The Interplay Between Social Science and Big Data Research: A Bibliometric Review of the Journal Big Data and Society, 2014–2021
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29857-8_11
Reference20 articles.
1. Zhang, Y.Y., Zhang, N.: Sustainable supply chain management under big data: a bibliometric analysis. J. Enterp. Inf. 34(1), 427–445 (2021)
2. Pappas, I.O., Mikalef, P., Giannakos, M.N., Krogstie, J., Lekakos, G.: Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. IseB 16(3), 479–491 (2018). https://doi.org/10.1007/s10257-018-0377-z
3. Sivarajah, U., Kamal, M.M., Irani, Z., Weerakkody, V.: Critical analysis of big data challenges and analytical methods. J. Bus. Res. 70(1), 263–286 (2017)
4. Liu, X., Sun, R., Wang, S., Wu, Y.J.: The research landscape of big data: a bibliometric analysis. Libr. Hi Tech 38(2), 367–384 (2019)
5. Zhang, Y., Huang, Y., Porter, A.L., Zhang, G., Lu, J.: Discovering and forecasting interactions in big data research: a learning-enhanced bibliometric study. Technol. Forecast. Soc. Change 146(5), 795–807 (2019)
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