Application Of Extented Technology Acceptance Model In Predicting E-Procurement Utilization In Independent Commissions In Kenya
E-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, and therefore this study has examined its adoption in the independent commissions in Kenya. The general objective of this study was to use extended technology acceptance model in predicting e-procurement adoption in the independent commissions in Kenya. The specific objectives are; to investigate the constructs of the model that influence individual intentions to use e-procurement in the independent commissions, to examine the role of selected external variables of the model in predicting e-procurement adoption in independent commissions’ in Kenya and to propose an ETAM based integrated theoretical framework to support prediction and understanding the intention to use e-procurement system in independent commissions in Kenya. Descriptive research design was used. The study administered a questionnaire to the 229 independent commissions’ employees who are 532 in number. Stratified random sampling technique was used to generate three strata; that of supervisors and the officers in procurement department and end users of the system to form the respondents in the study. Data has been analyzed using SPSS to generate descriptive and inferential statistics. Measures of central tendency including mean, standard deviation and percentages have been used to describe the study results. Regression analysis has been done to generate the coefficients and Pearson correlation results to describe the significance and the strength of relationships between variables. Analyzing data from the respondents 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 extended Technology Acceptance Model elements and in turn impact on the behavioral intention to use the system. Therefore we can conclude that there is a strong intention to adopt and use the system.
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