TY - JOUR
T1 - Interrelationships between behaviour intention and its influential factors for consumers of motorcycle express cargo delivery service
AU - Chen, Huey Kuo
AU - Chou, Huey Wen
AU - Hung, Sam Chu
N1 - Publisher Copyright:
© 2018, © 2018 Hong Kong Society for Transportation Studies Limited.
PY - 2019/11/29
Y1 - 2019/11/29
N2 - Motorcycle express cargo delivery service (MECDS), part of the ‘sharing economy’, allows utilisation of motorcycle surplus capability without requiring additional investment. Investigating interrelationships of factors that influence MECDS use, this research uses a framework based on theory of planned behaviour (TPB), technology acceptance model (TAM), and perceived risk. The analysis applies partial least squares structural equation modeling (PLS-SEM) to explore path relationships of influential factors. To elaborate heterogeneity, it applies PLS multi-group analysis by gender and prior MECDS use, and PLS prediction-oriented segmentation for latent variables. A survey of 287 valid respondents included users of GoGoVan's MECDS and nonusers Except for subjective norm, all factors from TPB and TAM can influence and explain, either directly or indirectly, behaviour intention about using MECDS. Perceived usefulness mediates the impact of perceived ease of use on behaviour intention; user type and also latent variables moderate the model. Managerial implications are provided in conclusion.
AB - Motorcycle express cargo delivery service (MECDS), part of the ‘sharing economy’, allows utilisation of motorcycle surplus capability without requiring additional investment. Investigating interrelationships of factors that influence MECDS use, this research uses a framework based on theory of planned behaviour (TPB), technology acceptance model (TAM), and perceived risk. The analysis applies partial least squares structural equation modeling (PLS-SEM) to explore path relationships of influential factors. To elaborate heterogeneity, it applies PLS multi-group analysis by gender and prior MECDS use, and PLS prediction-oriented segmentation for latent variables. A survey of 287 valid respondents included users of GoGoVan's MECDS and nonusers Except for subjective norm, all factors from TPB and TAM can influence and explain, either directly or indirectly, behaviour intention about using MECDS. Perceived usefulness mediates the impact of perceived ease of use on behaviour intention; user type and also latent variables moderate the model. Managerial implications are provided in conclusion.
KW - heterogeneity analysis
KW - Motorcycle express cargo delivery service
KW - partial least squares structural equation modelling
KW - sharing economy
KW - theory of planned behaviour
UR - http://www.scopus.com/inward/record.url?scp=85052061302&partnerID=8YFLogxK
U2 - 10.1080/23249935.2018.1509401
DO - 10.1080/23249935.2018.1509401
M3 - 期刊論文
AN - SCOPUS:85052061302
SN - 2324-9935
VL - 15
SP - 526
EP - 555
JO - Transportmetrica A: Transport Science
JF - Transportmetrica A: Transport Science
IS - 2
ER -