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Examining and validating the potential factors of knowledge management in Indian IT industries

N.A. Sreekumar et al.

International Journal of Process Management and Benchmarking2026https://doi.org/10.1504/ijpmb.2026.151982article
AJG 1
Weight
0.50

What the paper says

Effective knowledge management has become essential for organisational success in the dynamic information technology (IT) landscape. This study tries to confirm the elements that, contribute to effective knowledge management practices. A structured survey questionnaire was administered to a diverse sample of Indian IT professionals, ranging from software developers to project managers, to capture their insights into knowledge management practices in their respective organisations. A total of 343 responses were collected of which 320 responses complete in all forms were used for the study. The study uses factor analysis to identify the important dimensions of knowledge management from Indian IT professionals' perspective. The study identifies three dimensions of knowledge management which influences the KM practices in the Indian IT sector. The factors identified are knowledge creation, knowledge sharing and knowledge storage. Confirmatory factor analysis (CFA) method is used to verify the factor structure of a set of observed variables.

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https://doi.org/https://doi.org/10.1504/ijpmb.2026.151982

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@article{n.a.2026,
  title        = {{Examining and validating the potential factors of knowledge management in Indian IT industries}},
  author       = {N.A. Sreekumar et al.},
  journal      = {International Journal of Process Management and Benchmarking},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijpmb.2026.151982},
}

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Examining and validating the potential factors of knowledge management in Indian IT industries

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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.