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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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The Future Trajectory of Digital and Sustainable Innovation in Global Marketing Strategies.

Authors: University of Technology Malaysia; Azmir, Muhammad Farhan; Mohamed, Ruzimi;

The Future Trajectory of Digital and Sustainable Innovation in Global Marketing Strategies.

Abstract

Abstract This review examines the future trajectory of digital and sustainable innovations in global marketing strategies, emphasizing their growing interconnectedness amid technological advancements and rising environmental concerns. It synthesizes current theoretical frameworks such as AI-driven marketing and sustainable marketing principles, highlighting key innovations including artificial intelligence, big data analytics, immersive technologies like the metaverse, and circular economy-driven marketing models. The review identifies emerging trends such as virtual influencers, precision marketing under privacy constraints, and integrative frameworks that combine digital capabilities with sustainability goals. Additionally, it addresses ethical challenges related to data privacy, transparency, and consumer trust, alongside the need for regulatory oversight in AI-enhanced marketing practices. Future research directions emphasize interdisciplinary approaches, regional adaptations, and methodological advancements leveraging machine learning and big data experimental designs. This synthesis provides a comprehensive understanding of how digital and sustainable marketing innovations are shaping future global marketing strategies and identifies critical gaps for further exploration.

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    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).
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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