2018
DOI: 10.1016/j.ijinfomgt.2018.03.005
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A mixed method investigation of sharing economy driven car-hailing services: Online and offline perspectives

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Cited by 141 publications
(143 citation statements)
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References 46 publications
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“…Extended, the sharing economy is seen as an integrated and collective system of entrepreneurs and consumers who attempt to leverage technology to share and maximize the use of resources, save money, and generate capital (Cohen & Shaheen, 2018). The car-sharing services can be categorized into online and offline services (Cheng et al, 2018). The online services involve the services conducted online, reservation, electronic payment as well as user reviews and offline services when the individual user is picked up in the car (Cheng et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Extended, the sharing economy is seen as an integrated and collective system of entrepreneurs and consumers who attempt to leverage technology to share and maximize the use of resources, save money, and generate capital (Cohen & Shaheen, 2018). The car-sharing services can be categorized into online and offline services (Cheng et al, 2018). The online services involve the services conducted online, reservation, electronic payment as well as user reviews and offline services when the individual user is picked up in the car (Cheng et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The study assumes that the basis for adopting the hypothesis about the simultaneous occurrence of equally strong positive and negative attitudes towards SM will be the size of the effect based on the distance between the averages. It is assumed that obtaining a mean or greater effect measured by Cohen's d is the basis for rejecting the ambivalence hypothesis in a given plane, and 0.5 was accepted as the limit value for small effect (Cheng et al, 2018). As a result of the conducted analyses, H3 and H4 hypotheses were not confirmed, similar to H5 and H6.…”
Section: Resultsmentioning
confidence: 97%
“…Perceived security protection refers to clients' perception that the platform will fulfill security requirements during the transaction process [33]. For example, when clients realize that there are some security features and protection mechanisms, including a security policy, a safe guarantee or protection in the ridesharing platform, they will obtain more assurance from the platform and their institution-beliefs will be built [34]. During our interview with the clients, many clients mention that policy on privacy protection in ridesharing platforms may enhance their beliefs that the ridesharing platform is under the supervision of the central government and their rights and interests are guaranteed.…”
Section: H1b Cognition-based Beliefs Have a Positive Impact On Clienmentioning
confidence: 99%