Blablacar is a peer to peer, it’s a website that enables a driver of a car to offer a sit for a travel between two places. Other users can book a sit and let a review on the driver profile once the service has been performed. When a user is looking for an offer, they can have access to both, the offer of the driver, the post, and the reviews left by previous users. Both messages can influence the booking intention of users. This research tends to study at the same time how those information and their source influence the purchase intention of the online users. Two studies are conducted through the use of the signal theory. This theory considers two types of signals, content related signal, and source related signal. The second study also share the signal theory and also incorporate the trust transfer theory. The first study is focusing on the driver offer, with the manipulation of code-Switching with and without, information volume high and low, driver expertise high and low. The results show that all those variable influences the expectation service quality and overall the booking intention. The second study focus on the reviews influence through sidedness, review volume and reviewer expertise, all manipulated as high and low. The results show that this influence the expected service quality through the trust transfer theory.

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