Examining the Effects of Big Data Analytics Capabilities on Firm Performance in the Malaysian Banking Sector

Norzalita Abd Aziz, Fei Long () and Wan Mohd Hirwani Wan Hussain
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Norzalita Abd Aziz: UKM-Graduate School of Business, The National University of Malaysia (UKM), Bangi 43600, Malaysia
Fei Long: Business School, Guangdong Ocean University, Yangjiang 529500, China
Wan Mohd Hirwani Wan Hussain: UKM-Graduate School of Business, The National University of Malaysia (UKM), Bangi 43600, Malaysia

IJFS, 2023, vol. 11, issue 1, 1-13

Abstract: Banks’ primary goal is to gain profit for survival and to thrive. Therefore, they have to take various measures, such as data analysis, to maintain their sustainable competitiveness. Along with the rapid development of information technology, big data analytics capabilities (BDAC) is considered essential for banks in the highly dynamic market. To gain an in-depth understanding of the economic importance of BDAC in the banking sector in Malaysia, this research examines the relationship between BDAC and firm performance (i.e., market performance and operational performance) based on the resource-based view (RBV) and the contingent resource-based view (CRBV). The partial least squares structural equation modelling (PLS-SEM) was adopted to analyse the collected data from 162 bank managers in Malaysia. The findings verify that BDAC is composed of seven tangible/intangible resources and human skills, and it significantly influences firm performance in the banking sector.

Keywords: big data analytics capabilities; firm performance; bank; Malaysia (search for similar items in EconPapers)
JEL-codes: F2 F3 F41 F42 G1 G2 G3 (search for similar items in EconPapers)
Date: 2023
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