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The digital revolution influenced all levels and spheres of human social activities covering personal communications and relationships, health and mental health, and hours spent online. However, the widespread implementation and effects of digital technologies amongst all segments of society have not been understandable. The effects touch all aspects of life, be it personal, social, or economic, touching people's happiness positively or negatively. This research is the first attempt in Abu Dhabi to look at the impact of digital transformation and the associations of other aspects of people's life. The objective of this study is to propose a path model for better understanding the degree of association of related behaviors related to digital transformation and people's happiness. An extensive literature search identified several related wellbeing dimensions for this study. We used the Abu Dhabi Quality of Life data for this purpose. Results show that we should not ignore the significant positive association between the digital resources/means in society and our happiness or health. However, results also point to the perception of the negative impact of digital transformation on how we feel and behave daily. The hours we spend online also add to our negative daily feelings. The nature of our satisfaction with our family life seems to influence our negative mixed feelings about digital practices and habits. The strong association between our overall happiness and subjective health produced the most significant association. Limitations and policy implications are discussed. [ABSTRACT FROM AUTHOR]

This study uses structural equations modeling to test a hypothetical social network model with applications to a sample of 34,896 school children in Abu Dhabi. The main independent constructs in the model are related to children’s attitude with regard to social networking, reasons for using social networks, things done on social networks, and topics used. The dependent constructs cover perceived school performance and social effects of social networking. The study will describe the relations among the various constructs. The effect of other variables, such as parental knowhow, is also investigated. Our work has improved our insight in the social networking model. Results support the idea of reciprocal relations among perceived performance, learning from social networking, and the effect of social networking. Evidence for a model that includes opposite pathways implies that the problem of social networking constructs, its antecedents, and possible consequences should be examined with caution. [ABSTRACT FROM AUTHOR]