Analisis Determinasi Entrepreneurial Performance melalui Access To Credit dengan Dimoderasi Financial Support Programs Pada Indegenous Entrepreneurs Di Kepulauan Nias

Abstract

Indigenous entrepreneurial performance in isolated archipelagic regions such as Nias faces unique challenges in converting internal and external resources into sustainable growth. This study aims to analyze the effects of Digital Transformation (DT), Social Capital (SC), and Financial Inclusion (FI) on Entrepreneurial Performance (EP), with Access to Credit (ATC) as a mediating variable and Financial Support Programs (SFP) as a moderating variable. The population of this research comprises indigenous entrepreneurs across four regencies and one municipality in the Nias Archipelago. This quantitative study employs a Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach on a sample of 109 indigenous entrepreneurs. The analysis is further strengthened using Importance–Performance Map Analysis (IPMA) for strategic prioritization and Multi-Group Analysis (MGA) to examine regional structural consistency. The results reveal that Digital Transformation and Financial Inclusion exert positive and significant effects on Entrepreneurial Performance, as well as on Access to Credit. A key contribution of this study lies in the identification of a theoretical anomaly, in which Social Capital exerts a negative and significant effect on Entrepreneurial Performance, functioning as a constraining resource. Structurally, Access to Credit fails to mediate the relationships, although it directly and positively influences Entrepreneurial Performance. Furthermore, Financial Support Programs do not moderate the relationship between Access to Credit and Entrepreneurial Performance, indicating weak financial intermediation mechanisms in the local entrepreneurial context. IPMA results emphasize that strategic efforts should prioritize investments in Digital Transformation and Financial Inclusion, while regional policy differentiation is required based on MGA findings to address the varying negative impacts of social capital across regions.