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P. V. Nguyen

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Review Open access Sep 2026

The innovation paradox: Institutional drivers and capability orchestration in Vietnamese enterprises

Type of the article: Research ArticleAbstractEnterprises serve as the primary innovation engine in transition economies yet face significant institutional challenges. The purpose of this study is to investigate the “innovation paradox” in enterprises within a transition economy by analyzing the shift from reliance on passive subsidies (government support) to capability orchestration (absorptive capacity and internal readiness) in determining innovation performance. Grounded in the functional national innovation system and resource-based view, this paper relies primarily on a cross-sectional survey. Data were collected from November 2025 to January 2026 through direct and digital questionnaires administered to C-level executives and R&D managers from 240 enterprises across Hanoi, Da Nang, and Ho Chi Minh City. These key informants were selected for their strategic vantage point, ensuring high relevance in capturing diverse innovation modes. Using partial least squares structural equation modeling (PLS-SEM), the model explains 58.6% of the variance in innovation performance. Empirical results reveal a substantive implementation gap: internal R&D readiness is the strongest direct predictor of innovation performance (β = 0.410), and intermediary linkages significantly enhance outcomes through the partial mediation of absorptive capacity. Conversely, while direct government support marginally aids short-term output, it does not show a significant association with long-term absorptive capacity (β = 0.032). Consequently, policymakers should complement financial incentives by supporting intermediary networks, while managers must cultivate internal learning routines to exploit external knowledge.AcknowledgmentThis is the result of the national-level science and technology project entitled “Comparative Study of Best Practices in the Development of National Innovation Systems in Selected Transition Economies of the European Union and Lessons for Vietnam”, project code KX.07.04/21–30, under the KX07 Program of the Ministry of Science and Technology.

Hoa Huu Cuong, Ly Thu Cuc, P. V. Nguyen · 0 citations
Aug 2026

Turning regulation into sustainability performance: the role of AI-enabled absorptive capacity in manufacturing firms

This study aims to examine how government regulations are translated into sustainability performance in manufacturing firms by investigating the mediating roles of artificial intelligence (AI) capabilities and absorptive capacity. Drawing on institutional theory and the resource-based view, it explains how regulatory pressure stimulates internal digital capability development and knowledge-processing mechanisms rather than directly improving sustainability outcomes. Data were collected from 297 managers and senior executives in Vietnamese manufacturing firms. The proposed research model was tested using partial least squares-structural equation modeling. The results show that government regulations do not have a significant direct effect on sustainability performance but significantly enhance AI capabilities. AI capabilities, in turn, positively affect sustainability performance and both dimensions of absorptive capacity. Potential absorptive capacity significantly improves sustainability performance, whereas realized absorptive capacity has no significant direct effect. These findings reveal asymmetric effects of absorptive capacity: firms appear better able to acquire and assimilate external knowledge than to convert it into measurable sustainability outcomes. This study contributes to competitiveness and sustainability research by showing that government regulations enhance sustainability performance indirectly through AI-enabled knowledge capabilities. It reconceptualizes AI capabilities as a higher-order strategic resource that strengthens sustainable competitiveness in manufacturing firms, while highlighting possible implementation barriers to converting knowledge into performance.

Huyen Thi My Nguyen, P. V. Nguyen, D. Vrontis · 0 citations

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