Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector

Norzalita Abd Aziz; Fei Long

doi:10.3389/fdata.2023.1036174

Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector

Front Big Data. 2023 Mar 17:6:1036174. doi: 10.3389/fdata.2023.1036174. eCollection 2023.

Authors

Norzalita Abd Aziz¹, Fei Long²

Affiliations

¹ UKM-Graduate School of Business, The National University of Malaysia (UKM), Bangi, Malaysia.
² Business School, Guangdong Ocean University, Yangjiang, Guangdong, China.

Abstract

Drawing on previous literature on dynamic capability view (DCV), we examine the effects of data analytics capabilities (BDAC) on organizational ambidexterity and the paradoxical tensions between exploration and exploitation in the Malaysian banking sector. Although banks are often considered as mature commercial organizations, they are not free of issues concerning technological advancement and organizational changes for long-term competitiveness. Through statistical analysis by using data from 162 bank managers in Malaysia, it is confirmed that BDAC positively influences the two contradictory aspects of organizational ambidexterity (i.e., explorative dynamic capabilities and exploitative dynamic capabilities), and explorative dynamic capabilities also mediate the positive relationship between BDAC and exploitative marketing capabilities. The findings provide meaningful insights to researchers and bank managers on how to obtain sustainable competitive advances in the current digital era.

Keywords: Malaysia; ambidexterity; bank; big data analytics capabilities; exploitation; exploration.

Grants and funding

This research was funded by the Ministry of Higher Education of Malaysia, grant number FRGS /1/2019/SS01/UKM/02/4 and RHB-UKM Endowment, grant number RHB-UKM-2020-002.