Research on big data technology application capability in Guangdong banking industry

Juanjuan He (), Madya Abdul Manaf Bohari () and Abdul Shukor bin Shamsudin ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 2, 843-853

Abstract: This study examines the impact of digital dynamic capabilities on bank performance in Guangdong Province, focusing on big data technologies, data application modules, dynamic data modeling efficiency, and technology talent. The study uses big data visualization and regression analysis, collecting data from Guangdong banks between 2015 and 2023, to explore the relationship between digital dynamic capabilities and bank performance. The analysis finds that big data technology investment has the largest positive impact on performance, followed by data application modules, dynamic data modeling efficiency, and the proportion of big data technology personnel. The study highlights the importance of investment in big data, effective data application, and skilled personnel in enhancing bank performance, with large state-owned banks leading the digital transformation. Banks should focus on increasing big data investment, expanding data application modules, and developing a strong data talent pool to drive their digital transformation and improve performance.

Keywords: Big Data; Bank Performance; Data Application Modules; Digital Dynamic Capabilities; Dynamic Data Modeling; Technology Talent. (search for similar items in EconPapers)
Date: 2025
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