Artificial intelligence in knowledge capture and transfer: breaking down organizational silos

• Autorzy: Sira Mariya

Identyfikatory

DOI

10.2478/czoto-2024-0027

• Języki publikacji: EN

Abstrakty

EN

Effective knowledge management is crucial for organizational success, but persistent challenges exist in capturing, transferring, and utilizing institutional knowledge. This research examines the intersection of artificial intelligence (AI) capabilities with knowledge management practices, focusing on the potential of AI to overcome organizational silos. The study employs a mixed-method approach, including a systematic literature review, content analysis of implementation cases, and comparative analysis. The findings reveal that successful AI integration in knowledge management requires a balanced approach addressing both technical implementation and organizational readiness. Key success factors include robust data governance, strong leadership support, and comprehensive stakeholder engagement. The research provides valuable insights for organizations seeking to leverage AI technologies for improved knowledge management and organizational effectiveness.

Słowa kluczowe

EN

artificial intelligence; knowledge management; organizational silos; digital transformation; innovation

PL

sztuczna inteligencja; zarządzanie wiedzą; transformacja cyfrowa; innowacja

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2024
• Tom: Vol. 6, iss. 1
• Strony: 251--259
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Sira Mariya

• Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, Poland
• Joint Doctoral School, Silesian University of Technology, Poland

• https://orcid.org/0000-0002-9970-1549

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).