Abstract:This research aims to investigate the predictors of mobile addiction. The data was analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM) approach supported by Smart-PLS 2.0 to assess the hypothesis in the research model. The PLS-SEM technique revealed that there was a strong correlation between social networking sites (SNS) intensity and mobile addiction. Users have positively expressed that visiting SNS is part of their everyday activity as they tend to check their SNS almost every day. … Show more
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