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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.

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Discussions at previous HICSS conferences have shown that there is no general agreement on definitions of Knowledge Management (KM) and Knowledge Management Systems (KMS) success. A deep understanding of these concepts would help to design and implement efficient KM initiatives and systems. We present an exploratory research study to begin and facilitate a debate that will hopefully lead to a consensus definition of KM and KMS success. We chose an expert panel approach followed by two exploratory surveys to approach the KM and KMS success definition. The research shows only a few points of consensus. We present areas of agreement as well as of disagreement, which serve as a good starting point for further discussions on KM and KMS success.

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Companies are increasingly adopting social software to support collaboration and networking. Although increasing their employees' connectedness is a major driver for organizations to deploy enterprise social software (ESS), the social connectedness concept itself is still not sufficiently defined and conceptualized. The study therefore provides a richer perspective on social connectedness's role in an ESS context. The authors thus investigate (1) social connectedness's antecedents and (2) its impact on employees' individual performance. With a survey-based investigation among 174 employees of an international business software provider headquartered in Germany, the authors show that both reputation and a critical mass significantly influence employees' social connectedness. The authors further find that reputation's effect is significantly stronger than critical mass's effect and that social connectedness influences employees' individual performance positively. The findings are discussed in the light of psychological studies and deduce implications for theory and practice.