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Harnessing big data analytics and artificial intelligence for optimisations of firm performance: moderation of knowledge management

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  • Kun Wang

Abstract

This study examines the association between big data analytics (BDA) and firm sustainable performance (FSP). Second, the study ensures the correlation between artificial intelligence technologies and FSP with the moderation of knowledge management (KM) from the perspective of the electronic industry in China. Therefore, this study applied structural equation modelling to assess empirical results. The study found a significant impact of using BDA technologies (e.g., Hadoop, Spark, Storm, Snowflake, and Google BigQuery) on firm performance. Likewise, the study confirmed a positive impact of AI on firm performance which ensured a significant impact of these evolving technologies to optimise the firm performance of the electronic industry. Finally, a positive moderation of KM was confirmed between the direct proposed relationships. Besides, some limitations along with future avenues are reported.

Suggested Citation

  • Kun Wang, 2025. "Harnessing big data analytics and artificial intelligence for optimisations of firm performance: moderation of knowledge management," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 15(3), pages 300-316.
    • Handle: RePEc:ids:ijkbde:v:15:y:2025:i:3:p:300-316
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