Investigating factors influencing mobility-as-a-service (MaaS) adoption: an integrated technology acceptance model (TAM)-task-technology fit (TTF) perspective

Abstract

This research explores the intention to adopt Mobility-as-a-Service (MaaS) in Malaysia by introducing an extended framework that integrates the Technology Acceptance Model (TAM) and Task-Technology Fit (TTF), alongside four complementary psychosocial determinants of attitude, social influence, perceived risk, and individual innovativeness. A structured questionnaire was distributed to digitally connected urban commuters in Malaysia. Hypothesized paths were assessed using Partial Least Squares Structural Equation Modelling (PLS-SEM), with predictive validity examined through the PLS Predict algorithm. The findings indicate that perceived usefulness, ease of use, and task-technology fit are key cognitive drivers of MaaS adoption. Moreover, social influence and individual innovativeness significantly enhance behavioural intention, whereas perceived risk exerts a deterrent effect. This research enhances MaaS research by combining TAM and TTF with underexplored psychosocial constructs in a developing country context. It offers a context-sensitive, behaviourally informed model with strong explanatory and predictive performance. Developers should enhance platform usability and ensure alignment with users’ daily mobility patterns. Policymakers are encouraged to build digital trust and promote inclusive multimodal transport systems. Efforts to amplify social endorsement and reduce perceived risks are critical to increasing MaaS adoption.

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