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Exploring continuance intention to use electric motorcycles among students in Hanoi using expectation confirmation theory

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To sustain the development of urban transportation, electrifying private motorized vehicles is a top goal besides the development of public transport. This study aims at investigating the influential factors of continuance intention to use electric motorcycles based on an extension of Expectation Confirmation Theory (ECT). To empirically test the proposed conceptual framework, Partial Least Squares Structural Equation Modeling (PLS-SEM) and the data of 394 students in Hanoi collected in August 2022 are used. The results show that perceived usefulness and satisfaction directly facilitate the continuance intention while perceived ease of use and expectation confirmation have indirect positive effects. Female students tend to have less intention to continue using electric motorcycles while those living in non-urban districts seem to have a higher continuance intention. The prediction capacity of the model is high with over 65% of the variance of continuance intention being explained by (independent) constructs. Based on the findings of influential factors, the authors propose practical implications for triggering the use of electric motorcycles among students
Title: Exploring continuance intention to use electric motorcycles among students in Hanoi using expectation confirmation theory
Description:
To sustain the development of urban transportation, electrifying private motorized vehicles is a top goal besides the development of public transport.
This study aims at investigating the influential factors of continuance intention to use electric motorcycles based on an extension of Expectation Confirmation Theory (ECT).
To empirically test the proposed conceptual framework, Partial Least Squares Structural Equation Modeling (PLS-SEM) and the data of 394 students in Hanoi collected in August 2022 are used.
The results show that perceived usefulness and satisfaction directly facilitate the continuance intention while perceived ease of use and expectation confirmation have indirect positive effects.
Female students tend to have less intention to continue using electric motorcycles while those living in non-urban districts seem to have a higher continuance intention.
The prediction capacity of the model is high with over 65% of the variance of continuance intention being explained by (independent) constructs.
Based on the findings of influential factors, the authors propose practical implications for triggering the use of electric motorcycles among students.

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