search query: @indexterm ORGANIZATIONAL LEARNING / total: 536
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| Author: | Nissen, M.E. Levitt, R.E. |
| Title: | Agent-based modeling of knowledge dynamics |
| Journal: | Knowledge management research & practice
2004 : DEC, VOL 2:3, p. 169-183 |
| Index terms: | Knowledge management Organizational learning Theories Models |
| Language: | eng |
| Abstract: | Knowledge (hereafter as: kn.) is distributed unevenly through most enterprises. Hence, flows of kn. (e.g. across time, people, locations, organizations) are critical to organizational efficacy and performance under a knowledge-based view of the firm. This expository article builds on research in computational (here as: comp.) organization theory to develop agent-based models of kn. dynamics. The work draws from emerging theory for multidimensional representation of the knowledge-flow (here as: kn-f./kn-fs.) phenomenon, which enables the dynamics of enterprise kn-fs. to be formalized and emulated through comp. models. This approach provides the means for kn-f. processes to be visualized and analyzed in new ways. |
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