The Role of Technology Adoption in Environmental Compliance Management

This paper examines the impact of technology adoption on Environmental Compliance Management policies in various industries. Its goal is to develop a model illustrating the impact of modern technologies on streamlining compliance, data capture, risk mitigation, and enabling proactive response to potential risks. The methodology proposes a system architecture for the ECM (Environmental Compliance Management) system which incorporates the Internet of Things, Artificial Intelligence, Cloud Computing and facilitates real-time monitoring of environmental parameters and automated reporting. Illustrative results suggest that compliance is achieved at a significantly higher rate, operational cost is lowered, regulatory capture improved, and environmental impact risk reduced with the use of the technologies. This study reveals the essential burden technology can take to offer more intelligent, proficient, and sustainable governance over the environment as well as reducing the burden on the business and the ecology.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-04-15
DOI
https://doi.org/10.64252/pqfhdx29
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

The Role of Technology Adoption in Environmental Compliance Management

Ferry Fadzlul Rahman, Gita Negi, Rajesh Sehgal
1 citations
International Journal of Environmental Sciences
Big Data and Business Intelligence
2.28
article

The Role of Technology Adoption in Environmental Compliance Management

Ferry Fadzlul Rahman, Gita Negi, Rajesh Sehgal
article en
1 citations

Abstract

This paper examines the impact of technology adoption on Environmental Compliance Management policies in various industries. Its goal is to develop a model illustrating the impact of modern technologies on streamlining compliance, data capture, risk mitigation, and enabling proactive response to potential risks. The methodology proposes a system architecture for the ECM (Environmental Compliance Management) system which incorporates the Internet of Things, Artificial Intelligence, Cloud Computing and facilitates real-time monitoring of environmental parameters and automated reporting. Illustrative results suggest that compliance is achieved at a significantly higher rate, operational cost is lowered, regulatory capture improved, and environmental impact risk reduced with the use of the technologies. This study reveals the essential burden technology can take to offer more intelligent, proficient, and sustainable governance over the environment as well as reducing the burden on the business and the ecology.

International Journal of Environmental Sciences
Openalex Percentile: Top 11%
Big Data and Business Intelligence
2.28
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