Mapping the Intellectual Landscape of Digital Transformation in Manufacturing: A Bibliometric Analysis

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Authors: Sheng Jiang
Cited by: 0
References: 11

Abstract

Driven by advanced manufacturing technologies (AMTs) and the evolving frameworks of Industry 4.0 and Industry 5.0, the manufacturing sector is experiencing a swift digital transformation. Despite significant growth in related research, a comprehensive synthesis of its intellectual landscape is still lacking. To address this gap, the present study applies a large–scale bibliometric approach, analysing 4,949 peer–reviewed articles from the Web of Science Core Collection with the aid of CiteSpace, HistCite, and VOSviewer, aiming to delineate research trends, thematic groupings, and collaboration patterns. The results show a sharp increase in publications after 2017, with growing attention to cyber–physical systems, digital supply networks, servitisation, and sustainability. Co–citation and keyword analyses reveal a shift from technology–focused studies toward integrated, human–centric, and value–oriented digital strategies. The analysis further highlights fragmented collaboration patterns and underexplored thematic linkages, indicating opportunities for interdisciplinary and international research. Overall, this study provides a structured, data–driven overview of the field and offers insights to support both future research and managerial decision–making in manufacturing digital transformation.

Fields of Study & Subjects

Digital Transformation in Industry Impact of AI and Big Data on Business and Society Digital Innovation in Industries

Publication details

Journal / source
European Journal of Engineering and Technologies
Volume
2
Issue
1
Pages
22–45
Publication date
17 January 2026
Language
EN