| dc.contributor.author | Mutongwa, Sanja Michael | |
| dc.contributor.author | Abeka, Silvance O. | |
| dc.date.accessioned | 2018-02-09T08:23:03Z | |
| dc.date.available | 2018-02-09T08:23:03Z | |
| dc.date.issued | 2017 | |
| dc.identifier.issn | 23942630 | |
| dc.identifier.uri | http://62.24.102.115:8080/xmlui/handle/123456789/1231 | |
| dc.description.abstract | The research aimed at assessing the factors affecting Integrated Financial Management Information system application in Kenyan public sector. There has been a very little improvement in financial management in Kenyan public sector. The factors affecting the application of IFMIS have not been clearly investigated. Objectives were: to examine the effect of Technical Operation Skills; Level of IT Infrastructure, Management skills and assessing the association of split model diagrams for constructs derived from factors affecting IFMIS. Data was adopted from a thesis research, Sample size of 300 respondents, which consisted of employees from public sector. Data was analyzed by Structure Equation Modeling. Findings indicated an overall low significance on LOIT, with strong association by MgtS & TOS. Results on three Split model Path diagrams indicated that Mgts & LOIT have slightly strong association power (45%) while TOS & Mgts have a weak association power 25%. Results for Correlation of TOS,MgtS & LOIT indicate that Mgts & LOIT registered a very strong Correlation 97.5% indicating high association power. Its clear that factors Mgts & LOIT combine together to influence the IFMIS use. While TOS & Mgts posted a Correlation 0.841(84.1%), which was weaker compared to that of Mgts & LOIT hence low association power. Contribution of this research is: the use of second generation techniques; Structure Equation Modeling, Utilization of Model Split Path diagrams. Recommendation is tailed towards further research on LOIT to establish its low significance, the need to employ Model Group Comparison and a method of Bootrapping for future analysis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Journal of Scientific and Engineering Research | en_US |
| dc.relation.ispartofseries | 2017, 4(9):444-452; | |
| dc.subject | Integrated Financial Management Information System (IFMIS) | en_US |
| dc.subject | Structure Equation Modeling (SEM) | en_US |
| dc.subject | Analysis of Moment structures (AMOS) | en_US |
| dc.title | Factors affecting integrated financial management information system application in Kenyan public sector | en_US |
| dc.type | Article | en_US |
