Suchergebnisse

PurposeSharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users' sharing behaviors on networking sites.Design/methodology/approachA research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.FindingsThe analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.Originality/valueThis research provides a comprehensive theoretical understanding of users' sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

This paper examines how China has been portrayed in international cinema throughout the twentieth and twenty-first centuries. Using the Internet Movie Database, the authors extract the plot synopses of 4,927 China-related films. The authors apply the word embedding technology and Latent Dirichlet Allocation (LDA) topic model to explore the cinematic plots, as well as achieve the sentiment score and ascertain the socioeconomic factors of score change. The findings indicate that the image of China in international cinema has been associated with gross domestic product (GDP) and foreign direct investment. The image of China changed from the barbarian to the schemer, and finally to the civilized great power, giving the insight into cultural trends that traditional research methods cannot capture. (J Contemp China/GIGA)