Process Approach to Knowledge Management

Marcin Kotarba

Abstract

The article points out the limited availability of practical implementation guidelines, methods and tools as one of the core issues in the widespread usage of knowledge management (KM) in organizations. The process approach is proposed as an efficient way to understand the scope of knowledge management and to plan its development or improvement, in line with organizational strategy. The role of information technology (IT) in supporting knowledge management is emphasized and key functional groups of IT systems are listed. A sample section of the detailed process model is presented for the KM resource identification master process, with a BPMN graphical visualization. Both the process model and the detailed specification of IT systems supporting knowledge management are considered by the author as complex structures that require to be hosted in a dedicated support environment. Key assumptions of a tool, named KMBoost, are outlined to show how a simple, but interactive toolset can foster the understanding and usage of the KM process model. In the concluding remarks a high level SWOT analysis of the KM process model and the KMBoost tool is conducted.
Author Marcin Kotarba (FoM)
Marcin Kotarba,,
- Faculty of Management
Journal seriesFoundations of Management, ISSN 2080-7279, e-ISSN 2300-5661, (B 4 pkt)
Issue year2011
Vol3
No1
Pages67-80
Publication size in sheets0.65
Keywords in Englishorganizational knowledge; knowledge management; knowledge activities; knowledge management model; process model; process hierarchy; process approach to knowledge management; process visualization; business process modeling notation (BPMN); process evaluation and scoring
ASJC Classification1408 Strategy and Management
DOIDOI:10.2478/v10238-012-0036-5
URL http://www.degruyter.com/view/j/fman.2011.3.issue-1/v10238-012-0036-5/v10238-012-0036-5.xml?format=INT
Languageen angielski
File
v10238-012-0036-5.pdf 399.04 KB
Score (nominal)4
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.407
Citation count*2 (2020-01-21)
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