Aziz Norzalita Abd, Long Fei
UKM-Graduate School of Business, The National University of Malaysia (UKM), Bangi, Malaysia.
Business School, Guangdong Ocean University, Yangjiang, Guangdong, China.
Front Big Data. 2023 Mar 17;6:1036174. doi: 10.3389/fdata.2023.1036174. eCollection 2023.
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.
借鉴以往关于动态能力观（DCV）的文献，我们研究了数据分析能力（BDAC）对组织双元性以及马来西亚银行业探索与利用之间矛盾张力的影响。尽管银行通常被视为成熟的商业组织，但它们在长期竞争力方面的技术进步和组织变革问题也并非不存在。通过对来自马来西亚162名银行经理的数据进行统计分析，证实了BDAC对组织双元性的两个相互矛盾的方面（即探索性动态能力和利用性动态能力）有积极影响，并且探索性动态能力还在BDAC与利用性营销能力之间的正向关系中起中介作用。这些发现为研究人员和银行经理提供了关于如何在当前数字时代获得可持续竞争优势的有意义的见解。
