Digital transformation for sustainable development: A systematic exploration and bibliometric analysis

Nikita Bhati & Ruchi Garg

International Journal of Technology Management and Sustainable Development2026https://doi.org/10.1386/tmsd_00113_1article
AJG 1ABDC C
Weight
0.50

What the paper says

In light of growing concern regarding the planet’s environmental future, it is important for companies to prioritize sustainable development (SD) in their digital transformation (DT) initiatives, driving growth that is both environmentally responsible and technologically advanced. The aim of this study is to document and synthesize the trends in the field of DT and SD over the period of time. By analysing 976 Scopus-indexed documents, the review uncovers a rapidly growing body of literature. The literature is globally diverse, with notable contributions from both developing and developed countries. Citation analysis identified key authors and influential works that have played an important role in shaping this field. An author co-citation analysis and keyword co-occurrence analysis support these findings, highlighting the conceptual framework of the DT and SD domain. The systematic process of mapping and analysing data helps identify key research areas, crucial research topics, the evolution of publications over time, countries, collaboration across authors, co-occurrence of authors’ keywords and potential avenues for future research. A lot of individuals in the field are directly affected by this study, for instance, consultants, managers and policy-makers.

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https://doi.org/https://doi.org/10.1386/tmsd_00113_1

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@article{nikita2026,
  title        = {{Digital transformation for sustainable development: A systematic exploration and bibliometric analysis}},
  author       = {Nikita Bhati & Ruchi Garg},
  journal      = {International Journal of Technology Management and Sustainable Development},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1386/tmsd_00113_1},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.