The green transition journey: How digital platforms and AI capabilities drive green ambidexterity innovation, circular economy and sustainable performance

Despite growing attention to sustainability in SMEs, limited research explains the capability-building mechanism through which digital and AI capabilities enable green transition and circular economy outcomes under resource constraints. Drawing on Dynamic Capability Theory, this study examines how digital platform capability and AI capability foster green transition and ambidextrous green innovation, thereby enhancing circular economy practices and sustainable performance. Using survey data from 286 Vietnamese SMEs and applying hierarchical regression and polynomial regression with response surface analysis, the findings show that digital capability exerts a stronger effect on green transition than AI capability. Both exploratory and exploitative green innovation significantly improve sustainability outcomes, though through distinct pathways. Balanced innovation maximizes circular economy practices, whereas imbalance may weaken circularity but improve performance. The study advances dynamic capability theory by clarifying the innovation-mediated pathway linking digital transformation to sustainability in emerging-economy SMEs.

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Publication Details

Journal
World Development Sustainability
Published
2026-03-31
DOI
https://doi.org/10.1016/j.wds.2026.100296
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

The green transition journey: How digital platforms and AI capabilities drive green ambidexterity innovation, circular economy and sustainable performance

Cong Doanh Duong
World Development Sustainability
Innovation, Sustainability, Human-Machine Systems
article

The green transition journey: How digital platforms and AI capabilities drive green ambidexterity innovation, circular economy and sustainable performance

Cong Doanh Duong
article en

Abstract

Despite growing attention to sustainability in SMEs, limited research explains the capability-building mechanism through which digital and AI capabilities enable green transition and circular economy outcomes under resource constraints. Drawing on Dynamic Capability Theory, this study examines how digital platform capability and AI capability foster green transition and ambidextrous green innovation, thereby enhancing circular economy practices and sustainable performance. Using survey data from 286 Vietnamese SMEs and applying hierarchical regression and polynomial regression with response surface analysis, the findings show that digital capability exerts a stronger effect on green transition than AI capability. Both exploratory and exploitative green innovation significantly improve sustainability outcomes, though through distinct pathways. Balanced innovation maximizes circular economy practices, whereas imbalance may weaken circularity but improve performance. The study advances dynamic capability theory by clarifying the innovation-mediated pathway linking digital transformation to sustainability in emerging-economy SMEs.

World Development SustainabilityVol. 8
National Economics University (VN)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Innovation, Sustainability, Human-Machine Systems
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The green transition journey: How digital platforms and AI capabilities drive green ambidexterity innovation, circular economy and sustainable performance — Cong Doanh Duong · World Development Sustainability (2026) | TGRS Research Map | TGRS