Modelling the effects of systems quality, user trust and user satisfaction on purchase intention

Abstract

The remarkable and apparent growth in the use of mobile technology in society is eccentric. Mobile technology brought about a swift change on how business is conducted and how individual communicate and interact. The increasing number of mobile applications available in app stores could be a challenge for developers as they will be required to stay innovative in order to acquire and maintain a competitive edge. For the mobile application businesses to succeed, owners of these applications need to know and understand their customers and their requirements to be able to meet their demands. Due to the currency of this trend, there seems to be scarcity in terms of academic literature and information intelligence for businesses on the subject. The purpose of the study is therefore to investigate the influence of systems quality, user trust and user satisfaction on purchase intention of mobile applications users in South African. A quantitative survey was conducted using a sample of 500 internet user in Gauteng Province. The survey questionnaire was designed on Qualtrics. A project manager was appointed to roll out the project that lasted two weeks. After collecting 353 responses, the survey was closed. The results were statistically analysed using the IBM SPSS to draw descriptive statistics. The construct reliability and validity was assessed by conducting Confirmatory Factor Analysis (CFA) using AMOS version 22. The model fit was also assessed by conducting path modelling. The results of the study indicated some level of significance on all the relationships. However, the results showed a very weak significance level between user satisfaction and purchase intention. In the concluding chapter, a number of recommendations are provided where it was suggested that business should invest and channel their resources towards building trust and reliance with their customers. The limitations of the study were highlighted and the chapter concluded by making suggestions for future research. Key Words: System Quality, user trust, satisfaction, purchase intension, Technology Acceptance Model (TAM)