Special Issue of International Journal of Advertising
on New Insights in Digital and AI Advertising
Extended Abstract Submission Deadline: January 15, 2025
Special Issue Co-Editors:
Professor Juran Kim, Professor of Marketing, Department of Business Administration, Jeonju University, [email protected]
Professor Kacy Kim, Department of Marketing, Bryant University, [email protected]
Artificial intelligence (AI) is changing the digital advertising landscape and how we understand and influence consumer behavior. As AI technologies advance, they are becoming key players in the strategic and creative processes of advertising (Ameen et al., 2022; Ford et al., 2023; Lee & Cho, 2020; Taylor, 2019). This special issue aims to explore how AI is pushing the boundaries of advertising by reshaping how messages are crafted, personalized, and delivered to consumers. AI allows advertisers to create highly targeted campaigns that connect with consumers on a personal level. However, while AI-generated content can be innovative, it often lacks the emotional depth of human created content (Taylor, 2023). This highlights a key challenge in AI-driven advertising: achieving a balance between technical efficiency and emotional impact (Poirier et al., 2024; Yanit, Yanit, & Wan, 2023).
AI’s ability to mimic human-like qualities also opens new perspectives in advertising. Technologies like ChatGPT show how AI can influence consumer perceptions by making AI entities seem more human (Moriuchi, 2021). This anthropomorphism is seen in robots, AI speakers, virtual humans and ChatGPT, where the closer they resemble humans, the more effective they become as persuasive tools (Ahn, Kim, & Sung, 2024; Baek et al., 2022; Kim, Kang, & Bae, 2022a; Mulcahy et al., 2024). Additionally, the behavior of robots toward other robots plays a critical role in shaping how humans perceive and interact with them (Fraune et al., 2020). The dynamics between AI entities can influence human trust, empathy, and overall engagement, further complicating the relationship between AI and human consumers.
Alongside these advancements, there are important ethical and social questions to consider, such as issues related to social proof and subliminal persuasion (Arango, Singaraju, & Niininen, 2023; Campbell et al., 2022; Seele & Schultz, 2022; Zhang & Rodgers, 2023).
This special issue invites contributions that examine AI’s broad influence on advertising, especially its impact on consumer psychology and decision-making. We are interested in how AI enhances creativity in persuasive messaging and in studies on the efficiencies achieved through AI-driven tools like chatbots and virtual assistants (Kim, Kang, & Bae, 2022b; Lou, Kang, & Tse, 2022; Xie et al., 2022). We also seek research on how AI predictive models and engagement metrics are refinding advertising strategies and shaping consumer behavior (Strycharz & Segijn, 2022).
This collection of articles aims to deepen our understanding of how AI is revolutionizing persuasive messaging and shaping consumer behavior. Contributions should focus on both the potential and the ethical implications of AI in advertising, providing new insights into its impact on consumer persuasion and behavior.
Specific topics of interest include but are not limited to:
- AI-Driven eWOM in Persuasive Advertising
- Consumer Psychology of AI-Driven Persuasion
- AI and the Art of Persuasion in Creative Advertising
- AI and Persuasive Messaging
- Interactivity in AI-Powered Persuasion
- Persuasive Chatbots and Virtual Assistants
- Persuasive Virtual Realities in Advertising
- Affective Computing in AI-Powered Advertising
- Trust and Credibility in AI Advertising
- The Ethics of Persuasive AI
- Social Proof and AI
- Subliminal Persuasion through AI
- Behavioral Intent and AI Predictive Models
- Engagement Metrics as Persuasive Tools
We invite researchers to submit papers that explore these themes, providing new insights into the role of AI in advertising. By advancing our understanding of AI’s role in consumer persuasion and advertising, this special issue seeks to pave the way for future research that will continue to push the boundaries of what is possible in this dynamic and rapidly evolving field.
We welcome submissions from non-GMC members but will give special consideration to manuscripts submitted to the ‘New Insights in Digital and AI Advertising’ track of the 2025 Global Marketing Conference at Hong Kong.
Submission and Review Process:
For papers submitted through the GMC process, an extended abstract should be submitted to the ‘New Insights in Digital and AI Advertising’ track of the 2025 GMC at Hong Kong. All submissions, reviews, and notifications of editorial decisions will be conducted electronically through the 2025 Global Marketing Conference at Hong Kong submission page: https://2025gmc.imweb.me/22. Extended abstract submissions should follow the 2025 GMC submission guidelines
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For papers initially submitted to the 2025 Global Marketing Conference (GMC) at Hong Kong, ONLY papers selected by the special issue editors will be considered for this special edition of the International Journal of Advertising on New Insights in Digital and AI Advertising.
