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

ABSTRACT

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.

KEYWORDS:

• bibliometric analysis
• big data analytics
• content analysis
• predictive analytics
• network analysis
• prestige analysis

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Academy of Finland [292448,326066,334595].