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Many believe that any social media harms kids because of frequent use. This study aims to examine these assumptions. It proposes and tests a model that considers two alternative pathways – one negative and one positive – through which social media affects teens’ self-reported subjective well-being.

This research used Preacher and Hayes process modeling to conduct path analysis on data collected on 585 teenagers from across the USA.

Results showed that along a negative pathway, frequent social media use leads to greater risky social media engagement that ultimately diminishes adolescent’s sense of well-being. Also, and perhaps simultaneously, frequent social media use leads to socially-connected social media use that enhances adolescent’s sense of well-being.

The research recommends ways parents, policymakers and platforms can encourage teens to use social media to connect with friends while guiding them away from pathways exposing them to risky behaviors.

Findings show more social media use is not necessarily harmful, but more of some types is bad, while more of others is good.

In the information and technology age, where the “physical” world is merged with the “digital” world, the nature of social conditions, relations, citizenship and the flow of information has shifted from a moral and legal approach to a digital approach. Nowadays, the functioning, dissemination, conduct and governance of organisations and their members are regulated by techno-ethical and digital principles. Drawing on social cognitive theory, the study hypothesises that techno-ethical orientation predicts corporate ethical values (CEV) through the moderation of digital citizenship behaviour (DC). The study further proposes that each dimension of DC: online respect (OR) and online civic engagement (OCE), moderates the hypothesised relationship.

546 respondents from India participated in the study. The responses were captured using structured and well-established questionnaires. The analysis was performed using robust measures of correlation, regression, reliability (Cronbach’s alpha and composite reliability) and validity (convergent and discriminant validity). The moderation influence of DC was tested and analysed using structural equation modelling (SEM) Analysis of Moment Structures (AMOS).

The regression findings of the study revealed that the techno-ethical orientation positively predicts the CEV. R-square values showed a 24.1% variation in corporate ethical value was explained by techno-ethical orientation. It indicates that a positive techno-ethical orientation establishes the ethical context and corporate values. Besides, the moderation analysis using SEM AMOS indicates that at both low and high levels of OR and OCE, the relationship between techno-ethical orientation and CEV is positive and significant.

This study demonstrates a new facet of technology ethics that promotes the institutionalisation of CEV through DC. This study is the first to explore the interaction between techno-ethical orientation and CEV. Even though various former factors concerning ethical conduct have been examined, the results of the techno-ethical conduct of employees within the scope of an organisation have not been explored so far.