Adoption of digital technologies in operation to improve sustainability: a bibliometric and content analysis for future studies

Abstract The increasing adoption of digital technologies in operations has stimulated growing academic interest in their potential to enhance organizational sustainability. Nevertheless, prior research remains fragmented across technological, operational, and sustainability perspectives, limiting the development of an integrated understanding of how digitalization strategically enables sustainable operations. This study aims to consolidate this fragmented body of knowledge by developing an integrative conceptual framework for understanding digital technology adoption in operations as a driver of sustainability. Methodologically, the study applies a combined bibliometric and systematic content analysis of peer-reviewed articles retrieved from major academic databases. Bibliometric techniques are employed to examine publication trends, leading journals, influential countries, institutional affiliations, keyword co-occurrences, thematic clusters, and co-authorship networks. Content analysis is used to synthesize theoretical and empirical evidence within the identified clusters. The results indicate sharp growth in publications over the past decade, with dominant contributions from China, the USA, and European countries, and the emergence of strong collaborative networks among leading universities and research centers. Keyword co-occurrence and cluster analyses reveal four major research streams: Industry 4.0 and smart manufacturing, data-driven decision support, digital supply chain transparency, and enabling the circular economy. Content analysis further demonstrates that digital technologies, including artificial intelligence, big data analytics, blockchain, and the Internet of Things, contribute to environmental, social, and economic sustainability through efficiency gains, resource optimization, transparency improvements, the facilitation of circularity, and the development of operational resilience. Beyond mapping publication patterns, the study advances an integrative conceptual framework that positions digital technologies as strategic enablers of sustainability’s operationalization. The study concludes that the benefits of sustainability from digitalization are contingent upon the strategic integration of digital technologies within operational decision-making processes. Managerially, the findings guide firms in prioritizing digital investments to achieve sustainability objectives, while policy-wise, they inform the formulation of digitalization strategies for sustainable industrial development. Limitations arise from the reliance on secondary data and database coverage, suggesting that future research should empirically validate the proposed framework across industries and institutional contexts.

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Publication Details

Journal
Future Business Journal
Published
2026-01-30
DOI
https://doi.org/10.1186/s43093-026-00745-5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Adoption of digital technologies in operation to improve sustainability: a bibliometric and content analysis for future studies

Walid Qarar, Md Abdullahel Kafi, Rahmanwali Sahar, Md. Abu Jahid et al.
Future Business Journal
Digital Transformation in Industry
article

Adoption of digital technologies in operation to improve sustainability: a bibliometric and content analysis for future studies

Walid Qarar, Md Abdullahel Kafi, Rahmanwali Sahar, Md. Abu Jahid, Javidullah Iqbal
article en

Abstract

Abstract The increasing adoption of digital technologies in operations has stimulated growing academic interest in their potential to enhance organizational sustainability. Nevertheless, prior research remains fragmented across technological, operational, and sustainability perspectives, limiting the development of an integrated understanding of how digitalization strategically enables sustainable operations. This study aims to consolidate this fragmented body of knowledge by developing an integrative conceptual framework for understanding digital technology adoption in operations as a driver of sustainability. Methodologically, the study applies a combined bibliometric and systematic content analysis of peer-reviewed articles retrieved from major academic databases. Bibliometric techniques are employed to examine publication trends, leading journals, influential countries, institutional affiliations, keyword co-occurrences, thematic clusters, and co-authorship networks. Content analysis is used to synthesize theoretical and empirical evidence within the identified clusters. The results indicate sharp growth in publications over the past decade, with dominant contributions from China, the USA, and European countries, and the emergence of strong collaborative networks among leading universities and research centers. Keyword co-occurrence and cluster analyses reveal four major research streams: Industry 4.0 and smart manufacturing, data-driven decision support, digital supply chain transparency, and enabling the circular economy. Content analysis further demonstrates that digital technologies, including artificial intelligence, big data analytics, blockchain, and the Internet of Things, contribute to environmental, social, and economic sustainability through efficiency gains, resource optimization, transparency improvements, the facilitation of circularity, and the development of operational resilience. Beyond mapping publication patterns, the study advances an integrative conceptual framework that positions digital technologies as strategic enablers of sustainability’s operationalization. The study concludes that the benefits of sustainability from digitalization are contingent upon the strategic integration of digital technologies within operational decision-making processes. Managerially, the findings guide firms in prioritizing digital investments to achieve sustainability objectives, while policy-wise, they inform the formulation of digitalization strategies for sustainable industrial development. Limitations arise from the reliance on secondary data and database coverage, suggesting that future research should empirically validate the proposed framework across industries and institutional contexts.

Future Business JournalVol. 12(1)
Oakland University (US), Kabul University (AF), Muhammadiyah University of Yogyakarta (ID), Nangarhar University (AF), Khost University (AF)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Digital Transformation in Industry
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