IMPACT OF INTEGRATED MANDATORY E – GOVERNMENT ON PUBLIC SERVICE KENYA; A CASE OF SIAYA COUNTY GOVERNMENT
IMPACT OF INTEGRATED MANDATORY E – GOVERNMENT ON PUBLIC SERVICE KENYA; A CASE OF SIAYA COUNTY GOVERNMENT
Gloria Amondi Miganda - Student, Master of public Policy and Administration, Kenyatta University, Kenya
John Kandiri - Lecturer, Department of Public Policy & Administration, Kenyatta University, Kenya
ABSTRACT
The purpose of this paper is to analyze and report the Impact of Integrated Mandatory E – Government on Public Service Kenya; Case of Siaya County Government. This study mirrors on three software systems (GHRIS, IFMIS, AND IPPD), and it assessed the extent to which the three (3) software systems were implemented and utilized to increase efficiency in the public service. This study was anchored on UTAUT theory which is highly acceptable for explaining acceptability of technology due to its comprehensiveness since it incorporates eight theories, including the Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA), Innovation Diffusion Theory (IDT), Theory of Planned Behaviour (TPB), Motivational Model (MM), Model of PC Utilization (MPCU), Social Contingency Theory (SCT) and Combined TAMTPB (C-TAM-TPB). Venkatesh (2003) piloted a theory of study on the eight Information Technology (IT) simulations to test their value; hence developed the Unified Theory of Acceptance and Use of Technology.The model consists of four factors influencing the adoption of e-governance and ICT technologies: performance expectancy, effort expectancy, social influence, and facilitating factors. UTAUT theory consists of further superseding features (age, sex, skill, and voluntaries of usage), which also determine the acceptance and implementation of e-government. The performance expectancy describes perceived efficiency, effectiveness, and quality of electronic-based governance executed by government agencies. Based on this factor, the continued use of the three software systems (GHRIS, IFMIS, and IPPD) depends on the continued utility that the public and the government derive from implementing e-government. When the stakeholders (government and public) no longer experience the system's value in service delivery efficiency, quality, and effectiveness, they automatically abandon them and adopt alternatives. The study also adopted a descriptive survey design to collect data and analyze findings. A descriptive research study was convenient because it enabled collection of both qualitative and quantitative data in an unchanged research setting. A mixed questionnaire was applied to gather information amongst randomly selected respondents. The study also had one independent variable (adoption of e-governance) and four dependent variables (performance expectancy, effort expectancy, social influence, and facilitating conditions). The control variables in this study include age, work experience, and literacy. There existed no significant disparity on sex of respondents, with masculine and feminine being equally represented in the sample. However, on age, the majority (68 percent) of the respondents interviewed stood at ages between 25 to 45. The study further established that nearly 70 percent of the respondent had a minimum of a university degree, indicative of a highly trained work force. Three departments were represented in the study, with nearly 46 percent being from the IFMIS department, and the rest from GHRIS and IPPD. The verdict of this research clearly indicates that the four (4) dependent Variables in this paper had substantial optimistic influence going on with acceptance of e-government amenities within the Countries’ devolved units of Administration. The study indicated and showed the fact that persons and firms (especially businesses) should be motivated to embrace e-government to advance performance in delivery of facilities, easiness of utilization of the local authorities structures plus amenities, whereas in the same moment, trust that the age mates and age sets plus coworkers expect all to utilize e-government. In equal measure, facilitating conditions like faster online infrastructure, software platforms and computer systems, training, re-training and development for capability enhancement must be put within position, in addition to improvement recurrently because facilitating conditions had robust affirmative influence with implementation of e-government facilities.
