Despite the popularity of online health services (OHSs) among patients in recent years, academic research on this phenomenon is limited. Drawing on the valence framework, the authors proposed a model to explore both the most important facilitators of OHS use intention from the perceived value perspective and inhibitors of OHS use intention from the perceived risk perspective. Data were collected from 407 OHS users through an online survey. Results showed that the inhibitors of OHS use intention include privacy risk and social risk, while facilitators include social support value, convenience value, and utilitarian value. These findings enrich the OHS literature by revealing both the inhibitors and facilitators of OHS use intention. This study also provides practical implications for platforms offering OHS in relation to effectively attracting users.

Cross-border electronic-commerce (CBEC) is growing. However, due to differences in culture, habits, history and language among other factors, consumers in different regions may have different perception towards the same product information on CBEC platforms, which may lead to differences in their cognition of the product with implications for purchase intentions. Presently, little research has attempted to understand whether there are such differences between global consumers through the examination of measurement invariance (MI) in CBEC environments. By using multiple-group confirmatory factor analysis (MG-CFA), this study explored the invariance of two product information cognitions on CBEC platforms, namely product description and product awareness, among consumers in North America, Europe, Latin America and Oceania. Data was collected from users of a popular CBEC platform in China. We find no significant differences in understandings and levels of awareness of product information across the four groups of consumers.

Cross-border e-commerce (CBEC) has become an imperative mode for global trade. Research on cross-border e-commerce historically focuses mainly on the customer's behavior intention to purchase on a CBEC platform. However, B-buyers are more important compared with C-buyers for CBEC platforms. This is because B-buyers can contribute more gross merchandise volume (GMV) in a CBEC platform, and thus more margin for the firm. The authors apply trust transfer theory, perceived risk, and alternative website quality to study repurchase intention, focusing on B-buyers. The results show that perceived risk, trust in provider, and trust in the website affect repurchase intention significantly, where trust in website is found to be the most important factor. In addition, the authors found that the dimensions of perceived risk in CBEC context can be classified as the following: customer duties risk, confiscation risk, delivery risk, financial risk, and privacy risk. The contributions of the study are addressed lastly.