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Research on Big Data Technology and Transformation Path of Traditional Culture Industry

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  • Pengge Li

    (Department of Marxism, Henan Open University, China)

Abstract

This study examines how big data technologies transform traditional cultural industries, using China's Xiang embroidery sector as a primary case. Through a technology-organization-environment theoretical framework, a mixed-method approach was employed combining (1) extended Cobb-Douglas production function modeling of industry data (2016–2023), (2) semi-structured interviews with 27 practitioners, and (3) firm-level productivity analysis. Key findings indicate big data contributes 19.7% to output elasticity and enables precision marketing that reduces inventory costs by 34%. However, significant barriers persist, including data silos (reported by 78% of interviewees) and artificial intelligence talent shortages. The study contributes empirical evidence for digital-cultural integration, while highlighting policy needs for infrastructure investment. Ethical oversight was provided by the Academic Research Ethics Board (AREB-2023-147), with all participant data anonymized.

Suggested Citation

  • Pengge Li, 2025. "Research on Big Data Technology and Transformation Path of Traditional Culture Industry," Information Resources Management Journal (IRMJ), IGI Global, vol. 38(1), pages 1-18, January.
    • Handle: RePEc:igg:rmj000:v:38:y:2025:i:1:p:1-18
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    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.385131
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