C. Amaravadi, and I. Lee. Knowledge and Process Management, 12 (1):
65--76(2005)
Abstract
Many researchers are of the view that a firm's knowledge assets include
its structure, culture, processes, employees and physical artifacts.
The knowledge management (KM) literature has tended to emphasize
employee knowledge as a locus for KM efforts. While this viewpoint
is perfectly rational and justifiable, there is also a considerable
amount of knowledge embedded in the firm's operating procedures.
In this paper, we espouse viewing organizational knowledge from this
perspective and propose a framework to manage process knowledge.
Starting with a definition, classification of processes, and a characterization
of the knowledge generation process, we provide seven dimensions
by which process knowledge can be viewed: structure, personnel and
coordination, performance and tools, discourse, results, quality
and implications. They are intended to serve as a starting point
for managing process knowledge. The dimensions are illustrated with
several examples and implications of the framework are pointed out.
Copyright � 2005 John Wiley & Sons, Ltd.
%0 Journal Article
%1 AmLe05
%A Amaravadi, Chandra S.
%A Lee, In
%D 2005
%J Knowledge and Process Management
%K DISS model modelling process processknowledge processknowledgemanagement toread
%N 1
%P 65--76
%T The dimensions of process knowledge
%U http://dx.doi.org/10.1002/kpm.218
%V 12
%X Many researchers are of the view that a firm's knowledge assets include
its structure, culture, processes, employees and physical artifacts.
The knowledge management (KM) literature has tended to emphasize
employee knowledge as a locus for KM efforts. While this viewpoint
is perfectly rational and justifiable, there is also a considerable
amount of knowledge embedded in the firm's operating procedures.
In this paper, we espouse viewing organizational knowledge from this
perspective and propose a framework to manage process knowledge.
Starting with a definition, classification of processes, and a characterization
of the knowledge generation process, we provide seven dimensions
by which process knowledge can be viewed: structure, personnel and
coordination, performance and tools, discourse, results, quality
and implications. They are intended to serve as a starting point
for managing process knowledge. The dimensions are illustrated with
several examples and implications of the framework are pointed out.
Copyright � 2005 John Wiley & Sons, Ltd.
@article{AmLe05,
abstract = {Many researchers are of the view that a firm's knowledge assets include
its structure, culture, processes, employees and physical artifacts.
The knowledge management (KM) literature has tended to emphasize
employee knowledge as a locus for KM efforts. While this viewpoint
is perfectly rational and justifiable, there is also a considerable
amount of knowledge embedded in the firm's operating procedures.
In this paper, we espouse viewing organizational knowledge from this
perspective and propose a framework to manage process knowledge.
Starting with a definition, classification of processes, and a characterization
of the knowledge generation process, we provide seven dimensions
by which process knowledge can be viewed: structure, personnel and
coordination, performance and tools, discourse, results, quality
and implications. They are intended to serve as a starting point
for managing process knowledge. The dimensions are illustrated with
several examples and implications of the framework are pointed out.
Copyright � 2005 John Wiley & Sons, Ltd.},
added-at = {2008-08-13T11:00:11.000+0200},
author = {Amaravadi, Chandra S. and Lee, In},
biburl = {https://www.bibsonomy.org/bibtex/2e1a425d880d8cbd7e8339f0868b8ca07/michael},
file = {AmLe05.pdf:processes\\AmLe05.pdf:PDF},
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journal = {Knowledge and Process Management},
keywords = {DISS model modelling process processknowledge processknowledgemanagement toread},
number = 1,
owner = {prilla},
pages = {65--76},
timestamp = {2008-08-13T12:01:18.000+0200},
title = {The dimensions of process knowledge},
url = {http://dx.doi.org/10.1002/kpm.218},
volume = 12,
year = 2005
}