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Academic Journal of Business & Management, 2025, 7(11); doi: 10.25236/AJBM.2025.071106.

The Mechanism of Digital Intelligence Transformation Empowering Enterprises' New Quality Productive Forces—Empirical Evidence from A-Share Listed Manufacturing Companies

Author(s)

Sijia Feng, Yichun Hou, Jiahui Zhong, Churan Deng, Junwei Zhu

Corresponding Author:
​Sijia Feng
Affiliation(s)

International Business College, South China Normal University, Foshan, Guangdong, China

Abstract

Confronted with a complex and challenging international environment alongside domestic reform and development imperatives, new quality productive forces have emerged as a pivotal driver for advancing Chinese modernisation and establishing a new development paradigm. Digital intelligence transformation, integrating digitalisation and intelligentisation, serves as a pivotal driver of technological revolution and industrial transformation. It reshapes corporate growth models and governance structures, acting as a crucial lever for fostering new quality productive forces within enterprises. This study empirically examines the impact and mechanisms of digital intelligence transformation on corporate new quality productive forces using a sample of A-share listed manufacturing companies from 2014 to 2022. Results show that digital intelligence transformation significantly enhances the development of new quality productive forces, a conclusion that holds across multiple robustness tests. This study offers insights for enabling China's manufacturing enterprises to leverage new quality productive forces through digital intelligence transformation, thereby contributing to high-quality economic development.

Keywords

Digital Intelligence Transformation; New Quality Productive Forces

Cite This Paper

Sijia Feng, Yichun Hou, Jiahui Zhong, Churan Deng, Junwei Zhu. The Mechanism of Digital Intelligence Transformation Empowering Enterprises' New Quality Productive Forces—Empirical Evidence from A-Share Listed Manufacturing Companies. Academic Journal of Business & Management (2025), Vol. 7, Issue 11: 40-46. https://doi.org/10.25236/AJBM.2025.071106.

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