21.12.2013 Views

READIT - 2009 - Indira Gandhi Centre for Atomic Research

READIT - 2009 - Indira Gandhi Centre for Atomic Research

READIT - 2009 - Indira Gandhi Centre for Atomic Research

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

upon by indwelling and is the basis <strong>for</strong> the <strong>for</strong>mation of explicit knowledge. It is<br />

connected to values, perceptions and beliefs. The statement “We can know more than we<br />

can tell” of Polanyi underscores the inexpressible nature of tacit knowledge. However<br />

we use the term ‘explicit knowledge’ where the knowledge is already available explicitly<br />

in the <strong>for</strong>m of documents , audio/ video recordings etc in electronic or non-electronic<br />

<strong>for</strong>m and the term ‘tacit knowledge’ where the knowledge still resides in the minds of<br />

people in the <strong>for</strong>m of experience, feelings, opinions, intuition etc. We feel that certain<br />

percentage of the tacit knowledge can be converted into explicit by suitable knowledge<br />

elicitation methods. Some authors use the term ‘implicit knowledge’ to refer to this<br />

component of tacit knowledge which can be converted into explicit <strong>for</strong>m. From the<br />

context of organization, knowledge can also be classified into core, advanced and<br />

innovative(Zack,1999). According to Zack, core knowledge is that minimum scope and<br />

level of knowledge required just to “play the game”. Advanced knowledge enables an<br />

organization to be competitively viable. Innovative knowledge enables an organization to<br />

lead its industry and competitors and to significantly differentiate itself from its<br />

competitors.<br />

One of the definitions of Knowledge Management(KM) is that “Knowledge<br />

Management is the process of capturing a Company’s collective expertise, wherever, it<br />

resides, in databases, in paper or in people’s heads and distributing it wherever it can<br />

produce maximum pay off” (Hibbard,1997). Here expertise is used as synonym <strong>for</strong><br />

knowledge. Also the definition considers explicit knowledge which is available in paper<br />

or in computers and tacit knowledge which resides in the minds of the people. The main<br />

concept is to make available the collective or individual expert’s knowledge wherever it<br />

improves the per<strong>for</strong>mance. In this definition the context of KM is the organization.<br />

However the essence of the definition is ‘make available the collective knowledge to<br />

improve per<strong>for</strong>mance’. Collective knowledge can be created by combining knowledge<br />

from various sources, <strong>for</strong> which different sources of knowledge should be made<br />

available. It essentially means individual knowledge needs to be shared. In order to make<br />

the collective knowledge, individual knowledge needs to be shared. The purpose of<br />

making collective knowledge available is to improve per<strong>for</strong>mance. Hence the ultimate<br />

goal is to improve per<strong>for</strong>mance, leveraging on the collective knowledge. The two<br />

important concepts which can be distilled from the above discussions are “knowledge<br />

sharing” and “per<strong>for</strong>mance improvement”. Knowlege is possessed by people, and hence<br />

it is one of the important sub-systems of KM. Similarly certain processes are required to<br />

implement the concepts of KM. Also Technology enables the implementation. And<br />

finally it is the ‘knowledge’ that is shared and enables the per<strong>for</strong>mance improvement.<br />

Hence we can identify ‘People’, ‘Process’, ‘Technology’ and ‘Knowledge’ as the<br />

important sub-systems of KM. Tracing the practice of the concepts of KM, since the<br />

early civilization we can identify four different era in the history of KM. The first era can<br />

be called as KM0.0, which is characterized by in<strong>for</strong>mal and unsystematic practices of<br />

KM, though the term KM was not in existence at that time. The second era called KM1.0<br />

is characterized by <strong>for</strong>mal, disciplined and systematic practices of KM, after the<br />

introduction of the term KM. The third era called KM2.0 is characterized by agile<br />

practices and ‘wisdom of the crowd’. The fourth era called KM3.0 is characterized by<br />

adoption of Knowledge Engineering practices with higher thrust on Return On

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!