An information management framework for development agencies
| dc.contributor.author | Musyoka, Betty Kavutha | |
| dc.date.accessioned | 2016-06-29T14:09:20Z | |
| dc.date.available | 2016-06-29T14:09:20Z | |
| dc.date.issued | 2012 | |
| dc.description | Submitted in partial fulfillment of the requirements for the Degree of Masters of Science in Computer Based Information Systems (MSIS) | en_US |
| dc.description.abstract | Modern organizations face the challenge of accessing information that is relevant for development and sustainability. A key impediment for most organizations is sifting through large amounts of data to extract required information. Studies show that modern organizations geared towards development find it difficult to access and learn from information provided through previous projects conducted for/by the institutions. This study investigates the efficacy of incorporating data mining techniques into information and knowledge management to improve the quality of information used by organizations. Effective Information and Knowledge management practices are important for business growth and diversity, since they provide platforms through which managers can make competent decisions based on stored information. The study introduces a suggested information management framework that incorporates automated storage, access, and analysis of data to improve information and knowledge within organizations. This will translate to overall development in organizations processes. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11071/4569 | |
| dc.language.iso | en | en_US |
| dc.publisher | Strathmore University | en_US |
| dc.subject | Information management | en_US |
| dc.subject | Development agencies | en_US |
| dc.title | An information management framework for development agencies | en_US |
| dc.type | Thesis | en_US |