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Influence of intellectual capital and integration on operational performance: big data analytical capability perspectives.

Authors :
Chen, Chun-Hsi Vivian
Chen, Yu-Cheng
Source :
Chinese Management Studies; 2022, Vol. 16 Issue 3, p551-570, 20p
Publication Year :
2022

Abstract

Purpose: In the digital economy, as artificial intelligence applications increase, big data analytical capability (BDAC) plays a crucial role, and intellectual capital is growing in importance. This study aims to examine the possible benefits and effects of intellectual capital, BDAC and integrations on operational performance. Design/methodology/approach: This study collected data from firms in Asia, and a total of 257 senior managers completed a questionnaire. Confirmatory factor analysis and structural equation modeling (SEM) is used for statistical analysis. Findings: Intellectual capital positively correlates with BDAC, and BDAC positively relates to internal integration but not to external integration. Furthermore, both internal integration and external integration positively correlate with operational performance. This study supports that internal integration is a significant mediator in the influence of BDAC on operational performance. Practical implications: First, the authors provide empirical evidence that intelligent capital in intangible resources helps firms to build BDAC. Second, this study stresses the importance of BDAC in business, which enhances the integration of the whole supply chain and results in superior operational performance. Originality/value: This is a first attempt from the perspective of intelligent capital and uses SEM to emphasize the relationships among BDAC, supply chain integration and performance based on unique and irreplaceable intangible resources, thus providing a new perspective on the contributing factors of BDAC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1750614X
Volume :
16
Issue :
3
Database :
Complementary Index
Journal :
Chinese Management Studies
Publication Type :
Academic Journal
Accession number :
156842958
Full Text :
https://doi.org/10.1108/CMS-02-2021-0037