Silveira Gontijo, Tiago and Motta Alves, Fabiana Alexandra (2018): A BIBLIOMETRIC STUDY ON INDUSTRY 4.0. Published in: International Journal of Professional Business Review , Vol. 4, No. 2 (23 December 2019): pp. 35-42.
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Abstract
Understanding the scientific production evolution of a certain area of knowledge is fundamental to capture its development and facilitate its dissemination. Thus, this paper presents a bibliometric study on Industry 4.0. For that, the metadata of 1382 publications, which were published, between the years of 2013 and 2017, in vehicles indexed to the Web of Science are analyzed. The results found that the research on Industry 4.0 came from several countries and that Germany leads the ranking of country publications by having published 462 of the 1382 publications on Industry 4.0. It should be noted that currently the most recurring words in scientific publications on Industry 4.0 are: "big data"; "it was"; "Review"; "Opportunity" and "smart manufacturing", that is, they represent the trends and the main objects of interest on the topic today.
Item Type: | MPRA Paper |
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Original Title: | A BIBLIOMETRIC STUDY ON INDUSTRY 4.0 |
Language: | English |
Keywords: | Bibliometrics; Engineering; Industry 4.0; Data Science; IoT |
Subjects: | A - General Economics and Teaching > A1 - General Economics A - General Economics and Teaching > A2 - Economic Education and Teaching of Economics A - General Economics and Teaching > A3 - Collective Works I - Health, Education, and Welfare > I2 - Education and Research Institutions L - Industrial Organization > L0 - General L - Industrial Organization > L8 - Industry Studies: Services M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics |
Item ID: | 115925 |
Depositing User: | Dr. Tiago Silveira Gontijo |
Date Deposited: | 09 Jan 2023 15:41 |
Last Modified: | 09 Jan 2023 15:41 |
References: | Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. Černohous, J. (2017). Industry 4.0 from a Managerial Economics Point of View. Communication Today, 8(2), 173-174. Chen, B., Tsutsui, S., Ding, Y., & Ma, F. (2017). Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. Journal of Informetrics, 11(4), 1175-1189. Chiang, L., Lu, B., & Castillo, I. (2017). Big Data analytics in chemical engineering. Annual review of chemical and biomolecular engineering, 8, 63-85. da Costa, C. (2017). Indústria 4.0: o futuro da indústria nacional. POSGERE-Pós-Graduação em Revista/IFSP-Campus São Paulo, 1(4), 5-14. Hu, X., & Rousseau, R. (2016). Scientific influence is not always visible: The phenomenon of undercited influential publications. Journal of Informetrics, 10(4), 1079-1091. Jeschke, S., Brecher, C., Meisen, T., Özdemir, D., & Eschert, T. (2017). Industrial internet of things and cyber manufacturing systems. In Industrial Internet of Things (pp. 3-19). Springer, Cham. Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242. Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 3-8. Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyberphysical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. Li, X., Li, D., Wan, J., Vasilakos, A. V., Lai, C. F., & Wang, S. (2017). A review of industrial wireless networks in the context of industry 4.0. Wireless networks, 23(1), 23-41. Reuters, T. (2018) . ISI web of science. New York: Thomson Reuters. Roblek, V., Meško, M., & Krapež, A. (2016). A complex view of industry 4.0. Sage Open, 6(2), 2158244016653987. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9. Silva, V., Kovaleski, J., & Pagani, R. (2019). Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study. Future Studies Research Journal: Trends and Strategies, 11(1), 102-122. doi: https://doi.org/10.24023/FutureJournal/2175- 5825/2019.v11i1.369 Santos, I., Santos, R., & Silva Junior, D. (2019). Analysis of the Industry 4.0 How Breaking Element in Production Administration. Future Studies Research Journal: Trends and Strategies, 11(1), 48-64. doi: https://doi.org/10.24023/FutureJournal/2175- 5825/2019.v11i1.381 Shamim, S., Cang, S., Yu, H., & Li, Y. (2016, July). Management approaches for Industry 4.0: A human resource management perspective. In Evolutionary Computation (CEC), 2016 IEEE Congress on (pp. 5309-5316). IEEE. Vogel-Heuser, B., & Hess, D. (2016). Guest editorial Industry 4.0–prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13(2), 411-413. Wan, J., Tang, S., Li, D., Imran, M., Zhang, C., Liu, C., & Pang, Z. (2018). Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics. Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017). The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0. IEEE Industrial Electronics Magazine, 11(1), 17-27. Zhou, K., Liu, T., & Zhou, L. (2015, August). Industry 4.0: Towards future industrial opportunities and challenges. In Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on (pp. 2147-2152). IEEE. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/115925 |