Artículo

Industry 4.0: A Bibliometric Analysis in the Perspective of Operations Management

Resumen

This study aims to analyse the literature regarding the characteristics of Industry 4.0 in the context of operations management. The analysis covers the evolution of publications over time, the countries involved, the most prolific journals, the most cited authors, and the identification of the most frequent words that can generate insights for the research agenda. A total of 235 articles published between 2011 and 2017 were collected through an automated process from the Scopus and Web of Science databases and later analysed using data mining, bibliometric indicators analysis, clusters analysis, networks analysis, and word cloud. The bibliographic analysis explained the interaction between the various concepts and techniques associated with the central theme. These concepts and respective characteristics discussed allow an understanding and the development of agenda with theoretical possibilities to fill current research gaps.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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