• Abstract

    In the modern business context, digital transformation (DX) has emerged as an increasingly critical factor, profoundly influencing all dimensions of business operations. In particular, for small and medium-sized enterprises (SMEs), the DX roadmap is not merely a trend but a vital determinant of competitiveness and sustainable development in the global economy. Vietnamese SMEs play an essential role in promoting balanced development and facilitating regional economic restructuring. However, these enterprises face numerous challenges in adopting digital technologies, ranging from inadequate technological infrastructure and limited financial resources to a shortage of digital skills among employees. This study investigates the key factors influencing the DX process of Vietnamese SMEs and proposes practical implications to enhance the effectiveness of their digital initiatives. Utilizing survey data from 610 SMEs across 16 industry sectors, the study adopts a quantitative research approach, incorporating Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and multiple linear regression to validate the conceptual framework. The findings identify four primary factors that significantly contribute to DX process: (1) customer experience and supply chain integration, (2) technological infrastructure and data governance, (3) human capital and organizational structure, and (4) enterprise leaders’ strategic orientation. The proposed model demonstrates strong explanatory power (R² = 0.905), affirming the relevance and applicability of the identified factors. Based on the research results, we provide recommendations for leaders of SMEs and relevant Vietnamese government agencies to formulate DX strategies tailored to the unique characteristics of enterprises in Vietnam.

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Tu, D. T., Linh, B. T. H., Hong, T. T. M., Huyen, D. T. T., & Nguyet, T. T. M. (2025). Strategic enablers of digital transformation: A quantitative study on SMEs in Vietnam. Multidisciplinary Science Journal, 8(5), 2026252. https://doi.org/10.31893/multiscience.2026252
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