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

  • Authors:

  • Ping Jung Hsieh;Binshan Lin;Chinho Lin

  • Affiliations:

  • Graduate Institute of Human Resource and Knowledge Management, National Kaohsiung Normal University, Kaohsiung, Taiwan;College of Business Administration, Louisiana State University in Shreveport, One University Place, Shreveport, LA 71115, USA;Department of Industrial and Information Management and Institute of Information Management, National Cheng Kung University, Tainan, Taiwan

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

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Abstract

This study develops a knowledge navigator model (KNM(TM)) 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.