The adaptation of the information system success model in recommender systems: the validation of dual-coding theory

Abstract

Introduction. Recommender systems are extensively deployed to provide online users with advisory services, and the design of recommender systems' functional features has received substantial research attention. The social aspects of such system interactions, however, have been less explored. Furthermore, measuring user satisfaction, though natural in a business environment, is often challenging for recommender systems research. Method. This study provides the first empirical test of an adaptation of the information system success model in the context of recommender systems. Additionally, the dual-coding theory argument was introduced to examine the model. Analysis. Based on the proposed model, two presentation types are compared. An experimental design is used and a questionnaire is developed for analysis. Results. The experiment's results have shown that the recommender system designed on the basis of the dual-coding theory is better than the traditional recommender system in all aspects. Conclusions. Perceived usefulness and the user satisfaction have a significant positive relationship both with continued intention to use and continued intention to provide.