Gao, K. and Shao, X., 2018. Adoption research of the m-commerce application based on the perspective of supply chain management in shipping industry. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 839–845. Coconut Creek (Florida), ISSN 0749-0208.

This paper built a structural equation model (SEM) of the adoption research of the M-commerce application based on perspective of supply chain. Get sample data through survey, use SEM to validate the fit test and research hypotheses. The results show that: (1) Behavioral intention directly affects the users’ behavior, the affect coefficient is 0.516. Cost reduction, Time Saving, Effort Expectancy, Quality Improvement, Partner Trust, Technology Trust, Facilitating Conditions, Intention of the up-down indirectly affects the use behavior through the behavioral intention. (2) In all influence factors of behavioral intention, the cost reduction's effect intensity is maximum which is 0.483, the second is time saving. Time saving has a direct impact on the behavioral intention and the effect coefficient is 0.263, at the meantime, time saving has an indirect impact on the behavioral intention through the cost reduction and the effect coefficient is 0.483*0.321=0.155, so the effect coefficient of the time saving on the behavioral intention is 0.418. The followed are: Technology trust (0.397), quality improvement (0.382), intention of the up-down (0.387), partner trust (0.329), and facilitating condition (0.265). (3) Effort expectancy plays a negative influence on the behavioral intention and the effect coefficient is -0.173 which means that the more expect to effort, the lower the behavioral intention is, thereby reducing the use of M-commerce (Use behavior).