for the digital transformation of SMEs. Findings This study found that dynamic capability, resource-based view (RBV) and technology acceptance model (TAM) are the main theories used to investigate digital transformation among SMEs. Those main theories were then operationalized into the various strategies needed for digital transformation among SMEs. Based on those findings, we have proposed a conceptual digital transformation framework for SMEs. Originality/value We propose a structured SME digital transformation framework based on the leading theory proposed by the most cited articles and significant research findings from the primary literature. Information systems, entrepreneurship and SME researchers could use conceptual frameworks for further investigation.

Journal of Entrepreneurship and Public Policy
Openalex Percentile: Top 11%
Digital Transformation in Industry
2.48
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.