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

Wenny Eka Prasetiawan ; Sudarmiatin Sudarmiatin
International Journal of Economics, Commerce, and... 📅 2025 Vol 2, No 3 🔗 DOI: 10.62951/ijecm.v2i3.677
Abstract
International Micro, Small and Medium Enterprises (MSMEs) face significant challenges in improving global competitiveness due to limited resources and access to effective market analysis, despite contributing 45% to the global economy (OECD, 2025). This research aims to develop an integrated machine learning (ML) model with a mixed-methods approach to optimise cross-border MSME market analysis. A combination of quantitative (transaction data analysis of 500 Indonesian export MSMEs 2020-2024 using XGBoost and SEM-AMOS) and qualitative (interviews with 15 MSME players) methods revealed that the XGBoost model achieved 89% accuracy in predicting market trends, with key variables including social media sentiment (28%) and exchange rate fluctuations (19%). Qualitative results show that 65% of MSMEs face cross-border regulatory barriers that ML models do not detect. The findings extend the Resource-Based View theory by validating AI-driven market intelligence as a strategic asset (β = 0.67, p 0.7. This research highlights the importance of technology integration and contextual adaptation in the digital transformation of MSMEs.
Keywords
Global Competitiveness; International MSMEs; Machine Learning; Market Analysis; Mixed-Methods
How to Cite

Wenny Eka Prasetiawan & Sudarmiatin Sudarmiatin (2025). Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach. International Journal of Economics, Commerce, and Management, 2(3). https://doi.org/10.62951/ijecm.v2i3.677

Wenny Eka Prasetiawan; Sudarmiatin Sudarmiatin, "Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach," International Journal of Economics, Commerce, and Management, vol. 2, no. 3, 2025.

Wenny Eka Prasetiawan; Sudarmiatin Sudarmiatin. "Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach." International Journal of Economics, Commerce, and Management, vol. 2, no. 3, 2025.

Wenny Eka Prasetiawan; Sudarmiatin Sudarmiatin. "Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach." International Journal of Economics, Commerce, and Management 2, no. 3 (2025).

Wenny Eka Prasetiawan & Sudarmiatin Sudarmiatin (2025) 'Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach', International Journal of Economics, Commerce, and Management, 2(3). doi: 10.62951/ijecm.v2i3.677.

Wenny Eka Prasetiawan; Sudarmiatin Sudarmiatin. Optimising International SME Competitiveness through Machine Learning-Driven Market Analysis : A Mixed Methods Approach. International Journal of Economics, Commerce, and Management. 2025;2(3).

Artikel Terkait

Contribution of Organizational Commitment through Discipline, Professionalism, and Work Culture of Public Service Sector Employees

Andari, Andari; Nafiudin Nafiudin; Fatya Nisyah; Niken Widillahi

Empowering Local Human Resources in the Internationalization Process: A Qualitative Study of Coffee-Based MSMEs

Oktavianti, Indira ; Sudarmiatin Sudarmiatin; Heri Pratikto

The Influence of Village Apparatus Capacity on Village Fund Management Accountability with the Village Financial System (Siskeudes) as an Intervening Variable

Gloria Elizabeth Yoltuwu; Janet Wilsye Litualy

Nurse Competence, Social Influence, and Usability on EMR Use with Perceived Ease as Mediator

Rizqi Kartika Wardani; Rian Adi Pamungkas; Intan Silviana Mustikawati

Navigating NGO Sustainability: Stakeholders, Operational Efficiency, and Innovation in Floating Hospitals

Nodya Melinda Noori; Ediansyah Ediansyah; Nofierni Nofierni

The Transformation of Financial Literacy in the Digital Era: a Systematic Literature Review on Concepts, Dimensions, and Future Research Directions

Agatha Helena Deze
Tren Sitasi Jurnal