No abstract

The article examines multidimensional approaches to measuring information systems (IS) success. The current state of related research is explored through a literature review and the classification of articles published between 2003 and 2007. The results show that the dominant stream of empirical research analyzes the impact that a specific type of information system has by means of users' evaluations obtained from surveys and structural equation modeling. Based on existing theoretical models and frameworks, several specialized success models have been developed to evaluate different types of IS, like knowledge management systems and enterprise systems. The results provide researchers with a comprehensive review and structuring of IS success research.

No abstract

Today large companies operate 100s of computer-based information systems (IS), also called applications, to support their businesses. Enterprise Architecture (EA) is regarded as a promising concept to cope with the complexity caused by large application portfolios (AP). This article focuses on senior IT managers' decision-making with regard to their AP, and EA's role therein. Through multiple case studies in large companies, we found that these managers consider and balance a set of aspects, each of which is supported by partial EA models maintained by specific groups within their IT departments. These models are, however, not sufficiently integrated. Based on the empirical findings, we propose indicators for each of the partial EA models to aggregate the AP-relevant characteristics per application, which are then integrated into an AP dashboard to support senior IT managers' holistic AP management. Consequently, a decision-oriented view is created of the overall EA, which the managers of the case studies companies deemed to be very helpful for steering their AP.