|
Makerere University Research Repository >
Faculty of Science >
Theses & Dissertations (Science) >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/312
|
| Title: | A knowledge management model for small industries |
| Authors: | Kabanda, Pauline |
| Keywords: | Knowledge management |
| Issue Date: | 5-Mar-2009 |
| Abstract: | Knowledge management is vital in modern day business practices and has become an important aspect in the daily livelihood of most industries within various communities. Most small industries’ goal is to realize the highest possible returns on investment, however, the knowledge needed to realize set goals is not available due to the fact that information plus data are not well kept or improperly used to generate knowledge which can be used to obtain their set goals.
This research focused on studying the existing systems within small industries if any, designing data flow diagrams to show the system flow within these small industries, developing a knowledge management model that would capture, index, store and analyse knowledge given off from industrial processes and in turn validate the developed model. This resulted into small industries realising high returns on investment and streamlined operations.
The knowledge experts and the knowledge engineer sieved knowledge from data and information from industrial processes, product range, materials, pricing, staff and department information, leverage and time. This was incorporated into the KMM for small industries. |
| URI: | http://hdl.handle.net/123456789/312 |
| Appears in Collections: | Theses & Dissertations (Science)
|
Files in This Item:
| File |
Description |
Size | Format |
| kabanda-computersc-masters.pdf | Knowledge management | 3155Kb | Adobe PDF | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|