Impact of environmental triggers on students’ behavior to use ride-sharing services: the moderating role of perceived risk - s12144-021-02405-z.pdf

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• PU and PEU is a strong predictor of BI,

• this paper attempts to explore students’ behavior regarding the use of ride-sharing services by extending the “Technology Acceptance Model.”

• the study focuses on determining the moderating role of perceived risk between the proposed relationships.

• findings of this research are useful for ride-sharing service providers and policymakers who can pro- mote the services among students by reducing the perceived risks and promoting the environmental benefits of ride-sharing.

• he first recommendation is to target the students of other cities as well.

• future researchers can conduct the same research by adopting a mixed-method approach, i.e., quantitative and qualitative.

• it is recommended to study the same research model in two different countries and conduct a comparative analy- sis.

• Fourth, other mediating and moderating factors can also be added to extend the model further and identify predictors of ride-sharing behavior.

• Such as govern- ment support, inflation, green values, and price value can be incorporated as moderators, and consumers’ attitudes can be used as a mediator.

• uture researchers can increase independent variables. For instance, the research framework can add constructs of the “Unified theory of acceptance and use of technology” (performance expectancy, hedonic moti- vation, social influence, facilitating conditions, and effort expectancy).

• So, when students observe that ride-sharing services are easy to use, accessible, reliable, and convenient for daily use, they will prefer ride-sharing services instead of local transportation.

• This means that students’ concern for the environment is not a strong predictor of their BI to use ride-sharing services.

• It means that knowledge and awareness about the environment strongly impact students’ BI to use ride-sharing services.

• When students have enough knowledge about the environment and are aware of the deteriorating facts, they will ultimately participate in eco-friendly activities that might reduce pollution.

• As ride- sharing services help reduce travel expenses, pollution, and traffic (Wang et al., 2019; Wang et al., 2020). So, students will depict a positive BI towards a sustainable transporta- tion system.

• It means that when students are highly concerned about the risks of ride- sharing services so, despite environmental knowledge, they will depict negative behavioral intention because of the risk

• PR can affect stu- dents’ BI.

• the benefits and its convenient process influence

• a students’ BI regarding ride-sharing services.

• application of ride-sharing services should be user-friendly.