M-health apps have developed rapidly and are widely accepted, but users’ continued intention to use m-health apps has not been fully explored. This study was designed to obtain a better understanding of users’ continued intention to use m-health apps. We developed a theoretical model by incorporating the protection motivation theory and network externalities and conducted an empirical study of a 368-respondent sample. The results showed that: (1) perceived vulnerability has a direct impact on users’ self-efficacy and response efficacy; (2) self-efficacy and response efficacy have a direct impact on users’ attitudes and continued intention; (3) network externalities affect users’ attitudes and continued intention, among which direct network externalities have an indirect impact on users’ continued intention through attitude; and (4) the impacts of self-efficacy, response efficacy, and indirect network externalities on continued intention are partially meditated by attitudes.

Based on the elaboration likelihood model, means-end chain theory, and gender, this study investigates the effects of the quantity and quality of online reviews, which are mediated by two types of perceived values (utilitarian and hedonic values), on continuance intention to use IOO websites. We further argue that these relationships are moderated by gender. Based on a survey of 291 IOO customers in China, the results suggest that (1) perceived utilitarian and hedonic value completely mediate the positive relationship between online reviews and consumers' continuance intention; (2) through perceived utilitarian value, the indirect effect of the quantity of online reviews on consumers' continuance intention is stronger for females, while the quality of online reviews on consumers' continuance intention is stronger for males; and (3) through perceived hedonic value, the indirect effect of the quantity and quality of online reviews on consumers' continuance intention have no significant difference.

Textual information retrieval (TIR) is based on the relationship between word units. Traditional word segmentation techniques attempt to discern the word units accurately from texts; however, they are unable to appropriately and efficiently identify all new words. Identification of new words, especially in languages such as Chinese, remains a challenge. In recent years, word embedding methods have used numerical word vectors to retain the semantic and correlated information between words in a corpus. In this article, we propose the word-embedding-based method (WEBM), a novel method that combines word embedding and frequent n-gram string mining for discovering new words from domain corpora. First, we mapped all word units in a domain corpus to a high-dimension word vector space. Second, we used a frequent n-gram word string mining method to identify a set of candidates for new words. We designed a pruning strategy based on the word vectors to quantify the possibility of a word string being a new word, thereby allowing the evaluation of candidates based on the similarity of word units in the same string. In a comparative study, our experimental results revealed that WEBM had a great advantage in detecting new words from massive Chinese corpora.

We draw upon the social capital theory in order to discuss how three dimensions of social capital affect consumer value and loyalty to online outshopping platforms. After considering the characteristics of consumers, we propose that the structural, relational, and cognitive dimensions of social capital promote consumers’ perceptions of utilitarian and idea shopping value, and that those perceived values increase loyalty to online outshopping platforms. The survey data of 291 Chinese consumers with online outshopping platform experience are used to test the model. The results show that different dimensions of consumers’ social capital influence their loyalty through different values. Utilitarian value mediates the effects of structural capital and cognitive capital on loyalty, whereas hedonic value (ideal shopping value) mediates the effects of structural and relational capital on loyalty.