Web-based Learning Solutions for Communities of Practice
Web-based Learning Solutions for Communities of Practice
Web-based Learning Solutions for Communities of Practice
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
212<br />
A Proposed Framework <strong>for</strong> Designing Sustainable <strong>Communities</strong> <strong>for</strong> Knowledge Management Systems<br />
We elaborate on the process and method <strong>for</strong> arriving<br />
at our design recommendations, and discuss<br />
each recommendation in detail. We next provide<br />
a discussion, and conclude with our suggestions<br />
<strong>for</strong> future research.<br />
LITERATURE REVIEW<br />
The primary goal <strong>of</strong> this research is to contribute<br />
to literature in KM success. We provide a brief<br />
review <strong>of</strong> literature in knowledge management and<br />
knowledge management success to summarize the<br />
state <strong>of</strong> current research. We then focus on the<br />
literature in communities <strong>of</strong> practice, which we<br />
use to augment research on KM success.<br />
Knowledge Management and<br />
Knowledge Management Systems<br />
Managing knowledge is a focal task <strong>for</strong> organizations<br />
today. Appreciating the importance <strong>of</strong><br />
knowledge as a core capability or resource (Alavi<br />
& Leidner, 2001; Grant, 1996) has underscored<br />
the need <strong>for</strong> managing it strategically. Though<br />
the ef<strong>for</strong>t to manage what a company ‘knows’<br />
is not a recent phenomenon, new technology<br />
and greater awareness fueled by a competitive<br />
business landscape has resulted in substantive<br />
attention paid to KM (Prusak, 2001).<br />
Knowledge can be conceptualized in different<br />
ways. It can be seen as embedded in practices<br />
(Orlikowski, 2002) or processes (Epple & Argote,<br />
1996), or as a separate entity or object (Schultze<br />
& Stabell, 2004). Another view <strong>of</strong> knowledge is<br />
that which is embedded in people’s heads and is<br />
a “fluid mix <strong>of</strong> framed experience, values, contextual<br />
in<strong>for</strong>mation and expert insight that provide<br />
a framework <strong>for</strong> evaluation and incorporating<br />
new experiences and in<strong>for</strong>mation” (Davenport<br />
& Prusak, 1997, p. 5). This type <strong>of</strong> knowledge<br />
is referred to as tacit. While explicit knowledge<br />
is easily codified, stored, and transferred, by the<br />
use <strong>of</strong> technology (such as knowledge repositories,<br />
document control systems, or databases)<br />
tacit knowledge is ‘stickier’ (Hippel, 1994). Tacit<br />
knowledge, as conceptualized by Polanyi (1958)<br />
refers to knowing-how or embodied knowledge 1 ,<br />
and is the characteristic <strong>of</strong> an ‘expert’ 2 who can<br />
per<strong>for</strong>m a task without deliberation <strong>of</strong> the principles<br />
or rules involved (Ryle, 1949/1984). This<br />
goes beyond a mere technical or physical knowhow<br />
(Dretske, 1991) as it is highly contextual.<br />
Employees <strong>of</strong> a certain culture may have tacit<br />
knowledge about practices that employees <strong>of</strong><br />
other cultures do not. Being able to deliberately<br />
leverage such tacit knowledge is hypothesized<br />
to generate value and be a key differentiator <strong>for</strong><br />
an organization ( Alavi & Leidner, 1999, 2001;<br />
Grant, 1996). It is tacit knowledge that resides<br />
in employees’ heads, which is vital <strong>for</strong> problem<br />
solving and organizational learning (Davenport<br />
& Prusak, 1997). Due to the uneven distribution<br />
<strong>of</strong> expertise, the task <strong>of</strong> managing tacit knowledge<br />
is especially essential in today’s dynamic<br />
and global business landscape. In the context <strong>of</strong><br />
large, geographically distributed, multi-cultural<br />
firms where employees do not have the opportunity<br />
to interact face-to-face, communication<br />
and transfer <strong>of</strong> knowledge becomes even more<br />
challenging (Lapre & Van Wassenhove, 2003).<br />
There<strong>for</strong>e, designing systems that facilitate tacit<br />
knowledge management is important. The focus<br />
<strong>of</strong> many design articles is on in<strong>for</strong>mation or<br />
content management, which deals with explicit<br />
knowledge. In this paper, we focus on managing<br />
tacit knowledge.<br />
We conceptualize knowledge management<br />
systems (KMS) as systems designed specifically<br />
with the intent to manage organizational<br />
knowledge, in line with Jennex and Olfman’s<br />
(2005b) infrastructure/generic approach to KM,<br />
by connecting people. In this approach, KMS<br />
are primarily designed to support communities<br />
<strong>of</strong> practice. We elaborate on this further in the<br />
subsequent sections.