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 published between 2009 and 2019 as indexed by the Scopus database.The sample represents contributions from 4342 authors, 3515 organizations, 89 countries, and 763 journals on this research topic. The sample was analysed with techniques such as bibliographic coupling, citation analysis, co-word analysis, and co-authorship analysis. Four major thematic areas in the extant literature emerged from the co-citation analysis. The thematic areas were inputs for strategic decision-making, concept development for big data analytics, trends in applications of big data analytics, and efficient supply chain management. The evolution of these thematic areas was documented with dynamic co-citation analysis. The results provide insights into the extant research on big data analytics and can guide future research efforts in this area.
The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among the general public, interactions among stakeholders in the healthcare ecosystem, hospital management practices, treatment of specific medical conditions, and technology in healthcare service delivery. This SLR recommends actionable future research agendas for scholars and valuable implications for theory and practice.
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