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Web-based Learning Solutions for Communities of Practice

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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.

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