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The paper examines the multi-dimensional nature of Internet Addiction (IA) and its influence on Well-Being (WB) amongst a representative sample of 320 young urban Indian internet users. Nine hypotheses are proposed through a conceptual model to assess the multi-dimensional nature of IA and its relationship with WB. Partial Least Squares – Structure Equation Modelling (PLS-SEM) was conducted to assess the hypothesised relationships. Of the proposed nine hypotheses, seven were accepted. The result indicated IA as a four-dimensional construct – Internet Control Disorder (ICD), Internet Craving (IC), Internet Obsession (IO), and Addictive Behaviour (AB). The findings supported that ICD positively and significantly influences IC. IC and AB both have a significant impact on IO. ICD and IC have a significant impact on the individual's AB. ICD and IO significantly influence WB. With respect to the dimensions IC, AB, and IO, the model is successful in explaining around 26%, 45%, and 33% of the variation. IA as a multi-dimensional phenomenon and its relationship with WB in a young-demographic nation like India has immense academic and societal value. The study provides critical actionable insights for users, educators, health counsellors, parents, and policymakers regarding interventions for controlling internet addiction. [ABSTRACT FROM AUTHOR]

While video games can be helpful in personal development, participating in certain gaming activities may lead to negative effects such as video game addiction. The overuse of computer games, which can lead to reduced quality of life and affect a person's practical skills. Around 3% of adolescents suffer from Internet Gaming Disorder (IGD), there is currently no universally accepted psychometric method. The AICA-S scale was applied to results from 3,901 respondents aged between 11 and 19. During the 2017/2018 school year, a battery of questionnaires in "pen and paper" form was administered to students at primary schools and secondary schools. The respondents were selected from all the regions of the Czech Republic through a random stratified selection to ensure that the respondents were an accurate representation of students across the Czech Republic. The results were obtained using statistical methods such as ANOVA, chi-square tests and t-tests. These results affirm the psychometric quality of AICA-S and note the prevalence of IGD among Czech adolescents. Based on our results, 0.8% of our respondents fulfilled the criteria for an IGD. [ABSTRACT FROM AUTHOR]