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

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.