Factors affecting the adoption of social network sites: examining four adopter categories of Singapore's working adults

Abstract

Adapted from Chang et al.’s (2006) models, this study examines factors that influence adoption and non-adoption of social network sites (SNS) in adopters (Continuers, Discontinuers) and non-adopters (Potentials, Resistors). Chi-square and t-test were used to analyze the survey data of Singapore’s working adults and Internet users (N ^222). The findings reveal innovation characteristics (relative advantage, compatibility, complexity) and perceived popularity differ signifi-cantly in three pairs of adopter categories. Results show Continuers and Potentials are concerned more about image than Discontinuers and Resistors, while technology cluster differs between adopter vs. non-adopter and Continuers vs. Discontinuers. Moreover, the study suggests younger people tend to adopt SNSs, females continue to use SNSs more, and potential SNS users are more innovative. Lastly, a regression model to forecast the adoption of SNSs is proposed in which age, compatibility, technology cluster, and perceived popular-ity are predictors.