ABSTRACT
Introduction: Using the Theory of Planned Behavior, this study addresses the factors that influence parental intentions to vaccinate their 12- to 17-year-old children against COVID-19. The study looked at how attitudes, subjective norms, perceived behavioral control, and fear of the COVID-19 vaccine impact these intentions. Methods: Between November and December 2021, 396 Jordanian parents completed an anonymous online survey. A multivariate logistic regression analysis was used for analyzing the relationships. Results: While 94.7% of children had received routine vaccinations, only 23.5% intended to vaccinate their children against COVID-19, indicating a vaccine acceptance gap. The analysis revealed that attitudes are the most significant positive predictor of vaccination intent, accounting for 75% of the variance. Subjective norms had a positive influence on parents' decisions, whereas fear of the COVID-19 vaccine was a significant barrier. Perceived behavioral control had a small but negative effect, indicating significant challenges to vaccination. Conclusion: The Theory of Planned Behavior (TPB) clarifies numerous factors that influence parents' decisions to immunize their children against COVID-19. Understanding these factors is critical for narrowing the gap between high rates of routine vaccinations and low rates of COVID-19 vaccinations, as well as developing effective strategies to increase vaccine acceptance among parents.
ABSTRACT
Recently many banks around the world are adopting chatbots to communicate with their customers. However, the success of banking chatbots relay on customer adoption of this new technology. Although chatbots use in the banking sector is expanding globally, the Arabic world is still behind in using the technology, and chatbot applications in the Arab world are still immature. One reason behind this lag is the complexity of the Arabic language. This study comes to bridge the gap in the literature regarding what technology aspects affect customer adoption of bank chatbots in the Arabic world, and which type of Arabic language is the most effective in communicating with Arabic language speakers. UTAUT2 was used to figure what factors afect customer adoption. The data for this study was collected from two separate groups, with a total of 429 participants. Results showed that there is a significant difference between the model testing Arabic Fusha and Dialect Fusha. Results showed that Effort expectancy influences adoption only when dialect Arabic is used. Performance expectancy was also found to have no effect on the adoption of bank chatbot in both groups.
ABSTRACT
To provide a more realistic experience, e-retailers have implemented virtual try-on systems. It is, therefore, important to examine the variable that influences customers' intention to use try-on technologies when online shopping for apparel. The main aim of the current study is to identify and examine the design and individual characteristics that influence centennials to adopt virtual try-on systems. Factors extracted from the UTAUT2 model and technology readiness were proposed in the current study model, which was empirically validated based on data collected from 315 participants. The main results of structural equation modeling largely supported the significant role of "optimism" and "innovativeness" in performance expectancy and price value. Behavioral intention was also predicted by all the factors of UTAUT2 apart from effort expectancy. These results provide a guideline for online retailers on how to communicate with their centennial customers to influence them to adopt try-on technology.
