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Sexting is a challenging cyberpsychological phenomenon in today's digital world. This challenge especially resonates among women, as they face severe pressures from social, psychological, and technological fronts, thus pulling them away from getting involved in the phenomenon. The current research initiative adopted the Theory of Planned Behavior (TPB) and underlined the role of guilt and depression driven by the fear of social exclusion (as a social influence), gymnophobic attitude, and fear of being scammed (as a deficiency in IT self-efficacy) as exogenous factors to measure its position in mapping women's intentions to avoid sexting (in the hypothetical scenario). The study used convenience sampling to draw 472 (women) respondents from Pakistan with the mean age of 29 years old to measure the socio-psycho-techno-driven fears and their relationship with the mediating variables of depression and guilt. This information was used to map out the intentions to avoid sexting among women. The study found that social threat was the most significant construct, and depression was twice as influential as guilt in mapping women's intentions to avoid sexting. The study suggested that if women engaged in sexting, gymnophobic attitude and the social threat posed challenges for their psychological well-being. Moreover, the threat of being scammed as a factor needs to be more effectively communicated in society to map intentions to avoid its related challenges in sexting victimization., Author(s): Siraj Hussain [sup.1] , Rongting Zhou [sup.2] [sup.3] , Ahmad Nabeel Siddiquei [sup.4] , Muhammad Azfar Anwar [sup.5] [sup.6] , Fahad Asmi [sup.2] [sup.3] Author Affiliations: (1) grid.411501.0, 0000 [...]

This study focuses on adoption of simulation system in rapidly changing technology and information flow. Given the prevalent popularity of simulation system, it is important to understand and adopt simulation system to develop future educational plans. This paper addresses how simulation system enhances student collaborative learning and learner performance using Technology Acceptance Model. Results were analyzed using Structure Equation Modeling technique; this study established that perceived usefulness, perceived ease of use, and perceived enjoyment all have a significant positive relationship with simulation system. The results indicate that simulation system serves as a dynamic tool to accelerate the progress of learning environments by encouraging collaboration and communication among students which strengthen their learning abilities and increase performance because students practically perform all the theories in a risk-free environment. In the competitive world, simulation system should be implementing at education level so that students can learn more before entering into a real-life career.

The adverse impacts of climate change have occupied central theme of many policy initiatives. This paper investigated the impact of economic development, fossil fuel consumptions and population density on CO2 in India, Pakistan and Bangladesh using annual data over the period 1971–2014. We have applied panel Autoregressive distributed lags model to estimate the long‐run dynamics and Vector error correction model specified Granger causality test for finding the causality direction. Using three multivariate equations model, the empirical outcome of our study has established key associations that have crucial policy implications. Firstly, the results of auto‐regressive distributed lags (ARDL) confirmed the environmental Kuznets curve hypothesis that the relationship between CO2 and economic development is U‐shaped. Moreover, fossil fuel consumption and population density have a positive impact on CO2 emission in the long run. VECM test evidence suggests that short‐run causalities from economic development to CO2, population density to CO2 and fossil fuel consumption to CO2 exist. Secondly, CO2 has a negative impact on economic development while the impacts of fossil fuel, FDI and total exports on economic development have been significantly positive in the long run. In short run, CO2, fossil fuel consumption and FDI Granger cause economic development. Lastly, CO2 emission negatively influences population density while economic development positively affects population density in long run. Moreover, short‐run causalities from economic development to population density and CO2 to population density exit. For policy drives, efficient and low carbon emission technologies should be used. [ABSTRACT FROM AUTHOR]