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Belief-driven sensemaking : arguing as knowledge creation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Smit, Marietjie |
| Copyright Year | 2012 |
| Abstract | to be easily testable. The I-Space is based on an “intuitively plausible premise: structured knowledge flows more readily and extensively than unstructured knowledge,” and that “Human knowledge is built up through the twin processes of discrimination and association.” Boisot’s I-Space model context is not necessarily organizational, but rather actively informational and social. The I-Space is summarized as follows: The relationship between the codification, abstraction and diffusion of knowledge is illustrated by the diffusion curve of Figure 5. The more codified and abstract a given message, the larger the population that it can be diffused to in a given time period. Codification, abstraction, and diffusion, make up only one part of a social learning process. Knowledge that is diffused within a target population must also get absorbed by that population and then get applied in specific situations. When applied, such knowledge may not fit in well with existing schema and may trigger a search for adjustments and adaptations a process of assimilation and accommodation and we shall refer to as scanning. This social learning process forms a cycle in the I-Space indicated by the directional curve. In the I-Space, the value of knowledge, its utility, is achieved by moving up the space towards the apex of codification and abstraction. Scarcity is achieved by keeping the knowledge assets created located towards the left hand side of the diffusion curve. The biggest asset of the I-Space is that it has been successfully tested and validated in operational settings. 92 Canals, A. Boisot, M.H. MacMillan, I. 2004. Simulating I-Space (SimISpace): An Agent-based Approach to Modeling Knowledge Flows, 2. 93 Boisot, M.H. Canals, A. 2003. Modeling knowledge‐based economic processes, 3. 94 Boisot, M.H. Canals, A. 2003. Modeling knowledge‐based economic processes, 4-5. 95 Boisot, M.H. Canals, A. 2003. Modeling knowledge‐based economic processes, 5. 96 Canals, A. Boisot, MacMillan, I. 2004. Simulating I-Space (SimISpace): An Agent-based Approach to Modeling Knowledge Flows, 31. Stellenbosch University http://scholar.sun.ac.za |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://scholar.sun.ac.za/bitstream/handle/10019.1/20164/smit_belief_2012.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
