TECHNOLOGY ACCEPTANCE AND BEHAVIORAL INTENTIONS OF HOME IOT HEALTHCARE DEVICES IN SMART CITY ENVIRONMENTS: A COMPARATIVE STUDY BETWEEN GENERATION XY AND Z

Abstract

This study explores the acceptance and behavioral intentions towards home IoT healthcare devices within the context of a smart city, aiming to understand how these technologies can enhance urban healthcare outcomes. A sample of 571 respondents was analyzed using SmartPLS 4.0, with reliability and validity confirmed through such as Cronbach's Alpha, Composite Reliability (CR), and Average Variance Extracted (AVE) tests. Hypothesis testing revealed via SmartPLS 4.0 that performance expectancy (β = 0.118, p = 0.044), effort expectancy (β = 0.184, p < 0.001), social influence (β = 0.208, p < 0.001), and consumer innovativeness (β = 0.356, p < 0.001) significantly influence attitudes towards these devices while facilitating conditions (β = 0.057, p = 0.222) did not. Additionally, attitudes (β = 0.802, p <0.001) were found to have a positive and significant effect on behavioral intention. An independent t-test performed using IBM SPSS 26.0 revealed significant differences between generation groups for all variables except facilitating conditions, with the generation Z group showing higher usage. The findings emphasize the importance of demographic factors in the adoption of IoT healthcare technologies in smart cities. By identifying key influences on user attitudes and noting the higher usage among the generation Z group, this research provides valuable insights for policymakers and technology developers. These insights can guide the implementation and promotion of IoT healthcare devices, ensuring they meet the needs of diverse urban populations and contribute to more inclusive and effective smart city healthcare solutions.