EconPapers    
Economics at your fingertips  
 

A maturity assessment model for data governance in small and medium enterprises in Vietnam

Chu Thi Hong Hai ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 2, 1931-1951

Abstract: Within digital transformation, data governance is vitally important for business performance improvement. However, small and medium-sized enterprises (SMEs) in Vietnam struggle to achieve this due to their resource and readiness levels, as well as their technological capabilities. The data maturity models that exist, such as DAMA-DMBOK and DCAM, face a similar problem as they are designed for larger enterprises and are not easily applicable to SMEs. This paper seeks to create a model that is more suitable for Vietnamese SMEs. To achieve this, the research is conducted through document analysis, interviewing 20 data governance professionals, and conducting test research within 20 target SMEs across the manufacturing, trade, and service industries. The outcomes reveal that the model assists SMEs in improving data literacy, developing data governance policies, fulfilling security compliance measures, and integrating cloud data systems. Respondents from SMEs claiming to possess the highest level of maturity, on average, reported a 20% relative increase in business performance. In addition to contributing to data governance theory, this model is the first framework that cost-effectively aids Vietnamese SMEs in complying with Decree 13/2023/ND-CP while simultaneously improving their competitive abilities.

Keywords: Data Governance; Data Maturity Model; SMEs; Digital Transformation; Cloud Data Management. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/4982/1853 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:2:p:1931-1951:id:4982

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().

 
Page updated 2025-03-19
Handle: RePEc:ajp:edwast:v:9:y:2025:i:2:p:1931-1951:id:4982