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:: Volume 31, Issue 4 (Summer 2016) ::
2016, 31(4): 1009-1029 Back to browse issues page
Identifying and clustering the Personal Knowledge Management (PKM) systems
Atefeh Sharif , Rezvan Hosseingholizadeh
Assistant Professor Ferdowsi University of Mashhad
Abstract:   (3144 Views)

This paper aims to identify and cluster the Personal Knowledge Management (PKM) systems. To achieve this objective, survey research method was used. In the first phase, 47 systems were identified based on the literature. Then, in the second phase, thirty intentionally selected experts from computer science and information and knowledge science clustered the identified systems in to seven clusters including knowledge retrieving, knowledge evaluating, knowledge originating, knowledge analyzing, knowledge collaborating, knowledge presenting and knowledge securing. Also, these systems are clustered by experts due to the three private, public and interactive domains.

Keywords: Personal knowledge management, Personal knowledge management skills, Personal knowledge management Systems
Full-Text [PDF 890 kb]   (1675 Downloads)    
Type of Study: Research | Subject: Information Technology
Received: 2015/09/2 | Accepted: 2015/12/6 | Published: 2015/12/8
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Sharif A, Hosseingholizadeh R. Identifying and clustering the Personal Knowledge Management (PKM) systems. Journal of Information Processing and Management. 2016; 31 (4) :1009-1029
URL: http://jipm.irandoc.ac.ir/article-1-2934-en.html


Volume 31, Issue 4 (Summer 2016) Back to browse issues page
پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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