How TechnologyAffects The Knowledge Management Cycles:AStudy Of The Past, Present,And Future Impacts

Artificial intelligence (AI) and Big Data are fundamentally transforming the way we live, impacting not only daily life but also the manner in which organizations acquire, communicate, and generate knowledge. This transformation is deeply embedded in contemporary society and carries significant implications for knowledge management (KM). In recent years, a dominant knowledge management framework has been widely recognized as an effective approach for mapping the knowledge management cycle. This is exemplified by Dalkir's model, elaborated in his work "A Holistic Vision of the Knowledge Management Cycle". The emergence of AI and Big Data raises critical questions about the traditional paradigms of the knowledge management cycle. How does the integration of these technologies reshape our understanding of knowledge acquisition, dissemination, and creation within the framework of the knowledge management cycle? Further exploration is required to assess how AI-driven automation and data analytics alter the processes outlined in Dalkir's model, particularly in the context of organizational decision-making and innovation.

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Publication Details

Journal
IOSR Journal of Business and Management
Published
2024-12-01
DOI
https://doi.org/10.9790/487x-2612090112
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

How TechnologyAffects The Knowledge Management Cycles:AStudy Of The Past, Present,And Future Impacts

Flávio Bortolozzi, Nelson Tenório, Naamã Mendes
IOSR Journal of Business and Management
Big Data and Business Intelligence
article

How TechnologyAffects The Knowledge Management Cycles:AStudy Of The Past, Present,And Future Impacts

Flávio Bortolozzi, Nelson Tenório, Naamã Mendes
article en

Abstract

Artificial intelligence (AI) and Big Data are fundamentally transforming the way we live, impacting not only daily life but also the manner in which organizations acquire, communicate, and generate knowledge. This transformation is deeply embedded in contemporary society and carries significant implications for knowledge management (KM). In recent years, a dominant knowledge management framework has been widely recognized as an effective approach for mapping the knowledge management cycle. This is exemplified by Dalkir's model, elaborated in his work "A Holistic Vision of the Knowledge Management Cycle". The emergence of AI and Big Data raises critical questions about the traditional paradigms of the knowledge management cycle. How does the integration of these technologies reshape our understanding of knowledge acquisition, dissemination, and creation within the framework of the knowledge management cycle? Further exploration is required to assess how AI-driven automation and data analytics alter the processes outlined in Dalkir's model, particularly in the context of organizational decision-making and innovation.

IOSR Journal of Business and ManagementVol. 26(12)
Openalex Percentile: Top 60%
Big Data and Business Intelligence
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