Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach

Muhammad Tody Arsyianto ; Budi Eko Soetjipto
International Journal of Economics, Management and... 📅 2025 Vol 2, No 3 🔗 DOI: 10.61132/ijema.v2i3.676
Abstract
Despite their 45% contribution to the global economy, international micro, small, and medium-sized enterprises (MSMEs) face considerable obstacles in enhancing their global competitiveness because they lack the resources and access to efficient market analysis (OECD, 2025). In order to optimize cross-border MSME market analysis, this research attempts to construct a machine learning (ML) model coupled with a mixed-methods approach. A combination of quantitative (XGBoost and SEM-AMOS were used to analyze transaction data of 500 Indonesian export MSMEs 2020–2024) and qualitative (interviews with 15 MSME players) methods showed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including exchange rate fluctuations (19%) and social media sentiment (28%). According to qualitative findings, the ML model does not identify cross-border regulatory constraints that 65% of MSMEs must deal with. These results validate market intelligence powered by AI as a strategic asset, extending the Resource-Based View paradigm. The significance of contextual adaptation and technological integration in the digital transformation of MSMEs is emphasized by this study.
Keywords
Global Competitiveness; International MSMEs; Machine Learning; Market Analysis; Mixed-Methods
How to Cite

Muhammad Tody Arsyianto & Budi Eko Soetjipto (2025). Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach. International Journal of Economics, Management and Accounting, 2(3). https://doi.org/10.61132/ijema.v2i3.676

Muhammad Tody Arsyianto; Budi Eko Soetjipto, "Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach," International Journal of Economics, Management and Accounting, vol. 2, no. 3, 2025.

Muhammad Tody Arsyianto; Budi Eko Soetjipto. "Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach." International Journal of Economics, Management and Accounting, vol. 2, no. 3, 2025.

Muhammad Tody Arsyianto; Budi Eko Soetjipto. "Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach." International Journal of Economics, Management and Accounting 2, no. 3 (2025).

Muhammad Tody Arsyianto & Budi Eko Soetjipto (2025) 'Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach', International Journal of Economics, Management and Accounting, 2(3). doi: 10.61132/ijema.v2i3.676.

Muhammad Tody Arsyianto; Budi Eko Soetjipto. Enhancing International SME Competitiveness through Machine Learning Driven Market Analysis : A Mixed Methods Approach. International Journal of Economics, Management and Accounting. 2025;2(3).

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