A review on the Smartwatches as IoT Edge Devices: Assessing the end-users continuous usage intention using structural equation modelling

The goal of this study is to identify people's intentions to use smartwatches and how their use of these devices is affected by the advantages and disadvantages of the IoT. For the research work, five cities were chosen, Delhi, Mumbai, Kolkata, and Chennai. These cities were chosen as a study focus primarily because these cities have seen the biggest increases in smartwatch usage in India. These cities have a significant contribution to the global smartwatch market. They provide a number of data points that are important for the research project, enabling it to provide satisfactory results. Structured questionnaires were used to collect data from the respondents. Convenience sampling method was used for the survey. The sample size for the data collection was 249, and it included men and women from a range of age groups, economic levels, and occupational backgrounds. From the findings, it has emerged that six factors influencing customer intention to use smartwatches are "Perceived usefulness", "Perceived ease of use", "Perceived connectivity", "Continuous usage intention", "Data risk", and "Performance risk". The technological characteristics of the Internet of Things, such as perceived connectivity, act as powerful stimulants for smartwatches, favorably affecting customers' perception and the behavioral effects of smartwatch use. The usefulness of smartwatches is unaffected by IoT concerns like data and performance, but the ease of use is negatively impacted by data risks. Furthermore, usefulness and ease of use have a positive influence on the intention to use.