Linking knowledge governance, digital infrastructure, and learning behaviour for sustainable innovation

This study examined the mutual dependence between the quality of digital infrastructure, the use of AI-powered decision support, knowledge governance systems and entrepreneurial learning behaviour that foster sustainable business model innovation (SBMI) among business enterprises in Vietnam. Using the Resource-Based View, Knowledge-Based View, and Institutional Theory frameworks, this study suggested an exhaustive structural model based on the data on 500 organisational leaders in the country. Partial least squares structural equation modeling (PLS-SEM) was used to test the hypothesized relationships. Results showed advanced digital infrastructure and AI-powered decision support systems significantly increased the organisational learning ability, which functions as a direct facilitator and to some extent mediator of sustainable innovation. Entrepreneurial learning behaviour and knowledge governance are found significantly direct and indirect affecting learning capability. Further, institutional support on innovation strengthenedthe positive relationship between learning capability and SBMI, highlighting the importance of an enabling policy environment. Overall, the findings reveal that the firms need to coordinate technological, cognitive, and institutional resources to achieve sustainability-oriented transformation. This study provides immense theoretical and practical implications, in promoting a sustainable business innovation in Vietnam, and opens new avenues for future cross-sectoral and longitudinal research.

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Publication Details

Journal
Journal of Innovation & Knowledge
Published
2026-07-27
DOI
https://doi.org/10.1016/j.jik.2026.101091
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Linking knowledge governance, digital infrastructure, and learning behaviour for sustainable innovation

Jamshid Pardaev, Ooi Chee Keong, Jun Ma, Saeed Mousa
Journal of Innovation & Knowledge
University-Industry-Government Innovation Models
article

Linking knowledge governance, digital infrastructure, and learning behaviour for sustainable innovation

Jamshid Pardaev, Ooi Chee Keong, Jun Ma, Saeed Mousa
article en

Abstract

This study examined the mutual dependence between the quality of digital infrastructure, the use of AI-powered decision support, knowledge governance systems and entrepreneurial learning behaviour that foster sustainable business model innovation (SBMI) among business enterprises in Vietnam. Using the Resource-Based View, Knowledge-Based View, and Institutional Theory frameworks, this study suggested an exhaustive structural model based on the data on 500 organisational leaders in the country. Partial least squares structural equation modeling (PLS-SEM) was used to test the hypothesized relationships. Results showed advanced digital infrastructure and AI-powered decision support systems significantly increased the organisational learning ability, which functions as a direct facilitator and to some extent mediator of sustainable innovation. Entrepreneurial learning behaviour and knowledge governance are found significantly direct and indirect affecting learning capability. Further, institutional support on innovation strengthenedthe positive relationship between learning capability and SBMI, highlighting the importance of an enabling policy environment. Overall, the findings reveal that the firms need to coordinate technological, cognitive, and institutional resources to achieve sustainability-oriented transformation. This study provides immense theoretical and practical implications, in promoting a sustainable business innovation in Vietnam, and opens new avenues for future cross-sectoral and longitudinal research.

Journal of Innovation & KnowledgeVol. 18
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
University-Industry-Government Innovation Models
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