Buying Through Social Platforms: Perceived Risks and Trust Martínez López, Francisco José Li, Yangchun Feng, Changyuan López López, David Platform risk Purchase behavior Purchase intention Seller risk Social commerce Social computing Social media Social media monetization Trust beliefs This work was supported by the National Natural Science Foundation of China (NSFC) under the grant number 71702064 and the China Scholarship Council. Social platforms are currently encountering a set of burning issues: low ad conversion rates, crosschannel free-riding phenomena, lack of monetary incentives to retain premium content creators, etc. Direct purchase behaviors between social platform users (e.g., making a direct purchase through a seller’s promotional post) can largely resolve these problems. Therefore, it is imperative to study the factors that influence users’ direct purchase behavior. This paper focuses on risk- and trust-related factors, proposing a theoretical model that was tested on two samples of Chinese users of WeChat. The authors concluded that users tend to evaluate the shopping risk associated with the social platform first, then go through a process of building trust in the platform before making purchases. Further, this trust can generate a halo effect on seller risk. Finally, trust and seller risk directly impact on users’ purchase intention to buy from the seller on the platform. 2021-09-22T08:32:57Z 2021-09-22T08:32:57Z 2021 journal article Martínez-López, F. J... [et al.] (2021). Buying Through Social Platforms: Perceived Risks and Trust. Journal of Organizational and End User Computing (JOEUC), 33(4), 70-93. DOI: [10.4018/JOEUC.20210701.oa4] http://hdl.handle.net/10481/70350 10.4018/JOEUC.20210701.oa4 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España IGI Global