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UNIRAZAK Library Pustaka
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| Abstract : UNIRAZAK Library |
| Mobility as a Service (MaaS) was a concept gaining attention globally, including in
Malaysia. MaaS involves integrating various forms of transportation services into a single,
accessible, and user-friendly platform. The popularity of MaaS often depends on factors
such as urbanization, technological advancements, and government initiatives to
promote sustainable and efficient transportation. This study intends to investigate the
factors of user behaviour and acceptance MaaS adoption in Malaysia, specifically
focusing at urban area such Shah Alam, Selangor. The assessment on aspects such level
of awareness, demographics factors, perceptions and the challenges. By examining
these factors, the study aims to provide a deeper understanding of the determinants of
user intentions in the context of MaaS. The objective is to provide insights user behavior
in choosing MaaS channel that contributes to the existing literature on mobility research.
A sample of 217 respondents from Malaysia participated in the study and provided data
on their attitudes, perceptions, and behavioral intentions towards MaaS. The study used
self-reported questionnaires, which were then analyzed using statistical techniques such
as Pearson correlation and multiple regression analysis. Cost effectiveness element was
another significant driver of MaaS adoption. The study contributes to theoretical
implications, particularly the application of the Technology Acceptance Model (TAM) and
the Unified Theory of Acceptance and Use of Technology (UTAUT) in the context of
Mobility as a Service (MaaS) adoption among residents of Shah Alam. The study is
constrained by several factors such its geographic focus on Shah Alam and reliance on
self-report measures. Nevertheless, the findings provide valuable insights for
practitioners, policymakers, and marketers seeking to promote and improve the market
for MaaS. Future research is recommended to further explore the causal relationships
between variables and expand the generalizability of the findings. |
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