Show simple item record

dc.contributor.authorSang, Joyce
dc.contributor.authorMoturi, Christopher
dc.date.accessioned2016-06-07T06:57:20Z
dc.date.available2016-06-07T06:57:20Z
dc.date.issued2016
dc.identifier.citationInternational Journal of Applied Information Systems (IJAIS), Volume 10 – No.5, February 2016en_US
dc.identifier.issn2249-0868
dc.identifier.urihttp://hdl.handle.net/11295/96048
dc.description.abstractE-procurement has recently been introduced in the Kenyan public sector due to the many practical advantages it brings. Usage of the system is still at a very nascent stage. This paper sought to predict e-procurement utilization by analyzing the constructs of the Extended Technology Acceptance Model. The study administered a questionnaire to 229 employees of the 11independent commissions in the country. Regression analysis was done to describe the significance and the strength of relationships between variables. The analysis yielded important findings that partially support research hypotheses. The results indicated that subjective norm and reliability of the system influence utilization of the system while compatibility was insignificant. All the identified elements have correlations with the model elements and in turn impact on the behavioral intention to use the system. This study would influence government technology plans through implementation of policies that enhance adoption of emerging technologies in the public sector.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectE-procurementen_US
dc.subjectExtended Technology Acceptance Modelen_US
dc.subjectKenya Independent Commissionsen_US
dc.subjectKenya Public Sectoren_US
dc.titlePredicting E-Procurement Utilization in Independent Commissions in Kenyaen_US
dc.typeArticleen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States