Comparison of computing methods in projects risk management: case study in risks of using selected project management tools in Tanzania
| dc.contributor.author | Mbano, Frank Pashal | |
| dc.date.accessioned | 2019-11-15T13:16:29Z | |
| dc.date.accessioned | 2020-01-07T14:42:19Z | |
| dc.date.available | 2019-11-15T13:16:29Z | |
| dc.date.available | 2020-01-07T14:42:19Z | |
| dc.date.issued | 2006 | |
| dc.description | Available in print form, East Africana Collection, Dr. Wilbert Chagula Library, Class mark (THS EAF QA76.76.E93M22) | en_US |
| dc.description.abstract | Microsoft Excel (M/S Excel) and Microsoft Project (m/S Project) have been more often relied upon by Project Managers in managing various projects. However, these tools are more vulnerable to human errors due to their extensive manual operations. It is the objective of this research to compare selected project management (PM) computing tools with a new computing tool that combines that application of M/S Project to manage project time or cost and application of M/S Excel to simplify project appraisal and minimize project risk related to manual operations. Methodology involved was to use questionnaires, critical performance factors and the results of data analysis t recommend the best tool for low risk operations. The new tool is named Flash Decision Making Computing Model and is a C++ program developed and tested by using Borland C++ as a platform. Its performance was rated by twenty raters namely, project managers, project schedulers and system administrators. M/S Excel were selected to compare their performance with that of new computing tool. According to the results of data analysis, it was ascertained that the new computing tools performs low risk operations to aid decision making by automating most of the manual operations. In conclusion, the results of data analysis show that, the new computing tool can minimize manual operations and respective risks. Further more the process of using it to combine application of M/S Project appraisal is feasible. It is therefore recommended as the most suitable PM tool for low risk operations. | en_US |
| dc.identifier.citation | Mbano, F.P (2006) Comparison of computing methods in projects risk management: case study in risks of using selected project management tools in Tanzania.Master dissertation, University of Dar es Salaam, Dar es Salaam. | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/632 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Dar es Salaam | en_US |
| dc.subject | Computer software | en_US |
| dc.subject | Computing methods | en_US |
| dc.subject | Software evaluation | en_US |
| dc.title | Comparison of computing methods in projects risk management: case study in risks of using selected project management tools in Tanzania | en_US |
| dc.type | Thesis | en_US |