All submissions, reviewing and notification will be conducted electronically. Extended abstract submissions should follow 2025 Global Marketing Conference (GMC) at Hong Kong guidelines. Manuscripts submitted to the special issue should be original contributions and should not be under consideration for any other publication at the same time. Submissions will be evaluated by a double-blind review process.
Papers not submitted through the conference should be submitted directly through the special issue submission link on the IJA website.
Full manuscript submission window: October 11, 2025 – November 15, 2025
Direct inquiries to the Special Issue Co-Editors:
Juran Kim1 ([email protected])
Kacy Kim2 ([email protected])
1 Professor of Marketing, Department of Business Administration, Jeonju University
2 Department of Marketing, Bryant University, USA.
For More Information:
1. 2025 Global Marketing Conference at Hong Kong: https://2025gmc.imweb.me/
2. International Journal of Advertising: https://www.tandfonline.com/journals/rina20
References
Ahn, J., Kim, J., & Sung, Y. (2024). The role of perceived freewill in crises of human-AI interaction: the mediating role of ethical responsibility of AI. International Journal of Advertising, 43(5), 847-873.
Ameen, N., Sharma, G. D., Tarba, S., Rao, A., & Chopra, R. (2022). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & Marketing, 39(9), 1802-1825.
Arango, L., Singaraju, S. P., & Niininen, O. (2023). Consumer responses to AI-generated charitable giving ads. Journal of Advertising, 52(4), 486-503.
Baek, T. H., Bakpayev, M., Yoon, S., & Kim, S. (2022). Smiling AI agents: How anthropomorphism and broad smiles increase charitable giving. International Journal of Advertising, 41(5), 850-867.
Campbell, C., Plangger, K., Sands, S., Kietzmann, J., & Bates, K. (2022). How deepfakes and artificial intelligence could reshape the advertising industry: The coming reality of AI fakes and their potential impact on consumer behavior. Journal of Advertising Research, 62(3), 241-251.
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Fraune, M.R. Oisted, B.C., Sembrowski, C.F., Gates, K.A. Krupp, M.M., & Šabanović, S. (2020). Effects of robot-human versus robot-robot behavior and entitativity on anthropomorphism and willingness to interact. Computers in Human Behavior, 105, 106220.
Kim, J., Kang, S. & Bae J. (2022a) Human likeness and attachment effect on the perceived interactivity of AI speakers, Journal of Business Research,144, 797-804.
Kim, J., Kang, S. & Bae J. (2022b) The effects of customer consumption goals on artificial intelligence driven recommendation agents: evidence from Stitch Fix, International Journal of Advertising, 41(6), 997-1016.
Lee, H. & Cho, C. H. (2022). Digital advertising: present and future prospects. International Journal of Advertising, 39(3), 332-341.
Lou, C., Kang, H., & Tse, C. H. (2022). Bots vs. humans: how schema congruity, contingency-based interactivity, and sympathy influence consumer perceptions and patronage intentions. International Journal of Advertising, 41(4), 655-684.
Moriuchi, E. (2021). An empirical study on anthropomorphism and engagement with disembodied AIs and consumers' re‐use behavior. Psychology & Marketing, 38, 21–42.
Mulcahy, R. F., Riedel, A., Keating, B., Beatson, A., & Letheren, K. (2024). Avoiding excessive AI service agent anthropomorphism: examining its role in delivering bad news. Journal of Service Theory and Practice, 34(1), 98-126.
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Strycharz, J., & Segijn, C. M. (2022). The future of dataveillance in advertising theory and practice. Journal of Advertising, 51(5), 574-591.
Taylor, C.R. (2019). Artificial intelligence, customized communications, privacy, and the general data protection regulation (GDPR). International Journal of Advertising, 38 (5), 649–650.
Taylor, C. R. (2023). How Artificial Intelligence Is Helping Today’s Small Businesses. Forbes. https://www.forbes.com/sites/charlesrtaylor/2023/08/09/how-artificial-intelligence-is-helping-todays-small-businesses/ (accessed Aug 20, 2024).
Xie, Z., Yu, Y., Zhang, J., & Chen, M. (2022). The searching artificial intelligence: Consumers show less aversion to algorithm‐recommended search product. Psychology & Marketing, 39(10), 1902-1919.
Yanit, M., Yanit, M., & Wan, F. (2023). Right agent, wrong level of hedonism: How high (vs low) hedonic values in AI-performed tasks lead to decreased perceptions of humanlikeness, warmth, and less consumer support. Computers in Human Behavior, 147, 107870.
Zhang, W., & Rodgers, S. (2023). Linking ethnicity targeting with artificial intelligence and data collection: Perceptions and behavioral responses of black consumers. Journal of Current Issues & Research in Advertising, 44(3), 373-391.
