The Moderating Effects of Digital Dynamic Capabilities on Big Data Analytic Capabilities and Bank Performance in Guangdong Province, China
DOI:
https://doi.org/10.22399/ijcesen.1468Keywords:
Big Data, Bank Performance, Digital Transformation, Digital Dynamic, GuangdongAbstract
This study explores the relationship between Big Data Analytics Capabilities (BDAC), Digital Dynamic Capabilities (DDC), and bank performance, with a focus on examining the moderating role of DDC in the BDAC-bank performance relationship. As digital transformation progresses, banks increasingly rely on big data technologies to enhance operational efficiency and competitiveness. However, fully leveraging the potential of big data analytics in dynamic market environments remains a challenge for many banks. Through a quantitative analysis of survey data from 500 employees across 10 banks in Guangdong Province, the study finds a significant positive relationship between BDAC and bank performance, with DDC playing a crucial moderating role in this relationship. The results indicate that banks with stronger digital dynamic capabilities are better positioned to leverage big data analytics for improved performance. Additionally, Principal Component Analysis (PCA) reveals that the combination of BDAC and DDC has a substantial impact on bank performance. This study provides empirical support for academic research on big data analytics and digital capabilities, offering practical recommendations for banks to optimize the application of big data analytics in the digital transformation process.
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