DATA-INFORMED DECISION MAKING AND MSME ADAPTABILITY: AN INTEGRATIVE FRAMEWORK FOR EVIDENCE, LEARNING, AND RESOURCE ALLOCATION

M. Syafarudin Mahaputra (Universitas Islam Nusantara, Bandung, Indonesia)
Ucu Supriatna (International Women University, Bandung, 40112, Indonesia)

Jesocin : Journal of Economics, Accounting, Business, Management, Engineering and Society
Vol. 2 No. 5 (2025): Jesocin : May

This conceptual paper develops an integrative framework for data-informed decision making and MSME adaptability in micro, small, and medium enterprises (MSMEs). It synthesizes established literature on the resource-based view, dynamic capabilities, organizational learning, absorptive capacity, social capital, resilience, and entrepreneurial ecosystems. The analysis explains how evidence quality, managerial interpretation, resource allocation, feedback cycles, and adaptive learning can be organized into proportionate managerial routines. No primary survey, interview, experimental, or statistical data are claimed. The framework proposes diagnosis, capability mapping, bounded experimentation, evidence review, governance, resource reconfiguration, and learning retention as a cumulative cycle. Implications are developed for owner-managers, support institutions, and future empirical research.