Generative Artificial Intelligence Productivity in Indonesian Micro, Small, and Medium Enterprises
DOI:
https://doi.org/10.15408/sjie.v15i2.51244Keywords:
digital economic, GenAI, MSME productivity, Structural Equation Modeling-Partial Least Square (SEM-PLS)., technological readinessAbstract
Research Originality: This study integrates organizational capabilities and productivity outcomes to explain how generative artificial intelligence enhances productivity in Indonesian enterprises.
Research Objectives: The study aims to analyze the effects of perceived usefulness, technological readiness, and organizational support on Generative AI (GenAI) adoption intensity, and evaluate the effect of GenAI adoption intensity on MSME productivity in Indonesia.
Research Methods: This study used data from a quantitative cross-sectional survey of 200 Indonesian MSMEs with PLS-SEM to examine relationships among proposed variables in the model.
Empirical Results: Perceived usefulness and technological readiness were found to significantly increase the intensity of GenAI adoption. Perceived usefulness and organizational support were also found to positively influence MSME productivity, while GenAI adoption intensity and technological readiness did not show a direct influence.
Implications: MSME development programs should strengthen artificial intelligence literacy, workflow integration, managerial support, and responsible standards to generate measurable productivity gains.
JEL Classification: D22, L25, M15, O33
How to Cite:
Murniati., Rianto, S., Nazzal, A. G. T., & Sekardhani, M. (2026). Generative Artificial Intelligence Productivity in Indonesian Micro, Small, and Medium Enterprises. Signifikan: Jurnal Ilmu Ekonomi, 15(2), 515-530. https://doi.org/10.15408/sjie.v15i2.51244.
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