Information Systems Success - A Quantitative Literature Review and Comparison

Despite the outstanding economic relevance of information systems in business and society, there exists no consensus among academics and practitioners how to measure the success of information systems. Therefore this paper makes a contribution to structure and classify the most recent research in IS success. This is done by providing an exhaustive overview of literature in the field of IS success capturing the empirical and non-empirical publications between 2007 and 2011. With regard to theoretical foundation, object of analysis, unit of analysis, evaluation perspective, data gathering method, and data analysis, 26 empirical articles are classified. The 11 non-empirical studies are classified by theoretical foundation, methodological type and object of analysis. The results show that in most cases a type of IT or IT application is investigated by applying the DeLone and McLean IS success model. Most of the studies focus on IS users and the individual perspective of analysis, whereas the most prominent data analysis method is structural equation modeling.