Means-ends based know-how mapping

Arnon Sturm, Daniel Gross, Jian Wang, Eric Yu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Purpose: The purpose of this paper is to report on research that aims to make knowledge, and in particular know-how, more easily accessible to both academic and industrial communities, as well as to the general public. The paper proposes a novel approach to map out know-how information, so all knowledge stakeholders are able to contribute to the knowledge and expertise accumulation, as well as using that knowledge for research and applying expertise to address problems. Design/methodology/approach: This research followed a design science approach in which mapping of the know-how information was done by the research team and then tested with graduate students. During this research, the mapping approach was continuously evaluated and refined, and mapping guidelines and a prototype tool were developed. Findings: Following an evaluation with graduate students, it was found that the know-how maps produced were easy to follow, allowed continuous evolution, facilitated easy modification through provided modularity capabilities, further supported reasoning about know-how and overall provided adequate expressiveness. Furthermore, we applied the approach with various domains and found that it was a good fit for its purpose across different knowledge domains. Practical implications: This paper argues that mapping out know-how within research and industry communities can further improve resource (knowledge) utilization, reduce the phenomena of “re-inventing the wheel” and further create linkage across communities. Originality/value: With the qualities mentioned above, know-how maps can both ease and support the increase of access to expert knowledge to various communities, and thus, promote re-use and expansion of knowledge for various purposes. Having an explicit representation of know-how further encourages innovation, as knowledge from various domains can be mapped, searched and reasoned, and gaps can be identified and filled.

Original languageEnglish
Pages (from-to)454-473
Number of pages20
JournalJournal of Knowledge Management
Volume21
Issue number2
DOIs
StatePublished - 1 Jan 2017

Keywords

  • Domain exploration
  • Knowledge mapping
  • Modeling
  • Visualization

ASJC Scopus subject areas

  • Strategy and Management
  • Management of Technology and Innovation

Fingerprint

Dive into the research topics of 'Means-ends based know-how mapping'. Together they form a unique fingerprint.

Cite this