Published December 1, 2025 | Version v1

A Bibliometric Study of SMEs' Digital Transformation Patterns in The Decade of Industry 4.0 Integration

  • 1. Research Center for Macroeconomics and Finance, National Research and Innovation Agency, Indonesia
  • 2. Research Center for Behavioral and Circular Economics, National Research and Innovation Agency, Indonesia

Contributors

Contact person:

  • 1. Research Center for Macroeconomics and Finance, National Research and Innovation Agency, Indonesia

Description

Small and Medium Enterprises (SMEs) play a crucial role in contributing to global GDP, particularly in developing countries like Indonesia, where SMEs account for 61% of the total GDP. Despite their significance, SMEs face several challenges, including a slowdown in growth caused by the COVID-19 pandemic, intense competition among producers, and limited adoption of e-based solutions. Therefore, the adoption of digital technologies has become essential to enhance SMEs' productivity and performance. Despite the burgeoning systematic literature review on digital transformation and Industry 4.0, it predominantly focuses on large enterprises and often overlooks the strategic responses of SMEs. This study offers a novel bibliometric synthesis that not only maps the intellectual landscape of SMEs' digital transformation but also concentrates exclusively on the digital transformation of SMEs that is directly aligned with the core pillars of Industry 4.0. Using 510 articles retrieved from Scopus and analyzed with VOSviewer and R Studio software, the findings reveal five key clusters addressed by SMEs over the past decade. These five clusters are business model and competitive advantage; business performance and digital marketing; digital entrepreneurship and digital innovation; business model innovation; and big data.

Notes

Published in Evergreen, Volume 12, Issue 04. Citation formats available via DOI link.

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Related works

Is identical to
Journal article: 10.5109/7402635 (DOI)
Is supplemented by
Other: https://citation.crossref.org/?doi=10.5109/7402635 (URL)