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thesis_Daniela Noethen_print final - Jacobs University

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Knowledge, Knowledge Management, and Knowledge Transfer<br />

1.1.2. Knowledge in organizations<br />

Unfortunately, just like the more philosophical concept of knowledge, knowledge in the context<br />

of organizations lacks a general, agreed-upon definition. Nevertheless, there exists a striking<br />

similarity that the various definitions share and that we can build on: The fact that knowledge is<br />

usually demarcated from information. This constant demarcation is owed to the circumstance<br />

that one of the disciplines that have been very active in knowledge management research is<br />

information technology (IT).<br />

IT approaches usually distinguish three entities: data, information, and knowledge, and these<br />

they order hierarchically (Alavi & Leidner, 2001; Davenport & Prusak, 1998). Data is typically<br />

described as raw, discrete, and objective numbers and facts (Alavi & Leidner, 2001; Davenport<br />

& Prusak, 1998). As such, data provides neither judgment nor interpretation, it rather builds the<br />

raw material for the creation of information (Davenport & Prusak, 1998). Information is<br />

processed data, i.e., data to which meaning or purpose has been added by contextualization,<br />

categorization, calculation, correction, or condensation (Alavi & Leidner, 2001; Davenport &<br />

Prusak, 1998). Knowledge is information that is connected, compared, and authenticated with<br />

reference to a whole network of other pieces of information (Alavi & Leidner, 2001; Davenport<br />

& Prusak, 1998). 1<br />

The distinction between information and knowledge is a tricky one and less obvious than the<br />

distinction between information and data. Many organizations already have IT systems for<br />

information management in place, such that the necessity arises to explain why knowledge is so<br />

much different and has to be managed on its own. The clue to the distinction is that knowledge is<br />

tied to the individual. Alavi and Leidner (2001) for example describe knowledge as “information<br />

possessed in the mind of individuals: it is personalized information” (p. 109); while Nonaka and<br />

1 This distinction between data, information, and knowledge was also used to answer questions about<br />

what was considered knowledge in study one as well as in the introductory information sessions for<br />

participants in study two.<br />

18

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