Big data analytics and enterprises: a bibliometric synthesis of the literature

: Sayantan Khanra, Amandeep Dhir, Matti Mäntymäki

Publisher: Taylor & Francis

: 2020

: Enterprise Information Systems

: ENTERPRISE INFORMATION SYSTEMS

: ENTERP INF SYST-UK

: 14

: 6

: 32

: 1751-7575

: 1751-7583

DOI: https://doi.org/10.1080/17517575.2020.1734241

: https://lutpub.lut.fi/bitstream/10024/160875/1/khanra_et_al_big_data_analytics_am.pdf

Understanding the developmental trajectories of big data analytics in the corporate context is highly relevant for information systems research and practice. This study presents a comprehensive bibliometric analysis of applications of big data analytics in enterprises. The sample for this study contained a total of 1727 articles from the Scopus database. The sample was analyzed with techniques such as bibliographic coupling, citation analysis, co-word analysis, and co-authorship analysis. Findings from the co-citation analysis identified four major thematic areas in the extant literature. The evolution of these thematic areas was documented with dynamic co-citation analysis.