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.

The emergent of online food delivery (OFD) industry is valued as a new channel in food industry in order to grab more sales and shares and has promoted the competitiveness among the OFD players. Therefore, a sufficient understanding of the nature of the online service industry is very important for service providers in this emerging market. This study attempts to discover the characteristics and necessities of this online service. Using adapted questionnaire from M-S-QUAL (Huang et al., 2015), this study aims to examine the relationships between customers perceived service quality of online food delivery (OFD) and its influence on customer satisfaction and loyalty, moderated by personal innovativeness. The study proposed six hypothesis and results indicated the positive relationships between service quality, customer satisfaction, and customer loyalty. Whilst customer satisfaction partially mediates service quality and customer loyalty, personal innovativeness has a negative moderating effect on customer satisfaction and customer loyalty.

Background and objectives: The impacts of COVID-19 are like two sides of one coin. During 2020, there were many research papers that proved our environmental and climate conditions were improving due to lockdown or large-scale restriction regulations. In contrast, the economic conditions deteriorated due to disruption in industry business activities and most people stayed at home and worked from home, which probably reduced the noise pollution. Methods: To assess whether there were differences in noise pollution before and during COVID-19. In this paper, we use various statistical methods following odds ratios, Wilcoxon and Fisher’s tests and Bayesian Markov chain Monte Carlo (MCMC) with various comparisons of prior selection. The outcome of interest for a parameter in Bayesian inference is complete posterior distribution. Roughly, the mean of the posterior will be clear with point approximation. That being said, the median is an available choice. Findings: To make the Bayesian MCMC work, we ran the sampling from the conditional posterior distributions. It is straightforward to draw random samples from these distributions if they have regular shapes using MCMC. The case of over-standard noise per time frame, number of noise petition cases, number of industry petition cases, number of motorcycles, number of cars and density of vehicles are significant at α = 5%. In line with this, we prove that there were differences of noise pollution before and during COVID-19 in Taiwan. Meanwhile, the decreased noise pollution in Taiwan can improve quality of life.

As the sharing economy has emerged, the way customer perceives the service is shifting toward a combination of offline and online. The need for the service provider to understand its nature as well as the pertinent aspects regarding its characteristics is crucial. Previous research validated the influence of perceived online and offline service quality toward customer satisfaction and loyalty. However, with the distinctive dimensions of OFA service quality, its effects on customer satisfaction and the role of social innovativeness in satisfaction and loyalty linkage remain unexplored. Hence, this study attempts to investigate these relationships using the data obtained from customers of any OFA in Malaysia. Purposive sampling was employed and 227 collected responses were analyzed using variance-based partial least square path modeling. The results confirm the direct effect of online and offline service quality on customer loyalty and full mediation role of customer satisfaction. Besides, social innovativeness is found negatively moderates customer satisfaction and loyalty relationship. Implications and contributions of the study are also discussed.

Social media influencer (SMI) has emerged as one of a powerful approach in building customer’s intention to visit a tourism destination. This research therefore tries to uncover the mechanism on how the dimensions of SMI, namely attractiveness, trustworthiness, and expertise, influence visit intention by incorporating enjoyment as mediator by applying Stimuli-Organism-Response (SOR) Theory. Using purposing sampling, 115 usable samples of those who experienced an SMI’s posts regarding Aceh tourism, are gathered online. Data were analyzed by using Partial Least Square-Structural Equation Modelling (PLS-SEM). In testing the hypotheses, we conduct a Bootstrapping procedure using 5000 sub-samplings. The finding highlights that SMIs’ attractiveness and SMIs’ expertise, are found to be a strong predictor of enjoyment, of which has a significant relationship with visit intention. However, SMI trustworthiness failed to predict enjoyment. Except for SMI trustworthiness-visit intention relationship, this study also found the role of enjoyment as mediator for both SMI attractiveness and SMI expertise in predicting visit intention. Consequently, this research pinpoints two routes to obtaining visitors’ intention to visit a tourism site. They are attractiveness-enjoyment-intention and expertise-enjoyment-intention with the second pathway have bigger contribution to visit intention. The findings can be used as a guide to assist tourism destination marketers in developing effective advertising that use SMI to communicate with their visitor and differentiate themselves from the tourism destination intense competition. Keywords: social media influencers, enjoyment, visit intention, sor theory, tourism destination

Work-Family Conflict and Job Satisfaction: The Mediating Role of Person-Organization Fit Study on Employees of The BRI Aceh Region