Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies

Reza Rostamzadeh et al.

Journal of Innovation & Knowledge2026https://doi.org/10.1016/j.jik.2025.100923article
AJG 1ABDC C
Weight
0.37

What the paper says

Revised: Given the increasing emphasis on knowledge management (KM) in academic circles and the growing body of research literature in this field, the researcher conducted a meta-analysis using the Scopus database. The review focused on data extracted between 1996 and 2024 and included functional, graphical, and content analyses. An initial search of Scopus retrieved 2495 scientific documents. The researcher then filtered the results using the database tools for publication year, document type, Scopus classification, and language. After preprocessing, 175 scientific documents remained for inclusion in the meta-synthesis. The researcher performed data visualization and analysis in RStudio, VOSviewer, and MAXQDA software. The main contributions of this research are as follows: (1) identifying the most influential authors, countries, journals, universities, and articles within the field; (2) mapping the dimensions of the field and identifying keyword gaps through content analysis; and (3) conducting thematic analysis and pinpointing central components.

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https://doi.org/https://doi.org/10.1016/j.jik.2025.100923

Or copy a formatted citation

@article{reza2026,
  title        = {{Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies}},
  author       = {Reza Rostamzadeh et al.},
  journal      = {Journal of Innovation & Knowledge},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jik.2025.100923},
}

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Evidence weight

0.37

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

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
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.