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In many organizations, social software is well established and no longer just a trend topic, which means that benefits are expected. As with any other type of information systems (IS), assessing social software success is an important and challenging task for both practitioners and researchers. This motivated us to present a conceptual model for measuring social software success. This model is based on Gable et al.'s IS Impact Measurement Model, a review of the related research, as well as data gained from three case studies. Our findings indicate that modifications have to be made to existing IS success measurement models regarding the peculiarities of social software. The results reveal that new measures are necessary. Furthermore, social factors concerning the organization and the individuals can specifically influence social software success positively.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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