The Analysis of Social Media Addiction Level on Adolescents

The ease of long-distance interaction makes social media a necessity that must exist in every individual's life, which causes a person to have an uncomfortable feeling if they cannot access social media. Indirectly, accessing social media can result in some people who have social media addiction. Others desire to be noticed by others, difficulty communicating directly in their social environment, which makes them prefer to spend time interacting through social media. The phenomenon that happens is excessive and repeated use of social media every day, loss of self-control, which causes the long duration of use, unconsciousness of negative consequences to themselves and those around them, tolerance of social media. Emerges the withdrawal symptoms when trying not to access social media, such as feelings of discomfort in addicted adolescents. This study aimed to find out the description of the level of social media addiction among adolescents in Padang. The method used in this study was descriptive research with quantitative methods. The sample used in this study was 250 adolescents. From the data collection results, it was generally found that adolescents are in the low category with an achievement of a percentage, 51.2%. Then, adolescents are in the medium category with a percentage, 42.4%, and some adolescents are in the high category with an achievement, 1.6%.

Self-control and social media addiction (Facebook):a quantitative analysis

The purpose of this study is to determine the relationship between self-control and teenage social media addiction (Facebook). This study employs a quantitative approach and purposively samples 102 students in the XII level. The data collection scales used are self-control and social media addiction (Facebook). Data analysis utilizing product moment correlation approaches revealed a negative correlation between self-control and social media addiction of rxy = -0.42; p = 0.000 0.05, indicating that the more the self-control, the lower the social media addiction. And, once again, the lack of self-control correlates with a higher level of social media addiction. As a result, the hypothesis is accepted. According to the research findings, self-control contributes 17.58 percent to social media addiction, while the remaining 82.42 percent is influenced by other factors

A meta-analysis based modified unified theory of acceptance and use of technology (Meta-UTAUT): A review of emerging literature

YesOver the last more than four decades, several theoretical models have been developed to understand the acceptance and use of information systems. Realising the dilemma in selecting the appropriate theoretical model to assess the acceptance and use of technology and considering the pattern of using the Unified Theory of Acceptance and Use of Technology (UTAUT), a modified version (meta-UTAUT) has been developed based on the synthesis of results from 162 existing studies. The aim of this article is to review the emerging literature on meta-UTAUT and offer some future research recommendations. The analysis suggests that studies have started citing the relationships suggested by meta-UTAUT and researchers have reviewed it alongside other alternative models while analysing acceptance and use of technology

Social Media Networking Sites Usage and Depression Among University Students During the COVID-19 Pandemic : The Mediating Roles of Social Anxiety and Loneliness

The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and depression from 244 blended learning undergraduate students from universities in the Hunan province in China. Partial least squares structural equation modeling was conducted using SmartPLS 3.3.3 to measure the relationships between the stated variables of interest. Results indicated that SMNSU has a direct, significant, and positive relationship with depression. In terms of mediating effects, both loneliness and social anxiety have an intervening role in the association between SMNSU and depression. This study focused on the higher education sector of China by recruiting students who were enrolled in blended learning courses during the COVID-19 pandemic and experiencing psychological problems. We found that excessive SMNSU is associated with depression. Loneliness and social anxiety also increase depression along with excessive SMNSU among blended learning students during unprecedented situations, in this case, the COVID-19 pandemic. The valuable implications of these findings for teachers, counselors, and university managers are discussed, along with a consideration of future research directions.Peer reviewe

Problematic social networking site use: a brief review of recent research methods and the way forward

Social networking site (SNS) use is a routine activity for millions of people around the world. Under certain circumstances, an increase in SNS use may lead to problematic social networking site use (PSNSU). Numerous studies have reported associations between PSNSU and various psychosocial variables. The present review briefly examines research methods that have been employed to investigate PSNSU. Cross-sectional studies have been a popular method of investigating PSNSU, but they have significant limitations. Longitudinal and neuroimaging studies may provide important insights, but they are more difficult to conduct and have been less utilised. The field would benefit from a clarification of research priorities, integration of research methods, and studies that include SNS users from various age groups

Predictive Relations Between Quest For Significance And Social Media Addiction Of Adults

