Consumer mashups: end-user perspectives and acceptance model

The emergence of web mashups has opened interesting possibilities for searching, combining, and reusing information in a simple, lightweight manner. However, actual research on user perceptions and consumer acceptance of mashup technology has received little attention. This paper presents a user acceptance model for consumer mashups, to precisely identify what factors lead to their adoption and to what extent. Our empirical results show that 'performance expectancy' of a mashup platform is the most important attribute in predicting and explaining user's intention to use a consumer mashup platform, this attribute being further explained by the factor 'organization of existing day-today activities'. The presented model can serve as a reference for mashup designers to design platforms having better user acceptance.