Analysis of Key Factors Affecting the Digital Transformation of Small and Medium-Sized Manufacturing Enterprises in China

This study evaluates the factors influencing the digital transformation of small- and medium-sized manufacturing enterprises (SMMEs) in China, introducing a hybrid evaluation framework that integrates multiple dimensions through the Grey-DANP method. Unlike previous descriptive studies, this research quantifies factor weights and maps their interrelationships across economic, environmental, socio-cultural, personal, and technological dimensions. The empirical analysis identifies five key determinants: talent team, internal organizational change, employee work style, digital infrastructure, and business model innovation. The findings reveal that economic and socio-cultural factors initiate transformation, while technological and environmental factors serve as crucial implementation channels. Successful digital transformation requires balancing internal capabilities with external support measures. This study provides practical management recommendations, including establishing cross-functional digital transformation teams, implementing phased digital upgrades, investing in talent and technology development, and creating robust evaluation and risk mitigation systems. The framework contributes to existing literature by offering both theoretical insights and actionable guidelines for resource-constrained SMMEs, bridging the gap between academic research and practical implementation.

Authors

Institutions

Publication Details

Journal
SAGE Open
Published
2025-04-01
DOI
https://doi.org/10.1177/21582440251336077
Citations
5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
6.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Key Factors Affecting the Digital Transformation of Small and Medium-Sized Manufacturing Enterprises in China

Qigan Shao, James J.H. Liou, Gwo‐Hshiung Tzeng, Jiaxin Lin et al.
5 citations
SAGE Open
Digital Transformation in Industry
6.21
article

Analysis of Key Factors Affecting the Digital Transformation of Small and Medium-Sized Manufacturing Enterprises in China

Qigan Shao, James J.H. Liou, Gwo‐Hshiung Tzeng, Jiaxin Lin, Dan Zhu
article en
5 citations

Abstract

This study evaluates the factors influencing the digital transformation of small- and medium-sized manufacturing enterprises (SMMEs) in China, introducing a hybrid evaluation framework that integrates multiple dimensions through the Grey-DANP method. Unlike previous descriptive studies, this research quantifies factor weights and maps their interrelationships across economic, environmental, socio-cultural, personal, and technological dimensions. The empirical analysis identifies five key determinants: talent team, internal organizational change, employee work style, digital infrastructure, and business model innovation. The findings reveal that economic and socio-cultural factors initiate transformation, while technological and environmental factors serve as crucial implementation channels. Successful digital transformation requires balancing internal capabilities with external support measures. This study provides practical management recommendations, including establishing cross-functional digital transformation teams, implementing phased digital upgrades, investing in talent and technology development, and creating robust evaluation and risk mitigation systems. The framework contributes to existing literature by offering both theoretical insights and actionable guidelines for resource-constrained SMMEs, bridging the gap between academic research and practical implementation.

SAGE OpenVol. 15(2)
National Taipei University of Technology (TW), Xiamen University of Technology (CN), National Taipei University (TW)
Openalex Percentile: Top 4%
Digital Transformation in Industry
6.21
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.