The construction and application of knowledge navigator model (KNM™): An evaluation of knowledge management maturity

Ping Jung Hsieh, Binshan Lin, Chinho Lin

Research output: Contribution to journalArticlepeer-review

111 Citations (Scopus)

Abstract

This study develops a knowledge navigator model (KNM™) to navigate knowledge management (KM) implementation journey. The KNM comprises two frameworks: evaluation and calculation framework. Qualitative research methods, including a literature review, in-depth interviews, focus groups and content analysis, are conducted to construct the evaluation framework of KNM. An algorithm model is proposed in the calculation framework and a 30 cases survey was employed to obtain the initial version of the score ranges used to differentiate maturity levels. Several propositions and the corresponding KNM were constructed. We define the KM maturity level into five stages: knowledge chaotic stage, knowledge conscientious stage, KM stage, KM advanced stage, and KM integration stage. The evaluation framework of KNM consists of three aspects: three target management objects (culture, KM process, and information technology), 68 KM activities, and 16 key areas (KAs). The initial version of the score ranges was identified. The study results can be referenced and the methodology can be applied to other countries, although the sample is confined to industries in Taiwan.

Original languageEnglish
Pages (from-to)4087-4100
Number of pages14
JournalExpert Systems With Applications
Volume36
Issue number2 PART 2
DOIs
Publication statusPublished - 2009 Mar

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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