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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Digital Transformation for Sustainable Competitiveness: A Systematic Literature Review of Technologies, Capabilities, and Sustainability Outcomes

Authors: Hamacha, Nesrine;

Digital Transformation for Sustainable Competitiveness: A Systematic Literature Review of Technologies, Capabilities, and Sustainability Outcomes

Abstract

This systematic literature review examines how digital transformation enables sustainable competitiveness across industries. By analyzing 120 peer-reviewed articles published between 2014 and 2024, the review identifies four core technological drivers—artificial intelligence, big data analytics, Internet of Things, and blockchain—and evaluates their influence on environmental, social, and economic sustainability outcomes. Findings show that digital capabilities, such as sensing, integration, and reconfiguration, serve as the primary mechanisms linking digital technologies to sustainable innovation. However, social sustainability measures remain limited, and long-term digital impact is underexplored. The review proposes a conceptual model integrating digital technologies, dynamic capabilities, and sustainability performance, and highlights key gaps for future research, particularly in SMEs, cross-industry datasets, and standardized digital sustainability metrics. The study contributes to the growing discourse on responsible digitalization by offering theoretical, methodological, and policy-oriented recommendations.

This dataset contains the full text of a systematic literature review titled “Digital Transformation for Sustainable Competitiveness: A Systematic Literature Review of Technologies, Capabilities, and Sustainability Outcomes.” The study synthesizes the findings of 120 peer-reviewed academic articles published between 2014 and 2024, focusing on the intersection of digital transformation and sustainability. It evaluates how digital technologies—including AI, big data analytics, IoT, and blockchain—enable sustainable innovation and performance through dynamic capabilities. The uploaded files include: Full review paper (PDF / Word) Conceptual model diagrams PRISMA flow diagram Analytical tables summarizing methodologies, findings, gaps, and future research directions This research aims to support scholars, practitioners, and policymakers working on responsible digitalization, ESG strategies, and sustainable business transformation.

Keywords

Sustainable Competitiveness, Blockchain, Sustainability, ESG Performance, Artificial Intelligence, Big Data Analytics, Sustainable Innovation, Digital Transformation, Circular Economy, Dynamic Capabilities, Internet of Things (IoT), Systematic Literature Review

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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).
    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).
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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
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