Conceptual model smart knowledge mapping with process and activity combination quadrant: Finalization and implementation

Shidiq Al Hakim, Dana Indra Sensuse, Indra Budi

Research output: Contribution to journalArticlepeer-review

Abstract

In modern times, the digital transformation of organizations and communities is a necessity to achieve a competitive advantage. Therefore, the ability to map the potential of scattered and diverse digital knowledge sources automatically and quickly is urgent for identifying critical knowledge so that organizations can effectively carry out knowledge management. This research is a finalization of the initial smart knowledge mapping model to fit out the limited scope of validation studied previously; this was done by conducting a mix-method approach methodology to examine validation using interviews, forum group discussions (FGD) and questionnaires. The results of our questionnaire validation were analyzed using the Fuzzy Delphi Method to determine the level of agreement between the experts. This study proposed conceptual model smart knowledge mapping, which consists of eleven components: leadership, IT infrastructure, environment, objective, stakeholder, business process, KM process, valuable digital activity, knowledge resource, advanced computing and KMap content. This study also proposed a process and activity combination quadrant to determine the availability of knowledge resources for implementation of this model.

Original languageEnglish
Article number100393
JournalJournal of High Technology Management Research
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Expert locator
  • Knowledge management
  • Researcher finding
  • Smart knowledge mapping
  • Smart model

Fingerprint Dive into the research topics of 'Conceptual model smart knowledge mapping with process and activity combination quadrant: Finalization and implementation'. Together they form a unique fingerprint.

Cite this