Thesis Title: A Model for Analyzing Usage Factors in Designing User Acceptance of Biometric Voter Registration Technology

Student’s Name: Richard Kayanga Nyakundi

Supervisors:

1. Prof. Samuel Mbugua (PhD)
2. Dr. Ratemo Makiya (PhD)

ABSTRACT

Voting systems worldwide are transitioning from manual voting practices to electronic systems for better service delivery. However, the technology’s credibility has challenged many countries worldwide, even with electronic systems. Models leading to acceptance of the technology remain largely unrealized in economically transitioning countries due to low acceptance of appropriate and acceptable electoral technology models. Bodies that deal with election matters tend to focus on the technical supply of election resources and give less emphasis on acceptance of the BVR technology. The purpose of the study was to analyze BVR technology usage and develop a model for user acceptance of BVR technology. The study sought to: determine usage factor requirements for acceptable BVR technology, assess the extent to which perceived usefulness and perceived ease of system use influence acceptance of the BVR technology, and develop a model for analyzing usage factors in designing user acceptance of BVR technology. Descriptive and explanatory research designs were employed to understand the characteristics of the variables under study. Questionnaires were used as research instruments to collect data. Data was then arranged and coded for analysis. Descriptive statistics, factor analysis, and path analysis were used to analyze data. The presentation was done using tables, charts, and bar graphs. Findings showed that; Preparation, Reliance, Edification, Exactitude, Cognizance, User-friendliness, Government policy, Indigenous Language and Payback were significant in a Model for Analyzing Usage Factors in Designing User Acceptance of Biometric Voter Registration Technology. It was concluded that the usage factors significantly contributed to the ease of acceptance and use of BVR technology in Kenya. Further, the moderating factors of perceived usefulness and perceived ease of use were found to be having significant roles in BVR technology acceptance. The study recommended a BVR Technology Acceptance model, which was confirmed for use in enhancing the penetration of technology to the masses.