Yong Li

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated.

To achieve satisfying effects of plastic ban policies, it is important to promote people’s intention to use green bags. Many studies have examined the antecedents of reducing plastic bag usage, but research regarding the influential factors of reusable bag usage is limited. Based on a survey of 532 respondents in China, a multiple linear regression model is constructed in this study to examine the determinants of individuals’ intention to carry reusable bags for shopping. Results show that plastic ban awareness, social responsibility, environmental motivation, and economic motivation significantly and positively affect consumers’ intention to use reusable bags for shopping. Of the two motivation factors, environmental motivation has a greater impact. More importantly, economic motivation positively moderates the relationship between environmental motivation and the intention to use reusable bags. This finding suggests a motivation “crowding-in” effect in predicting consumers’ intention to carry reusable bags for shopping. Results of this study also indicate that female, older, and richer people are more inclined to carry reusable bags for shopping. Implications for plastic crisis management are discussed.

Investigating how people respond to and view AI-created artworks is becoming increasingly crucial as the technology’s current application spreads due to its affordability and accessibility. This study examined how AI art alters people’s evaluation, purchase intention, and collection intention toward Chinese-style and Western-style paintings, and whether art expertise plays a role. Study 1 recruited participants without professional art experience and found that those who made the paintings would not change their liking rating, purchase intention, and collection intention. In addition, they showed ingroup preference, favoring Chinese-style relative to Western-style paintings, in line with previous evidence on cultural preference in empirical aesthetics. Study 2 further investigated the modulation effect of art expertise. Art experts evaluated less favorably AI-generated paintings relative to artist-made paintings, while non-experts showed no preference. There was also an interaction effect between the author and the art expertise and interaction between the painting style and the art expertise. Collectively, the findings in this study showed that who made the art matters for experts and that the painting style affects aesthetic evaluation and ultimate reception of it. These results would also provide implications for AI-art practitioners.

This study contributes to our understanding of organizational identity through dichotomous motivations of altruism and egoism in nonprofit organizations. By applying an empirical analysis of NPO members, organizational identity is found to be well explained by altruistic motivation and egoistic motivation. More importantly, this study finds that collectivism positively moderates the relationship between altruistic motivation and organizational identity, and negatively moderates the relationship between egoistic motivation and organizational identity. It is noticeable that altruistic motivations have a stronger impact on organizational identity when collectivism is high, while egoistic motivations have a stronger impact on organizational identity when collectivism is low. Finally, this study generates helpful management implications based on research findings. It is suggested that the managers of NPOs could enhance members’ organizational identity by taking motivations and collectivism into consideration, that is to say, in order to build up organizational identity of NPO members, both righteousness and shared interests matter simultaneously.