AI and Robotic Engagement as Catalysts for Mining Industry Sustainability Performance

Dading Damas Ario Wicaksono, Murtanto Murtanto, Juniati Gunawan, Florencia Irena Lawita, Euro Prishadda Dhammika Lie

Abstract


This study examines the impact of carbon emission reduction, green behaviour, and green economic value on sustainability performance, highlighting artificial intelligence (AI) and robotic engagement as distinct instruments in the Society 5.0 era among Indonesian mining firms during 2022 2025. A quantitative panel data approach is applied using secondary data with purposive sampling, employing the best fit model (CEM, FEM, or REM), supported by classical assumption tests and robust multiple regression standard errors. The results show that carbon reduction, green income, and AI significantly enhance sustainability performance. AI strengthens the effects of carbon reduction and green income, but weakens the role of green employee behaviour. In contrast, robotic engagement has a negative and insignificant moderating effect, leading to the rejection of related hypotheses. This study extends sustainability literature through the Resource-Based View (RBV) by positioning AI as a strategic resource and distinguishing it from robotic engagement. Practically, it suggests firms prioritize AI driven strategies while aligning them with human behaviour to achieve sustainable performance. The novelty lies in a modified proxy model and the separation of AI and robotics as distinct constructs.

Keywords


Artificial Intelligence; Robotic; Sustainability Performance.

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References


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DOI: https://doi.org/10.17509/jaset.v18i1.97778

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