Mapping Digital Transformation and Innovation Management: Bibliometric Insights

Dhia Smaali & Abdelwahab Boubbaa

Journal of Innovation Management2026https://doi.org/10.24840/2183-0606_013.004_0002article
AJG 1ABDC C
Weight
0.50

What the paper says

This bibliometric study examines the intersection of digital transformation (DT) and innovation management (IM) from 2014 to 2024, aiming to track research growth, identify leading contributors, and highlight emerging themes. A total of 1,576 publications were retrieved from Scopus using a targeted query, with no restrictions on language or document type. Bibliometric performance analysis and science mapping were conducted with Biblioshiny (R) and VOSviewer to examine sources, co-authorship, co-citation, and keyword clusters. The results indicate exponential growth after 2018, with Europe and China emerging as leading producers. Influential outlets include Sustainability, Technological Forecasting and Social Change, and the European Journal of Innovation Management. Intellectual anchors center on dynamic capabilities, open innovation, and digital platforms, while emerging clusters highlight artificial intelligence, sustainability, and enterprise resource management (ERM). Collaboration remains uneven, with Africa absent and China largely dominated by single-country outputs. This study provides the first Scopus-based bibliometric analysis covering a decade of research on DT–IM, offering integrative insights for theory, practice, and policy.

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https://doi.org/https://doi.org/10.24840/2183-0606_013.004_0002

Or copy a formatted citation

@article{dhia2026,
  title        = {{Mapping Digital Transformation and Innovation Management: Bibliometric Insights}},
  author       = {Dhia Smaali & Abdelwahab Boubbaa},
  journal      = {Journal of Innovation Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.24840/2183-0606_013.004_0002},
}

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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.