Identification and Analysis of Key Factors Affecting Digital Transformation of Small and Medium-Sized Manufacturing Enterprises

The digital transformation of small and medium-sized manufacturing enterprises is influenced by various factors, and the relationship between them is not yet clear. Studying the factors that affect the digital transformation of small and medium-sized enterprises can promote the digital transformation process of small and medium-sized manufacturing enterprises. On the basis of summarizing literature and expert recommendations, this study identified the influencing factors in the digital transformation process of small and medium-sized manufacturing enterprises, and analyzed the key influencing factors using a combined method of DEMATEL-ISM-MICMAC (Decision-Making Test and Evaluation Laboratory-Interpretive Structural Model-Matrices Impacts Croises-Multiplication Appliance Classement). Research has found that digital policies, market demand, business model innovation, third-party data-driven services, and the digital foundation of enterprises are key factors in the process of digital transformation. In addition, the causal factors in the DEMATEL method, the essential factors in the ISM method analysis, and the independent factors in the MICMAC technique analysis can mutually support and complement each other. This study enriches the methodology for studying the factors of digital transformation and provides reference for the digital transformation of small and medium-sized manufacturing enterprises and government policy formulation.

Authors

Institutions

Publication Details

Journal
SAGE Open
Published
2024-10-01
DOI
https://doi.org/10.1177/21582440241279693
Citations
5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and Analysis of Key Factors Affecting Digital Transformation of Small and Medium-Sized Manufacturing Enterprises

Qingmei Chen, Jingjing Chen, Xiaoyong Lyu
5 citations
SAGE Open
Digital Transformation in Industry
1.74
article

Identification and Analysis of Key Factors Affecting Digital Transformation of Small and Medium-Sized Manufacturing Enterprises

Qingmei Chen, Jingjing Chen, Xiaoyong Lyu
article en
5 citations

Abstract

The digital transformation of small and medium-sized manufacturing enterprises is influenced by various factors, and the relationship between them is not yet clear. Studying the factors that affect the digital transformation of small and medium-sized enterprises can promote the digital transformation process of small and medium-sized manufacturing enterprises. On the basis of summarizing literature and expert recommendations, this study identified the influencing factors in the digital transformation process of small and medium-sized manufacturing enterprises, and analyzed the key influencing factors using a combined method of DEMATEL-ISM-MICMAC (Decision-Making Test and Evaluation Laboratory-Interpretive Structural Model-Matrices Impacts Croises-Multiplication Appliance Classement). Research has found that digital policies, market demand, business model innovation, third-party data-driven services, and the digital foundation of enterprises are key factors in the process of digital transformation. In addition, the causal factors in the DEMATEL method, the essential factors in the ISM method analysis, and the independent factors in the MICMAC technique analysis can mutually support and complement each other. This study enriches the methodology for studying the factors of digital transformation and provides reference for the digital transformation of small and medium-sized manufacturing enterprises and government policy formulation.

SAGE OpenVol. 14(4)
Hubei Academy of Environmental Sciences (CN)
Openalex Percentile: Top 14%
Digital Transformation in Industry
1.74
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.