Table 3 The most influential documents.
From: Impact of artificial intelligence on branding: a bibliometric review and future research directions
ID | Author | Title | Citations |
|---|---|---|---|
1 | Goh et al. (2013) | Social media brand community and consumer behaviour: Quantifying the relative impact of user- and marketer-generated content | 1038 |
2 | Dwivedi et al. (2021) | Setting the future of digital and social media marketing research: Perspectives and research propositions | 738 |
3 | Lee et al. (2018) | Advertising content and consumer engagement on social media: Evidence from Facebook | 527 |
4 | Tirunillai and Tellis (2014) | Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation | 519 |
5 | Chung et al. (2020) | Chatbot e-service and customer satisfaction regarding luxury brands | 421 |
6 | Buhalis and Sinarta (2019) | Real-time co-creation and nowness service: lessons from tourism and hospitality | 382 |
7 | Hoffman and Novak (2018) | Consumer and object experience in the internet of things: An assemblage theory approach | 372 |
8 | Li and Xie (2020) | Is a Picture Worth a Thousand Words? An Empirical Study of Image Content and Social Media Engagement | 325 |
9 | Arora et al. (2019) | Measuring social media influencer index- insights from Facebook, Twitter, and Instagram | 317 |
10 | Kiss and Bichler (2008) | Identification of influencers - Measuring influence in customer networks | 302 |
