Auflistung nach Schlagwort "Satisfaction"
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- KonferenzbeitragAn efficiency evaluation model of EDI in a value added network: the influence of user confidence on risk(AIM 2006 – Information Systems and Collaboration: State of the Art and Perspectives (AIM), 2006) Baile, SergeThe evaluation of the performance of information technology and information systems has, over the past three decades, been the object of numerous studies using a wide range of models. Few of them have focused on the study of efficiency, and even fewer still on the development of a specific research model. This paper helps to fill this gap by making a contribution towards formalizing a specific, original theoretical framework and conceptual model, one based on user confidence in ad hoc EDI technology and the risks associated with its use. The model is tested using data obtained from users of a value added network in the car insurance sector. The results of the data analysis, obtained through a series of principal component analysis methods with a Promax rotation and an Amos structural equation analysis, confirm the existence, on the one hand, of an optimal structure of EDI efficiency evaluation factors, and on the other hand, of the relevance of a data model that establishes a hierarchy aimed at explaining risk.
- KonferenzbeitragItem Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation(i-com: Vol. 14, No. 1, 2015) Jannach, Dietmar; Lerche, Lukas; Jugovac, MichaelUser studies play an important role in academic research in the field of recommender systems as they allow us to assess quality factors other than the predictive accuracy of the underlying algorithms. User satisfaction is one such factor that is often evaluated in laboratory settings and in many experimental designs one task of the participants is to assess the suitability of the system-generated recommendations. The effort required by the user to make such an assessment can, however, depend on the user’s familiarity with the presented items and directly impact on the reported user satisfaction. In this paper, we report the results of a preliminary recommender systems user study using Mechanical Turk, which indicates that item familiarity is strongly correlated with overall satisfaction.