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The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Digital Transformation and Environmental Sustainability: A Review and Research Agenda

Open access
Feroz, Abdul Karim, Zo, Hangjung, Chiravuri, Ananth·2021·Sustainability

Abstract

Digital transformation refers to the unprecedented disruptions in society, industry, and organizations stimulated by advances in digital technologies such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things (IoT). Presently, there is a lack of studies to map digital transformation in the environmental sustainability domain. This paper identifies the disruptions driven by digital transformation in the environmental sustainability domain through a systematic literature review. The results present a framework that outlines the transformations in four key areas: pollution control, waste management, sustainable production, and urban sustainability. The transformations in each key area are divided into further sub-categories. This study proposes an agenda for future research in terms of organizational capabilities, performance, and digital transformation strategy regarding environmental sustainability.

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Crossref · 10.3390/su13031530

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Metadata

Authors
Feroz, A. K., Zo, H., & Chiravuri, A.
Venue
Sustainability
Publisher
MDPI AG
Published
2021-02-01
Volume
13
Issue
3
Pages
1530
ISSN
2071-1050 (ISSN-L)
OpenAlex
W3129145601
Cited by
714
References
11
FWCI
52.27
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Digital Transformation and Environmental Sustainability: A Review and Research Agenda. https://app.cochat.ai/papers/10.3390/su13031530
The paper
Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital Transformation and Environmental Sustainability: A Review and Research Agenda. Sustainability. https://doi.org/10.3390/su13031530

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.