Murniati Murniati
Faculty of Entrepreneurship Department, BINUS Business School, Bina Nusantara University

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Generative Artificial Intelligence Productivity in Indonesian Micro, Small, and Medium Enterprises Murniati Murniati; Sugeng Rianto; Ayman Ghazi Taher Nazzal; Mufida Sekardhani
Signifikan: Jurnal Ilmu Ekonomi Vol. 15 No. 2 (2026)
Publisher : Faculty of Economic and Business, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sjie.v15i2.51244

Abstract

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.