Abstract
A mobile application-based service providing table-based information on the reduced emission amounts of greenhouse gases by riding the e-scooter was proposed to increase user awareness of air quality and purchase intention towards e-scooters. The extended unified theory of acceptance and use of technology was employed and an explanatory variable of environmental awareness (EA) was incorporated for enhancing constructs to investigate the factors that may influence the user acceptance of table-based mobile information on the reduction in emissions of six air pollution sources. The results indicate that the model constructs of habit, EA, social influence, and effort expectancy are useful predictors of the behavioral intention (BI) to use app services in receiving air pollution information. In addition, the model constructs of EA and BI are useful predictors of the purchase intention for e-scooter products after received the table-based air pollution information.
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