2012/09/06 by Mohamed Amine Chatti · 1 citation
Decision Sciences · Social Sciences · Psychology · Engineering · #Personal Information Management and User Behavior #Knowledge Management and Sharing #Identity, Memory, and Therapy #Knowledge management #Personal knowledge management #Computer science #Knowledge value chain #Knowledge worker #Process (computing) #Perspective (graphical) #Knowledge engineering #Value (mathematics) #Organizational learning #Engineering #Artificial intelligence #Work (physics)
paper · doi:10.1108/13673271211262835
openalex publication_date 2012/09/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Purpose This article aims to introduce the personal knowledge network (PKN) model as an alternative model to knowledge management (KM) and to discuss whether personal knowledge management (PKM) is better adapted to the demands of the new knowledge environments. The PKN model views knowledge as a personal network and represents a knowledge ecological approach to KM. Design/methodology/approach KM and PKM have attracted attention over the past two decades and are considered as important means to increase organizational and individual performance. In this article, the author reviews previous models of KM and PKM and explores their failure to address the problem of knowledge worker performance and to cope with the constant change and critical challenges of the new knowledge era. The author further highlights the crucial need for new KM models that have the potential to overcome the shortcomings of previous models. In light of these shortcomings, the article introduces and discusses the PKN model as an alternative model to KM and PKM that is better adapted to the demands of the new knowledge environments. Findings Unlike traditional KM/PKM models which view knowledge as a thing or process, the PKN model views knowledge as a personal network and represents a knowledge ecological approach to KM. Originality/value The article focuses on personal knowledge and the links to networks and knowledge ecologies in an innovative way for consideration within KM.