Mapping the Global Trends and Thematic Evolution of Big Data Analytics Capabilities Research: A Bibliometric Review
Keywords:
Bibliometric analysis, big data analytics, big data analytics capabilities, data-driven culture
Abstract
The objective of the paper is to explore and analyze global research trends, influential works, and key themes in Big Data Analytics Capabilities (BDAC) and to identify the most active authors, institutions, countries, and journals contributing to the field. Adopting bibliometric tools such as Bibliomagika, OpenRefine, VOSviewer, and Biblioshiny, this study used a bibliometric approach to collect 281 journal articles, conference papers, book chapters, reviews, and other document types from the Scopus database. By cleansing the data beforehand, this ensures the accuracy and reliability of subsequent analyses, enabling researchers to derive meaningful insights with confidence. The results clearly show a steady growth in BDAC-related publications over the past five years (2020–2024). This trajectory reflects the increasing scholarly interest and recognition of BDAC as a crucial organizational capability, especially in the context of digital transformation and firm performance. The findings revealed thematic cluster analyses that uncovered five dominant research themes. firm performance and decision-making, sustainability and green supply chains and green innovation, business model innovation, artificial intelligence integration, and healthcare and sectoral applications
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References
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Akter, S., Gunasekaran, A., Wamba, S. F., Babu, M. M., & Hani, U. (2020). Reshaping Competitive Advantages With Analytics Capabilities in Service Systems. Technological Forecasting and Social Change, 159, 120180. ISSN 0040-1625. https://doi.org/10.1016/j.techfore.2020.120180
Albergaria, M., & Jabbour, C.J. C. (2020). The Role of Big Data Analytics Capabilities (BDAC) in Understanding the Challenges of Service Information and Operations Management in the Sharing Economy: Evidence of Peer Effects in Libraries. International Journal of Information Management, 51, 102023. ISSN 0268-4012. https://doi.org/10.1016/j.ijinfomgt.2019.10.008
Alkhatib, A. W. (2022). Big Data Analytics Capabilities and Green Supply Chain Performance: Investigating The Moderated Mediation Model for Green Innovation and Technological Intensity. Business Process Management Journal, 28(5/6), 1446-1471. https://doi.org/10.1108/BPMJ-07-2022-0332
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Ashaari, M. A., Dara Singh, K. S., Abbasi, G. A., Amran, A., & Liebana-Cabanillas, F. J. (2021). Big Data Analytics Capability for Improved Performance of Higher Education Institutions in the Era Of Ir 4.0: A Multi-Analytical SEM & ANN Perspective. Technological Forecasting and Social Change, 173, 121119. ISSN 0040-1625. https://doi.org/10.1016/j.techfore.2021.121119
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Published
2026-09-16
How to Cite
Abdullah Sani, N. Z. A., Jaafar, N. I., & Tajudeen, F. P. (2026). Mapping the Global Trends and Thematic Evolution of Big Data Analytics Capabilities Research: A Bibliometric Review. Information Management and Business Review, 18(3(I), 151-180. https://doi.org/10.22610/imbr.v18i3(I).4889
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