期刊
ENTERPRISE INFORMATION SYSTEMS
卷 14, 期 6, 页码 737-768出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17517575.2020.1734241
关键词
bibliometric analysis; big data analytics; content analysis; predictive analytics; network analysis; prestige analysis
资金
- Academy of Finland [292448, 326066, 334595]
- Academy of Finland (AKA) [326066, 334595] Funding Source: Academy of Finland (AKA)
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.
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