Influencing Factors and Correlation Paths of Quantified Self Behaviour: A Comprehensive Analysis Integrating ISM-MICMAC and Fogg Behaviour Model

This study aims to quantify the influencing factors of quantified self, clarify their associated paths and hierarchical relationships, enrich relevant theories and practices, and provide targeted suggestions for individual health management. Through literature review, 15 influencing factors were identified. Based on Fogg behaviour model (FBM) and fuzzy Delphi method (FDM), an ISM-MICMAC model was constructed to analyse their correlation paths. The results indicate that empowerment support, personality support, and compatibility prompts exert the most profound influences on the quantified self at the root level. Two main correlation paths were identified. Path 1: The ability support dimension activates the prompt trigger dimension, which subsequently stimulates the motivation dimension, ultimately facilitating quantified self behaviour. Path 2: The prompt trigger dimension activates the ability support dimension and enhances the motivational drive dimension, thereby contributing to the formation of quantified self behaviour. Based on these findings, an optimisation strategy is proposed for the governments, enterprises, and communities in designing and implementing quantified self behaviours.