The aim of this study was to analyse quest for significance of adults according to their demographic features and to determine predictive relations between quest for significance and social media addiction of adults. The data of the study were collected from a total of 556 participants, 188 men and 368 women aged 18 and over. Participants were recruited by utilizing convenience sampling technique, and correlational survey method of quantitative research models was adopted within this study. Quest for Significance Scale, Social Media Addiction Scale and Personal Information Form were used as data collection tools. The data from assessment tools were analysed using the T-test, and multi-group comparisons were made using ANOVA (one-way analysis of variance). The relation between the points acquired from assessment tools was calculated using Pearson's Moments Multiplication Correlation Coefficient. Predictive relations between quest for significance and social media addiction was analysed using simple linear regression model. Significant difference was determined in quest for significance of adults as a result of the study considering age level, marital status, time spent on social media, the reason for using social media and whether using social media has any impact on sleeping pattern. On the other hand, no significant difference was determined in quest for significance of adults in terms of gender, income and educational background. A moderate positive correlation between quest for significance and social media addiction of adults was determined

Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN

In recent years, research on sustainable consumption has been particularly relevant, highlighting the importance of the collective over the individual to reduce pollution. This study focuses on the study of the perceived marketplace influence (PMI) concept in its organizational and consumer dimensions, together with the financial incentives that exist in the adoption of electric cars and their effect on green customer engagement. A sample of 382 potential buyers of electric vehicles was obtained. A new hybrid analytical approach was taken structural equation modelling and artificial neural network. The research found the most significant variables affecting purchase intention were financial incentives, followed by PMI Organization and finally PMI Consumer. The results of artificial neural network analysis confirmed all the findings of the structural equation modelling, although the importance of each PMI dimension is different for each technique used. The conclusions point to new business opportunities that can be exploited by companies selling this green technology.Funding for open access charge: Universidad de Granada / CBU

Personality and Instagram use motives with problematic Instagram use among adolescents: a cross-sectional study

Contemporary research studies indicate that individuals’ personality traits and motivations for using an online activity (e.g., social media) can be related to elevated problematic and addictive use of that activity. Although there are now many studies examining problematic Facebook use and problematic social media use more generally, problematic Instagram use (PIU) has been much less studied. The purpose of the present study was to examine the relationship between personality traits and Instagram use motives in relation to PIU. A total of 358 adolescent Instagram users completed a survey that included assessment tools for the aforementioned variables. Hierarchical regression analyses indicated that different personality traits were related to different Instagram use motives among males and females. More specifically, lower extraversion, meeting new people and socializing, passing time, and using Instagram less for information and education purposes were positively associated with higher PIU among female adolescents. Among male adolescents, only using Instagram for making, expressing, or presenting a more popular self (e.g., online self-presentation) was positively associated with higher PIU. Findings of the present study suggest that in order to better understand problematic Instagram use, personality, motivations, and gender differences should be taken into account simultaneously

Why Do Consumers Buy Impulsively in Livestreaming Commerce? A Deep Learning-Based Dual-Stage SEM-ANN Analysis

The power of livestreaming commerce to rake in billions of revenues within hours has thrust this nascent commercial model into the global spotlight; that said, despite the prevalence of impulsive buying in livestreaming commerce, the existing knowledge regarding the phenomenon remains relatively scarce. This research seeks to unravel the critical determinants that influence consumers’ impulsive buying in livestreaming. Grounded in the Stimulus-Organism-Response paradigm, a framework is proposed to elucidate the underlying mechanism on how parasocial interaction, social contagion, vicarious experience, scarcity persuasion, and price perception translate into impulsive buying urge and behaviour in livestreaming commerce via the cognitive-affective processing system. A self-administered online questionnaire survey was conducted with 295 respondents. The data collected was validated empirically through a multi-analytical hybrid structural equation modelling-artificial neural network (SEM-ANN) technique. The results reveal that parasocial interaction, vicarious experience, scarcity persuasion, and price perception can drive cognitive and affective reactions, which in turn, induce impulsive buying urge, subject to the boundary condition of impulsive buying tendency. In sum, the findings have drawn some insightful theoretical and practical implications that can facilitate the advancement of livestreaming commerce in the modern business arena