Predicting the Use Behavior of Micro-Mobility as a Service in the Philippines: A Structural Equation Modeling Approach

2024 9th International Conference on Business and Industrial Research (ICBIR)
(2024), pp. 0835-0840
Alexander A. Hernandez
a
,
Victor James C. Escolano
b
,
Muhammad Syukur
c
,
Ace C. Lagman
d
,
Darrel Cardaña
e
a College of Technology, Lyceum of the Philippines University, Manila, Philippines
b College of Liberal Arts, Technological University of the Philippines, Manila, Philippines
c Sustainability and Entrepreneurship Research Center (SERC), Mae Fah Luang University, Chiang Rai, Thailand
d College of Computer Studies and Multimedia Arts, FEU Institute of Technology, Manila, Philippines
e College of Technology and Allied Sciences, Bohol Island State University-Bilar Campus, Bohol, Philippines
Abstract: Sustainability in transportation technologies is growing in all parts of the world through electric and micro-mobility sharing services. As such, there is a need to explore the factors that influence its adoption and use behavior. However, this is relatively underexamined in many developing countries. This study attempts to understand the intention and use behavior of micro-mobility as a service (MaaS) in the Philippines, a developing country. This study used survey data, and analysis was performed using partial least squares and structural equation modeling (PLS-SEM). Results show that performance expectancy is the strongest predictor of intention, while satisfaction is the least significant predictor. Factors such as social influence, price value, and habit have a positive effect on intention. Overall, the predictive model is explained by the coefficient of determination, revealing that behavior intention, satisfaction, and use behavior have large predictive relevance. This study provides theoretical and practical implications for further micro-mobility research in the future.