Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy

Lorenzo Ardito, Roberto Cerchione, Erica Mazzola, Elisabetta Raguseo · 2021 · Journal of Knowledge Management

Summary. This systematic literature review examines Industry 4.0 digital transformation through a knowledge management lens, using absorptive capacity theory and the data-information-knowledge hierarchy. Analyzing 150 papers, the authors find that big data analytics receives the most research attention across all phases of knowledge acquisition and use, while internet of things technology is explored primarily for data collection. Cybersecurity and smart manufacturing remain understudied despite their relevance to digital transitions.

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@article{ardito-2021-industry-4-0-transition-systematic,
  title   = {Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy},
  author  = {Lorenzo Ardito and Roberto Cerchione and Erica Mazzola and Elisabetta Raguseo},
  journal = {Journal of Knowledge Management},
  year    = {2021},
  doi     = {10.1108/jkm-04-2021-0325},
  url     = {https://doi.org/10.1108/jkm-04-2021-0325}
}

TY  - JOUR
TI  - Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
AU  - Lorenzo Ardito
AU  - Roberto Cerchione
AU  - Erica Mazzola
AU  - Elisabetta Raguseo
JO  - Journal of Knowledge Management
PY  - 2021
DO  - 10.1108/jkm-04-2021-0325
UR  - https://doi.org/10.1108/jkm-04-2021-0325
ER  - 

Details

DOI

10.1108/jkm-04-2021-0325

Countries

Italy

Regions

Europe

Categories

innovation-theory, broadband-and-digital, general-innovation

Added

2026-04-28