The Impact of Recommendation System Overuse on the Subjective Wellbeing of Internet Users

Abstract

The stress in identifying useful information on the internet facilitated the use of recommendation systems by e-commerce and social network platforms to help users find their interested information quickly. However, this study seeks to investigate the impact of recommendation system overuse on the subjective wellbeing of internet users. The study reviewed previous studies in developing a research framework from the SOBC model that identifies social media overload as a (Situation) that triggers the intentions of internet users (Organism) to excessively use recommendation systems on the internet based on their level of self-concept clarity (Behavior) which (Consequently) affect their subjective wellbeing. SmartPLS 3.0 and SPSS v.22 software were deployed to analyze the research data and discover links between the constructs. The obtained results of the study confirm that, overuse of online recommendation systems negatively affect users’ subjective wellbeing.