The paper aimed to examine the influence of employees’ COVID-19 fear on their performance through intervening mechanisms such as mental wellbeing and organizational support. A total of 446 workers from the bank completed a self-report survey. Findings from regression analysis conducted with SPSS PROCESS MACRO (Model 7) revealed that employees’ COVID-19 fear did not have any direct negative influence on their performance but instead had an indirect effect on their performance via mental wellbeing (anxiety and depression). The findings also revealed that organizational support was instrumental in buffering the adverse impact of employees’ COVID-19 fear via mental wellbeing (anxiety and depression). Therefore, organizations should increase employee-supportive measures throughout this era of the COVID-19 to help reduce the adverse impact of employees’ COVID-19 fear.

Social Networking Sites (SNS) play an important role in human psychological well-being. This research explores the effects of perceived overload on the passive usage intention of SNS among Malaysian users through SNS fatigue and anxiety by employing a Cognition-Affect-Conation (C-A-C) model. Cross-sectional survey research was carried out and the research acquired responses from 383 SNS users. Data was analyzed through PLS-SEM. The outcomes noted that perceived cognitive overload, perceived information overload, SNS fatigue, and anxiety are positive antecedents of SNS passive usage intention. The research brings valuable insights into the formation of passive usage intention of SNS and provides implications for service providers and users.

The development of social media technology has an impact on the welfare of users but has side effects on communication and behavior when used excessively. Excessive use of social networking sites impacts user behavior in obtaining fast information and sharing information with other users to show their strengths as a personal profile. Data was collected on young adults who made purchases on credit with pay letters as many as 210 users of social media Twitter, Facebook, and YouTube. The analysis used in the study used Partial Least Square version 4. The research data was obtained by distributing questionnaires via Google Forms. The study results show that excessive SNS use influences money attitudes, including money anxiety, trust, and power. The money trust that users have has an impact on money power. Money attitude affects credit application PayLater overuse behavior. The results showed that money trust did not impact increasing credit application PayLater overuse behavior, while money power and money anxiety influenced credit application PayLater overuse behavior. Research makes a practical contribution for SNS users to continue using it reflectively, so it does not interfere with work activities, family relationships, and the responsible use of money. The theoretical contribution enriches the theory of money behavior, e-payment, and money attitude using social media.

The expression "social media" refers to a software-based platform developed for users’ benefit. People use it to gain social power, market their products, conduct online business, and share information and ideas. This digital ecosystem has become helpful in various ways, but research indicates that it does not come for free. Addiction, depression, and anxiety are some of the adverse conditions discussed in many studies. The purpose of this study is to mark if there is a relationship between using social media networks and the numbering of people with anxiety or depression. Also, by addressing the need to learn more about what makes people use social networks and how that use affects anxiety and depression in Arabic-speaking users in Jordan, we can help people from different cultures understand each other better. This research uses TAM, telepresence, and survey data from 1050 people, mainly from Jordan. The research looks at how the usage of social media is related to supposed usefulness, supposed ease of use, trust, social influence, age, gender, level of education, marital status, the time spent on the internet, preferred social media network, and perceived usefulness of SNS. AMOS 20 methods of confirmatory factor analysis (CFA), structural equation modeling (SEM), and machine learning (ML), such as SMO, ANN, random forest, and the bagging reduced error pruning tree (RepTree), were used to test the proposed model hypotheses. According to the results, the researchers found high correlations between social network usage and depression and anxiety. The use of social networking sites is also affected by how useful they are seen to be, how easy they are to use, trust, social influence, and telepresence. Also, the moderator's age, gender, level of education, marital status, amount of time spent on the internet, experience with the internet, and favorite social networks all affect how they plan to use social networks.

This paper presents an empirical investigation to study the effects of teaching contrastive skills of Islam originated from versus of holly book of Quran and cognitive-behavioral for coping on anxiety among some high school students in city of Tehran, Iran. The study uses a standard method developed by Cattell and Scheier (1963) [Cattell, R. B., & Scheier, I. H. (1963). Handbook for the IPAT Anxiety Scale Questionnaire: Self Analysis Form. Institute for Personality & Ability Testing.] to measure the anxiety. The results have indicated that both methods, contrastive skills and cognitive-behavioral, not only could reduce anxiety in short term but also it could reduce the anxiety over the long term period.

The purpose of this research is to investigate the impact of speech therapy with Cognitive Behavior Therapy (CBT) on reducing the severity of stuttering & anxiety for adults who stutter in the city of Isfahan, Iran. The study used a semi-experimental design with pre-test/post-test control groups and it was conducted among 24 clients. The sample was selected through available sampling method among the clients suffering from stuttering and attended public speech therapy clinics of Isfahan. The measurement instruments were Stuttering Severity Instrument (SSI4) and Beck & apos; s Anxiety Inventory (BAI). After doing the pretest, clients were placed into one experimental group of speech therapy with CBT and one control group. Speech therapy for this research included ten 45-minutes sessions accomplished for each individual subject and CBT included ten 90-minutes group sessions. After finishing the therapy sessions, the posttest was executed on both groups. For statistical analysis of data, Analysis of Covariance was carried out. The research findings indicated that speech therapy with CBT reduced the severity of Stuttering and Anxiety. Speech therapy with CBT is effective in reducing Stuttering & Anxiety.