The market for smartwatches owes its origins to the burgeoning need for self-monitoring of tracking health and fitness parameters by individuals. In the present study, we attempted to analyze the technological evolution leading to the emergence of dominant design in smart watches. We employed two multivariate techniques: principal component analysis (PCA) and discriminant analysis to study the technological characteristics of such devices.
A study of the smart watch brand variants from the manufacturers’ perspective has been undertaken. We examined the technical and functional attributes of smartwatch models using the Multiple Discriminant Analysis (MDA) to gain insights into the brand positioning of wearable devices.
Seamless integration of wearable devices with mobile apps fast emerged as a public health imperative to improve physical fitness. Despite the rapid proliferation of health and fitness apps, their adoption by smartphone users has been sparsely studied. The present study uses Interactive Qualitative Analysis (IQA), a systems method, to investigate the factors influencing the adoption of health and fitness mobile apps.
The present study developed a conceptual model utilizing environmental (institutional), technological, individual, and psychological factors to study the continuous intention to use wearable devices. Through qualitative and empirical investigations, the present study contributes to the body of knowledge on health and fitness wearable devices.