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Proceedings of the 12th European Conference on Knowledge ...

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Frank Habermann, Jörg Fehlinger and Karen Schmidt<br />

Already ten years ago an analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> corporate knowledge management projects has indicated severe<br />

practical problems <str<strong>on</strong>g>of</str<strong>on</strong>g> implementing <str<strong>on</strong>g>the</str<strong>on</strong>g>se <str<strong>on</strong>g>the</str<strong>on</strong>g>oretical c<strong>on</strong>cepts (Lai/Chu 2000, Storey/Barnett 2000).<br />

Today, most researchers as well as practiti<strong>on</strong>ers would agree that this highly centralized and mainly<br />

technology-driven approach was almost doomed to fail (see e.g. Riege 2005, Nevo/Chan 2007, Chua<br />

2007). But <str<strong>on</strong>g>the</str<strong>on</strong>g> issue is not a lack <str<strong>on</strong>g>of</str<strong>on</strong>g> appropriate technologies. Quite in c<strong>on</strong>trast, numerous studies<br />

have dem<strong>on</strong>strated that powerful s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware for storing, searching and sense-making <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge<br />

exist (see e.g. Jacobs<strong>on</strong>/ Prusak 2006). Thus, <str<strong>on</strong>g>the</str<strong>on</strong>g> major cause for knowledge management failure is<br />

not availability or applicability <str<strong>on</strong>g>of</str<strong>on</strong>g> technology, it ra<str<strong>on</strong>g>the</str<strong>on</strong>g>r is organizati<strong>on</strong>al misc<strong>on</strong>cepti<strong>on</strong>. The actual<br />

reas<strong>on</strong> is that each unificati<strong>on</strong> project runs against individual, organizati<strong>on</strong>al and cultural barriers and<br />

thus takes an enormous effort to implement and leads to relatively inflexible architectures (Handy<br />

1992).<br />

Having learned this less<strong>on</strong>, many people nowadays stress <str<strong>on</strong>g>the</str<strong>on</strong>g> advantages <str<strong>on</strong>g>of</str<strong>on</strong>g> social media and<br />

“Enterprise 2.0” (McAfee 2009). And indeed, with its decentralized c<strong>on</strong>cept, user-generated c<strong>on</strong>tent,<br />

and emergent structures, it seems to provide <str<strong>on</strong>g>the</str<strong>on</strong>g> right instruments to address employees’ needs. But<br />

does <str<strong>on</strong>g>the</str<strong>on</strong>g> new set <str<strong>on</strong>g>of</str<strong>on</strong>g> technologies automatically lead to better knowledge-sharing practice? Empirical<br />

studies state that this has not yet been, for most companies, <str<strong>on</strong>g>the</str<strong>on</strong>g> case (see e.g. Osimo et al. 2010,<br />

BITKOM 2008).<br />

The entire discussi<strong>on</strong> illustrates a major dilemma <str<strong>on</strong>g>of</str<strong>on</strong>g> knowledge management and organizati<strong>on</strong>al<br />

change. It can be brought back to <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> “c<strong>on</strong>trol” and <str<strong>on</strong>g>the</str<strong>on</strong>g> organizati<strong>on</strong>al role a pers<strong>on</strong><br />

possesses (Habermann 2011). If <strong>on</strong>e asks any<strong>on</strong>e whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r (s)he enjoys being c<strong>on</strong>trolled, <str<strong>on</strong>g>the</str<strong>on</strong>g> most<br />

probable answer <strong>on</strong>e will get is a clear “no!”. However, if <str<strong>on</strong>g>the</str<strong>on</strong>g> pers<strong>on</strong> were a manager, and <strong>on</strong>e asked<br />

whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r (s)he wanted to aband<strong>on</strong> c<strong>on</strong>trol, you might also receive a negative reply. Therefore, in <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

first case, in “<strong>Knowledge</strong> Management 1.0”, knowledge sharing is prevented because <str<strong>on</strong>g>the</str<strong>on</strong>g> majority <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> knowledge owners, <str<strong>on</strong>g>the</str<strong>on</strong>g> employees within an organizati<strong>on</strong>, fear loss <str<strong>on</strong>g>of</str<strong>on</strong>g> power and being c<strong>on</strong>trolled.<br />

In <str<strong>on</strong>g>the</str<strong>on</strong>g> sec<strong>on</strong>d case, in “Enterprise 2.0”, <str<strong>on</strong>g>the</str<strong>on</strong>g> employees appreciate <str<strong>on</strong>g>the</str<strong>on</strong>g> underlying c<strong>on</strong>cept but in many<br />

corporate cultures <str<strong>on</strong>g>the</str<strong>on</strong>g> authorities fear loss <str<strong>on</strong>g>of</str<strong>on</strong>g> transparency and managerial influence.<br />

C<strong>on</strong>sequently, this article c<strong>on</strong>cludes that corporate knowledge networks require a well-defined mixture<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> structure and emergence as well as a clear balance <str<strong>on</strong>g>of</str<strong>on</strong>g> interests! In <str<strong>on</strong>g>the</str<strong>on</strong>g> following, <str<strong>on</strong>g>the</str<strong>on</strong>g> corresp<strong>on</strong>ding<br />

challenges and management approaches are discussed.<br />

2. The key challenges<br />

In this chapter, we shall briefly analyze (a) complex living systems (organizati<strong>on</strong> view), (b) individual<br />

learning relati<strong>on</strong>ships (people view), and (c) <strong>on</strong>line social communities (technology view), as <str<strong>on</strong>g>the</str<strong>on</strong>g> three<br />

systemic pillars <str<strong>on</strong>g>of</str<strong>on</strong>g> corporate knowledge networks (see <str<strong>on</strong>g>the</str<strong>on</strong>g> following figure). The main objective <str<strong>on</strong>g>of</str<strong>on</strong>g> this<br />

approach is to clarify key assumpti<strong>on</strong>s, agree <strong>on</strong> core patterns and collect <str<strong>on</strong>g>the</str<strong>on</strong>g> resulting challenges<br />

from each systemic dimensi<strong>on</strong> as an accepted set <str<strong>on</strong>g>of</str<strong>on</strong>g> managerial requirements.<br />

Living<br />

Systems<br />

Online<br />

Social Communities<br />

Corporate<br />

<strong>Knowledge</strong><br />

Networks<br />

Figure 1: Systemic Pillars <str<strong>on</strong>g>of</str<strong>on</strong>g> Corporate <strong>Knowledge</strong> Networks<br />

2.1 Complex living systems<br />

Individual<br />

Relati<strong>on</strong>ships<br />

As <strong>on</strong>line knowledge networks involve a technical factor as well as a people factor, we c<strong>on</strong>sider <str<strong>on</strong>g>the</str<strong>on</strong>g>m<br />

as “socio-technical systems”. In academia, socio-technical systems design has gained a l<strong>on</strong>gstanding<br />

reputati<strong>on</strong> as an integrated approach to organizati<strong>on</strong>al development (Eijnatten 2001). In<br />

399

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