Strategi Dinamis dalam Adopsi Green Artificial Intelligence untuk Meningkatkan Keunggulan Kompetitif Berkelanjutan pada Sektor Manufaktur: Sebuah Tinjauan Literatur Sistematis

Supriadi Siagian; Abdul Rahim Siregar; Jufri Jufri; Sabrina Sabrina

doi:10.30640/jmcbus.v4i2.6125

Authors

Supriadi Siagian Universitas Muhammadyah Sumatera Utara
Abdul Rahim Siregar Universitas Muhammadyah Sumatera Utara
Jufri Jufri Universitas Muhammadyah Sumatera Utara
Sabrina Sabrina Universitas Muhammadyah Sumatera Utara

DOI:

https://doi.org/10.30640/jmcbus.v4i2.6125

Keywords:

Decarbonization, Dynamic Capabilities, Green AI, Industry 5.0, Manufacturing Sector

Abstract

Background: The manufacturing sector is currently navigating a critical duality between rapid digitalization and global decarbonization mandates. While Artificial Intelligence (AI) offers immense economic potential, the traditional "Red AI" approach prioritizing model accuracy over energy efficiency has led to a significant environmental paradox. Objective: This systematic literature review (SLR) aims to synthesize existing research on "Green AI" adoption through the lens of Dynamic Capabilities Theory to understand how manufacturing firms can achieve a sustainable competitive advantage. Methods: Following the PRISMA 2020 protocol, 45 high-quality articles published between 2020 and 2026 were extracted from Scopus, Web of Science, and Sinta 1-2 databases for thematic synthesis. Results: The findings identify three core dynamic pillars Sensing, Seizing, and Reconfiguring as vital mediators that transform Green AI adoption into strategic value. The study highlights a shift toward "Smart Data" over "Big Data" to minimize computational carbon footprints. Conclusion: The review concludes that Green AI is no longer a peripheral ethical choice but a strategic imperative. This SLR contributes a novel conceptual framework integrating computational sustainability with strategic management, providing a roadmap for practitioners, particularly in emerging economies like Indonesia, to align digital transformation with ecological responsibility.

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