Impact of ArcelorMittal's Sustainability and Digitalization Initiatives on Environmental Performance

This study examines the impact of digitalization and sustainability initiatives on environmental efficiency performance at ArcelorMittal Temirtau, a steel manufacturing company in Kazakhstan. Using an explanatory case study design, the research applies Innovation Diffusion Theory (IDT), Resource-Based View (RBV), and Institutional Theory. Data was collected through a structured questionnaire from 123 employees with at least three years of relevant experience. Statistical analysis, including SEM, CFA, and correlation analysis, was conducted using SPSS and AMOS. Findings indicate that sustainability efforts, particularly collaboration with external stakeholders, are well-received, while employee training needs improvement. Digital transformation enhances production efficiency, decision-making, and waste management, yet training gaps persist. Hypothesis testing reveals that firm capabilities do not significantly benefit from digitalization alone, and institutional pressure does not moderate its environmental impact. However, sustainability efforts, digitalization, and R&D investments contribute positively to environmental outcomes, with internal resources acting as a mediator. The study recommends structured employee training, AI-powered analytics, blockchain-enabled supply chains, and digital twin technologies for optimizing sustainability and operational efficiency. Future research should explore long-term sustainability impacts and industry-specific regulatory responses. The findings provide valuable insights for companies and policymakers aiming to enhance sustainability through digital innovation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-14
DOI
https://doi.org/10.5281/zenodo.15404191
Primary Topic
Genetic Syndromes and Imprinting
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of ArcelorMittal's Sustainability and Digitalization Initiatives on Environmental Performance

Zenodo (CERN European Organization for Nuclear Research)
Genetic Syndromes and Imprinting
article

Impact of ArcelorMittal's Sustainability and Digitalization Initiatives on Environmental Performance

article en

Abstract

This study examines the impact of digitalization and sustainability initiatives on environmental efficiency performance at ArcelorMittal Temirtau, a steel manufacturing company in Kazakhstan. Using an explanatory case study design, the research applies Innovation Diffusion Theory (IDT), Resource-Based View (RBV), and Institutional Theory. Data was collected through a structured questionnaire from 123 employees with at least three years of relevant experience. Statistical analysis, including SEM, CFA, and correlation analysis, was conducted using SPSS and AMOS. Findings indicate that sustainability efforts, particularly collaboration with external stakeholders, are well-received, while employee training needs improvement. Digital transformation enhances production efficiency, decision-making, and waste management, yet training gaps persist. Hypothesis testing reveals that firm capabilities do not significantly benefit from digitalization alone, and institutional pressure does not moderate its environmental impact. However, sustainability efforts, digitalization, and R&D investments contribute positively to environmental outcomes, with internal resources acting as a mediator. The study recommends structured employee training, AI-powered analytics, blockchain-enabled supply chains, and digital twin technologies for optimizing sustainability and operational efficiency. Future research should explore long-term sustainability impacts and industry-specific regulatory responses. The findings provide valuable insights for companies and policymakers aiming to enhance sustainability through digital innovation.

Zenodo (CERN European Organization for Nuclear Research)
Nanjing University of Information Science and Technology (CN)
Openalex Percentile: Top 51%
Genetic Syndromes and Imprinting
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