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Background: In this paper, we examine how social media influencers can influence visit intention, especially in the case of Raffi Ahmad and Nagita Slavina, a top influencer who by 2 September 2021 had reached 21.3 M subscribers on YouTube and 54.9 m followers on Instagram with an engagement rate of 0.42%. The focus of this study is Generation Y or Millennials (born 1981–1996) and Generation Z (born 1997–2012). Design/methodology/approach: Snowball sampling was performed to arrive at a representative group of Millennials. Data analysis was performed using hierarchical likelihood via structural equation modeling. Findings: The study results are helpful for a comprehensive understanding of factors affecting visit intention. Effects of the study results summary, tourists from Generations Y and Z are thriving within the internet of things and the digital age, an era in which information can be accessed via various forms of technology across multiple platforms. Practical implications: We discuss and identify the relative importance of each factor through the use of logistics with variational approximation and structural equation models using hierarchical likelihood. Originality: The technique we use is an integrated and extended version of the structural equation model with hierarchical likelihood estimation and features selection using logistics variational approximation.

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The inability to cope successfully with the enormous stress of medical education may lead to a cascade of consequences at both a personal and professional level. Although common, depression associates with a high degree of disability and chronicity, with symptoms such as low mood, lack of energy, poor concentration, low self-esteem, and a lack of interest in the environment however stress has been shown to have deleterious effects on one's physical and mental well-being .The extreme stress levels inherent in the medical profession, put premedical and medical students at risk for both physical and psychological problems. The aim of this study is to determine the workload stress which leads to different health problems in medical and dental students during their undergraduate training. It was a self-administered questionnaire based survey conducted on 114 medical and dental students (32 males and 118 females) who were randomly selected in Fatima Jinnah Dental College and

The urgent needs for Airlines around the world, especially low-cost carrier to optimize earnings and reduce their operational costs accentuate the use of self-service technologies (SSTs) in their operating system, including their check-in process. The self-check-in system (online, mobile and at kiosk) is mainly offered to reduce costs, speed and enhance the customer’s experience. Using adapted questionnaire from self-service technology quality (SSTQUAL) scale, this research aims to examine the service quality of airline self-check-in system and its impact on customer satisfaction and loyalty in an emerging market for a low-cost carrier, namely Airasia. Data for the study are collected from 123 passengers who have used the Airasia’s self-check-in service and are analyzed using Pearson’s correlation and Smart partial least square (SmartPLS). The result indicates that self-check-in service quality exhibits significant impact on customer satisfaction and customer loyalty. It also found that customer satisfaction fully mediates the relationship between perceived service quality and customer loyalty.