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Data-Driven Innovation: Leveraging Big Data for Business Growth—A Bibliometric Review and Meta-Analysis

In: Impacting Society Positively Through Technology in Accounting and Business Processes

Author

Listed:
  • Ephias Munangi

    (University of South Africa)

  • Athenia Bongani Sibindi

    (University of South Africa)

Abstract

Technological advancements combined with big data have disrupted the traditional approach of conducting and growing businesses. To survive and maintain a competitive edge in the digital era, it is vital to generate new business models. This chapter applied a bibliometric review and meta-analysis by utilizing the SCOPUS database to explore the academic research that has been conducted on big data innovation and its impact on business growth. The VOSviewer software was utilized to construct and visualize the bibliometric networks from the extracted data. The findings show an increase in the number of documents published on the topic from 2021 to 2023. Entrepreneurship, integration, innovation, data analytics, and technological advancements were dominant issues in leveraging big data for business growth. The significance of the study is that the study identified the research gaps from the previous studies and explored how organizations can leverage big data for business growth.

Suggested Citation

  • Ephias Munangi & Athenia Bongani Sibindi, 2025. "Data-Driven Innovation: Leveraging Big Data for Business Growth—A Bibliometric Review and Meta-Analysis," Springer Proceedings in Business and Economics, in: Tankiso Moloi (ed.), Impacting Society Positively Through Technology in Accounting and Business Processes, pages 1231-1248, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-84885-8_65
    DOI: 10.1007/978-3-031-84885-8_65
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