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A Bibliometric and Topic Modeling Review of Data-Driven Culture: Does the Academic Discourse Match the Public Discourse?

In: Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems

Author

Listed:
  • Jéssica Alves Justo Mendes

    (University of São Paulo)

  • Paulo Perazolli

    (University of São Paulo)

  • Guilherme Moreira

    (University of São Paulo)

  • Raquel Mello

    (Mackenzie Presbyterian University)

  • Mateus Cecilio Gerolamo

    (University of São Paulo)

Abstract

This study investigates academic and public discourses on “data-driven culture” using Latent Dirichlet Allocation (LDA). While prior research primarily focuses on academic insights, this paper maps public discourse and performs a brief bibliometric analysis to show key scientific articles. We found significant overlap and distinct differences between the discourses: academia explores theoretical foundations and strategic integration, while public discourse emphasizes practical applicability and human factors. Our results can benefit practitioners and academics by aligning scientific approaches with practical applications, broadening understanding, identifying gaps, and highlighting the study’s role in connecting theoretical and practical contexts.

Suggested Citation

  • Jéssica Alves Justo Mendes & Paulo Perazolli & Guilherme Moreira & Raquel Mello & Mateus Cecilio Gerolamo, 2026. "A Bibliometric and Topic Modeling Review of Data-Driven Culture: Does the Academic Discourse Match the Public Discourse?," Springer Proceedings in Business and Economics, in: Fabiano Armellini & Syrine Njah & Elaine Mosconi & Breno Nunes (ed.), Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, pages 461-469, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23282-3_55
    DOI: 10.1007/978-3-032-23282-3_55
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