The Maturity of Knowledge-Based Management in Finnish Central-Government Organizations: The Need for Managing the Knowledge-Based Management

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Abstract

Assessing the maturity of knowledge-based management (KBM) in public sector organizations is crucial for several reasons. Firstly, it helps identifying strengths and weaknesses, which enables organizations to improve their knowledge management practices. Secondly, it serves as a standard for evaluating the effectiveness of knowledge resource management, which can enhance decision-making, problem-solving, and operational efficiency. Thirdly, KBM maturity assessment aids in prioritizing investments, allocating resources, and improving return on investment. Fourthly, evaluating KBM maturity can help identify best practices and lessons learned, leading to better knowledge management practices across organizations. Finally, studying KBM maturity can demonstrate an organization’s commitment to effective knowledge management, increasing transparency and accountability. This study assesses the maturity of KBM in Finnish Central-Government Organizations by surveying eight organizations and analyzing the data. The study identifies areas that require more attention, where the need of managing the KBM being highlighted as a significant area for improvement. This research provides insights for researchers and practitioners to address KBM themes that need further attention.

Original languageEnglish
Title of host publicationElectronic Government
Subtitle of host publication22nd IFIP WG 8.5 International Conference, EGOV 2023, Budapest, Hungary, September 5–7, 2023, Proceedings
EditorsIda Lindgren, Csaba Csáki, Evangelos Kalampokis, Marijn Janssen, Gabriela Viale Pereira, Shefali Virkar, Efthimios Tambouris, Anneke Zuiderwijk
PublisherSpringer
Pages397-413
Number of pages17
ISBN (Print)9783031411373
DOIs
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventIFIP International Conference, EGOV - Budapest, Hungary
Duration: 5 Sept 20237 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14130 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceIFIP International Conference, EGOV
Country/TerritoryHungary
CityBudapest
Period5/09/237/09/23

Keywords

  • Knowledge Management
  • Knowledge-based Management
  • Maturity-model
  • Public Sector

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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