Published at : 29 May 2026
Volume : IJtech
Vol 17, No 3 (2026)
DOI : https://doi.org/10.14716/ijtech.v17i3.8309
| Hwi-Chie Ho | Industrial Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta 11480, Indonesia |
| Amir Tjolleng | Industrial Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta 11480, Indonesia |
| Harjanto Prabowo | Management Department, BINUS Business School - Doctor of Research in Management, Binus Business School, Bina Nusantara University, Jakarta 11480, Indonesia |
| Dyah Lestari Widaningrum | Industrial Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta 11480, Indonesia |
| Bertha Maya Sopha | Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia |
This study applies Conservation of Resources (COR) theory to examine technology acceptance in rail-based public transportation through an integrated structural path model linking the Big Five personality traits, intention to use, social support, user experience, and continuance-oriented technology acceptance. Survey data from 584 commuters in the Jakarta metropolitan area, Indonesia, were analyzed using Structural Equation Modeling (SEM). The proposed model shows good fit and substantial explanatory power (R2 = 0.58 for user experience, 0.72 for social support, and 0.79 for technology acceptance). The findings indicate that technology acceptance follows multiple entry points rather than a single uniform route: agreeableness, conscientiousness, and neuroticism are associated with intention to use, openness with social support, and extraversion with user experience. Intention to use also plays a dual role by directly influencing and indirectly shaping technology acceptance through social support and user experience. Overall, this study extends conventional linear acceptance models by offering an integrated and context-sensitive explanation of sustained public rail acceptance in an urban collectivist setting. As this study is based on cross-sectional data, future research could further examine these pathways using longitudinal or experimental designs.
Personality traits; Rail-Based public transportation; Social support; Technology acceptance; User experience
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