Classifying the Breadth of Knowledge Management Frameworks

This study aims to analyze Knowledge Management frameworks and categorize them based on their specification breadth. A total of 27 frameworks, selected from the temporal spectrum spanning 1995 to 2016 and representative of the field of Knowledge Management, were examined using content analysis. This research employs a qualitative, exploratory, descriptive, and bibliographic approach. Among the 27 frameworks examined, 12 were identified as descriptive, while 15 exhibited hybrid characteristics. Additionally, existing typologies lack sufficient detail for successful replication. Consequently, it is imperative to develop structures underpinned by a conjunctive approach. Such structures should provide both a comprehensive overview and detailed prescriptions of the “what,” “why,” “who,” “how,” and “when” aspects of implementing and operationalizing Knowledge Management. The prevalence of hybrid frameworks is notable within the examined set, highlighting the need for an integrated approach that combines breadth and depth. Organizations require a sufficiently comprehensive and detailed roadmap to implement Knowledge Management effectively. This analysis expands upon prior research concerning the classification of Knowledge Management frameworks and introduces a novel and anticipated approach to classifying specification breadth.

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Publication Details

Journal
Brazilian Journal of Information Science research trends
Published
2024-08-08
DOI
https://doi.org/10.36311/1981-1640.2024.v18.e024026
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
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article

Classifying the Breadth of Knowledge Management Frameworks

Vinícius Figueiredo de Faria, Fábio Corrêa, Fabrício Ziviani, Dárlinton Barbosa Feres Carvalho et al.
Brazilian Journal of Information Science research trends
Knowledge Management and Sharing
article

Classifying the Breadth of Knowledge Management Frameworks

Vinícius Figueiredo de Faria, Fábio Corrêa, Fabrício Ziviani, Dárlinton Barbosa Feres Carvalho, Jurema Suely de Araújo Nery Ribeiro
article en

Abstract

This study aims to analyze Knowledge Management frameworks and categorize them based on their specification breadth. A total of 27 frameworks, selected from the temporal spectrum spanning 1995 to 2016 and representative of the field of Knowledge Management, were examined using content analysis. This research employs a qualitative, exploratory, descriptive, and bibliographic approach. Among the 27 frameworks examined, 12 were identified as descriptive, while 15 exhibited hybrid characteristics. Additionally, existing typologies lack sufficient detail for successful replication. Consequently, it is imperative to develop structures underpinned by a conjunctive approach. Such structures should provide both a comprehensive overview and detailed prescriptions of the “what,” “why,” “who,” “how,” and “when” aspects of implementing and operationalizing Knowledge Management. The prevalence of hybrid frameworks is notable within the examined set, highlighting the need for an integrated approach that combines breadth and depth. Organizations require a sufficiently comprehensive and detailed roadmap to implement Knowledge Management effectively. This analysis expands upon prior research concerning the classification of Knowledge Management frameworks and introduces a novel and anticipated approach to classifying specification breadth.

Brazilian Journal of Information Science research trendsVol. 18
Universidade Federal de Minas Gerais (BR), Universidade Fundação Mineira de Educação e Cultura (BR), Federal University of São João del-Rei (BR)
Openalex Percentile: Top 80%
Knowledge Management and Sharing
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Classifying the Breadth of Knowledge Management Frameworks — Vinícius Figueiredo de Faria, Fábio Corrêa, et al. · Brazilian Journal of Information Science research trends (2024) | TGRS Research Map | TGRS