Understanding the Impact of Smartwatch Use on Environmental Sustainability Using a Hybrid SEM-ANN Approach

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The British University in Dubai
While smartwatches have many advantages for physical activity and health, their use can also result in electronic waste and the depletion of resources. The study aims to fill the current knowledge gap about the relationship between smartwatch use and environmental sustainability via an extended UTAUT2 theoretical model and subsequently validated and evaluated using a hybrid SEM-ANN technique to achieve this. Three models were deployed in the ANN (Use, Effort Expectancy, and Performance Expectancy). Most participants in this study, comprising 303 smartwatch owners from the United Arab Emirates, reported using their watches mostly for fitness-related activities. Of the 13 hypotheses put forth by the study, the model supports 10 of them while rejecting the other 3. The findings of this research hold strategic importance for researchers and professionals involved in developing smartwatches. The insights gained from this study can guide and inform future research and development efforts in the field. Understanding the impact of smartwatch usage on environmental sustainability is particularly relevant and timely, considering the growing concerns about ecological balance and resource conservation. By identifying the specific constructs that significantly influence the adoption and use of smartwatches and their relationship with environmental sustainability, this study provides valuable insights for designing more sustainable and user-friendly smartwatch technologies. Researchers and developers can leverage these findings to inform smartwatches’ design, marketing, and implementation strategies to promote greater acceptance and sustainable usage patterns.
smartwatch, ANN-SEM, fitness, UTAUT2