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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Application of Digital Technology in Environmental Resource Management for Sustainable Future

Authors: Abah O. Kaspa; Adejo Idachaba;

Application of Digital Technology in Environmental Resource Management for Sustainable Future

Abstract

The rapid advancement of digital technologies has revolutionized the way governments and organizations approach environmental resource management. This paper examines the role of e- governance in harnessing the power of digital technologies to foster sustainable futures. The study explores how the adoption of technologies such as artificial intelligence, big data analytics, and the Internet of Things can transform the delivery of environmental services, optimize organizational processes, and create new value for citizens and stakeholders. Drawing on a systematic review of the literature, the paper presents a conceptual framework that outlines the key factors influencing the successful implementation of e- governance initiatives in environmental resource management. The findings suggest that effective e- governance can help mitigate the negative effects of human activity on the environment, improve waste management and pollution control, and promote the sustainable use of natural resources. However, the paper also underscores the challenges and potential risks associated with the digital transformation of environmental governance, highlighting the need for robust governance frameworks, data security measures, and public-private collaboration. The study concludes by outlining a research agenda to further explore the intersection of e-governance, digital technologies, and environmental sustainability.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green