Purpose This paper aims to examine the relationship between individual bicultural identity and attitudes toward diversity. The authors also theorize and test the mechanism through which individual bicultural identity will be more likely to result in positive attitudes toward diversity. Design/methodology/approach The authors collected survey data drawing from two different samples and two different measures of attitudes toward diversity. To test the hypotheses, the authors conducted structural equation modeling analyses. Findings The authors found that individual bicultural identity increases positive attitudes toward diversity and cultural intelligence partially mediates this relationship. Individual bicultural identity increases positive attitudes to others not necessarily known to us. Originality/value The authors integrate the cultural intelligence framework and the common in-group identity model in assessing the role of cultural intelligence in both individual bicultural identity and attitudes toward diversity.

Today, artificial intelligence (AI) is becoming increasingly important in both industry and academics. To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and content analysis to examine the top 10 authors, top 20 most cited articles, and top 11 milestone papers from our 628 articles sample. Bibliometric study identified leading authors, documents, universities, countries, and sources of these articles. By using SNA, we spotted an academic social network of crucial publications. Moreover, we recognized eleven milestone articles that constitute the main knowledge flow in AI marketing through main path analysis. Finally, we discussed future directions based on our findings. Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface.