Big data thinking of top executives and corporate innovation: based on machine learning

Corporate top executives' adaptation to big data technological trends and timely transformation of traditional cognitive patterns play crucial roles in driving corporate innovation. Grounded in the expansion logic of big data technology and upper echelons theory, this study investigates how executives' big data thinking influences corporate innovation. Utilising machine learning methods to construct a big data thinking index for corporate executives, we find that such thinking significantly enhances corporate innovation levels. Mechanism analysis reveals that big data thinking improves organisational capabilities in complex information environments, manifested by more pronounced innovation-enhancing effects when firms face information complexity or management teams lack sophisticated information processing capabilities. Further analysis demonstrates that executives' big data thinking effectively improves innovation quality. This research extends the investigation into economic consequences of big data development from a cognitive perspective, provides empirical evidence for stimulating corporate innovation potential, and offers policy implications for promoting high-quality economic development.

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Publication Details

Journal
China Journal of Accounting Studies
Published
2024-10-01
DOI
https://doi.org/10.1080/21697213.2025.2482613
Citations
2
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
1.56

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article

Big data thinking of top executives and corporate innovation: based on machine learning

Q. Vera Liao, Liao Wang, Wen Li, Xuesong Tang
2 citations
China Journal of Accounting Studies
Technology and Data Analysis
1.56
article

Big data thinking of top executives and corporate innovation: based on machine learning

Q. Vera Liao, Liao Wang, Wen Li, Xuesong Tang
article en
2 citations

Abstract

Corporate top executives' adaptation to big data technological trends and timely transformation of traditional cognitive patterns play crucial roles in driving corporate innovation. Grounded in the expansion logic of big data technology and upper echelons theory, this study investigates how executives' big data thinking influences corporate innovation. Utilising machine learning methods to construct a big data thinking index for corporate executives, we find that such thinking significantly enhances corporate innovation levels. Mechanism analysis reveals that big data thinking improves organisational capabilities in complex information environments, manifested by more pronounced innovation-enhancing effects when firms face information complexity or management teams lack sophisticated information processing capabilities. Further analysis demonstrates that executives' big data thinking effectively improves innovation quality. This research extends the investigation into economic consequences of big data development from a cognitive perspective, provides empirical evidence for stimulating corporate innovation potential, and offers policy implications for promoting high-quality economic development.

China Journal of Accounting StudiesVol. 12(4)
Nanjing Agricultural University (CN), Southwestern University of Finance and Economics (CN), Industrial and Commercial Bank of China (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Technology and Data Analysis
1.56
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Big data thinking of top executives and corporate innovation: based on machine learning — Q. Vera Liao, Liao Wang, et al. · China Journal of Accounting Studies (2024) | TGRS Research Map | TGRS