An Integration between Information Systems Engineering and Software Engineering Theories towards Engineering a Novel Instrument and Framework of Web-Based Systems Success: Hypothesis Testing

Abstract

Systems and its success evaluation are an important prospect whereby, several studies can be traced, outlining its importance and vitality. However, there is a need to identify responsive specific factors to help better understand the systems determinants and its success evaluation. In the academia, systems are used to facilitate students, human resource, e-commerce activities any much more. Hence, examining the systems and evaluating as to what length it is successful is essential. This study aims to provide the results of the hypothesis testing. There have been 7 accepted hypothesis and 3 rejected hypotheses. Hypothesis results showed that ISO 25010 works better than TAM and DM Models in systems success measurement.