Abstract
The paper applied a quantitative method to the impact of context-aware recommendations on decision quality and used partial least squares (PLS) to test the hypotheses of the study. The paper examines how context-aware recommendations affect the knowledge integration and decision-making, offering a valuable contribution to the existing body of knowledge and a framework for understanding knowledge management within a multi-dimensional setting when combined with context-aware technology. This paper provides designers of context-aware recommender systems with ideas to broaden the scope of services and refine learning applications.
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