Industry 4.0 whithin Innovation: Bibliometric Analysis


análisis bibliométrico
industria 4.0
internet de las cosas
desarrollo sustentable
innovación tecnológica
Web of Science
revisión bibliográfica
revisión de la literatura bibliometric analysis
industry 4.0
internet of things
sustainable development
technological innovation
Web of Science
literature review
Bibliographic review

How to Cite

Salazar-Velázquez, R., & Mejía-Trejo, J. (2021). Industry 4.0 whithin Innovation: Bibliometric Analysis. Nova Scientia, 13(27).



Introduction: the purpose of this research is to analyze the relationships and growth trends of Industry 4.0 within the global universe of current literature on innovation, limited to the subject area of business, administration, and accounting by means of a bibliometric analysis.

Method: Scopus is used as a database for the analysis of 513 documents for the period from 1998 to 2021. VOS viewer was used for processing Scopus database and elaboration of figures representing the relationships between samples.               

Results: the number of documents is exponentially growing, starting with a trend in 2017 and increasing ever since. The most dynamic source is Technological Forecasting And Social Change. The author with most documents is Voight, K. L. with 10, and the most distinguished institution is the University of Johannesburg with 14 documents. The country with more documents is Italy, with 69. According to the database 69 % of the total documents are articles and 23,4 % are conference papers. The number of documents in the area of Business, Management and Accounting, with 513 documents, exceeds by far any other area, representing 42 % of all documents. The funding sponsor with more documents is the National Natural Science Foundations of China with 13 documents. Some of the most updated organizations are Department of Mechanical & Industrial Engineering, The center for digital labor markets. The country with more documents is United Kingdom with 50 documents and 584 citations, followed by United States with 1110 citations. United States has mainly bonds with China, Australia, United Kingdom, Germany and Italy. United Kingdom has mainly bonds with France, Italy, Germany and United States. China’s main relations are Australia, United States, Pakistan, Taiwan, Turkey, Brazil and South Korea. Italy’s main bonds are France, Spain, Brazil, Russian Federation, United Kingdom, Austria and Portugal. It could be determined that countries are mostly grouped in 6 clusters.

Conclusion: Although there are not many publications yet, it can be inferred that the term industry 4.0 within the available literature of innovation will keep increasing exponentially over time reinforcing relations between authors, institutions and countries. Based on the current state of literature, the subject area of business, management, and accounting will keep on being the one that encompasses most of the available documents.


Ibarra, D., Ganzarain, J., & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4-10.

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6).

Müller, J. M., & Däschle, S. (2018). Business model innovation of industry 4.0 solution providers towards customer process innovation. Processes, 6(12), 260.

OECD., Development (Paris). Organisation de coopération et de développement économiques (Paris), Statistical Office of the European Communities, Development. Development Centre, & Society for International Development. (2005). Oslo manual: Guidelines for collecting and interpreting innovation data (No. 4). Org. for Economic Cooperation & Development.

OECD Publishing. (2018). Oslo Manual 2018: Guidelines for collecting, reporting, and using data on innovation. Organisation for Economic Co-operation and Development OECD.

Lin, K. C., Shyu, J. Z., & Ding, K. (2017). A cross-strait comparison of innovation policy under industry 4.0 and sustainability development transition. Sustainability, 9(5), 786.

Velásquez, N., Estevez, E., & Pesado, P. (2019, April). Methodological Framework Based on Digital Technologies for the Implementation of Industry 4.0 in SMEs. In 2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG) (pp. 371-374). IEEE. 10.1109/ICEDEG.2019.8734282

Baygin, M., Yetis, H., Karakose, M., & Akin, E. (2016, September). An effect analysis of industry 4.0 to higher education. In 2016 15th international conference on information technology based higher education and training (ITHET) (pp. 1-4). IEEE. 10.1109/ITHET.2016.7760744

Glistau, E., & Coello Machado, N. I. (2018). Industry 4.0, Logistics 4.0 and materials-chances and solutions. In Materials Science Forum (Vol. 919, pp. 307-314). Trans Tech Publications Ltd.

Hewson, C., & Stewart, D. W. (2014). Internet research methods. Wiley StatsRef: Statistics reference online, 1-6.

Wren, J. D. (2005). Open access and openly accessible: a study of scientific publications shared via the internet. BMJ, 330(7500), 1128.

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213-228.

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377-386.

Godin, B. (2006). On the origins of bibliometrics. Scientometrics, 68(1), 109-133.

Leydesdorff, L., & Milojević, S. (2012). Scientometrics. arXiv preprint arXiv:1208.4566.

Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. 10.1007/s11192-009-0146-3

Hitpass, B., & Astudillo, H. (2019). Industry 4.0 challenges for business process management and electronic-commerce. Journal of theoretical and applied electronic commerce research, 14(1), I-III.

Pereira, A. C., & Romero, F. (2017). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206-1214.

Baygin, M., Yetis, H., Karakose, M., & Akin, E. (2016, September). An effect analysis of industry 4.0 to higher education. In 2016 15th international conference on information technology based higher education and training (ITHET) (pp. 1-4). IEEE. 10.1109/ITHET.2016.7760744

Agolla, J. E. (2018). Human capital in the smart manufacturing and industry 4.0 revolution. Digital transformation in smart manufacturing, 41-58.

Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179.

Masood, T., & Sonntag, P. (2020). Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry, 121, 103261.

Schröder, C. (2016). The challenges of industry 4.0 for small and medium-sized enterprises. Retrieved April 24, 2020, from

Alaloul, W. S., Liew, M. S., Zawawi, N. A. W. A., & Kennedy, I. B. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain shams engineering journal, 11(1), 225-230.

Bornmann, L., & Leydesdorff, L. (2014). Scientometrics in a changing research landscape: bibliometrics has become an integral part of research quality evaluation and has been changing the practice of research. EMBO reports, 15(12), 1228-1232.

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127-182.

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