The effects of AI-generated advertisements on customer engagement and emotions based on Hofstede’s cultural dimensions: a study from the Generation Z international optic
Article
Priporas, C.V., Hussain, S. and Rahman, H. 2025. The effects of AI-generated advertisements on customer engagement and emotions based on Hofstede’s cultural dimensions: a study from the Generation Z international optic. International Marketing Review. 42 (4), pp. 633-665. https://doi.org/10.1108/IMR-10-2024-0433
| Type | Article |
|---|---|
| Title | The effects of AI-generated advertisements on customer engagement and emotions based on Hofstede’s cultural dimensions: a study from the Generation Z international optic |
| Authors | Priporas, C.V., Hussain, S. and Rahman, H. |
| Abstract | Purpose- This study examines the effects of AI-generated advertisements on customer engagement, and the subsequent customer engagement effect on emotions based on culture. Its objectives are: (i) to explore the effects of Hofstede’s cultural dimensions on AI-generated advertisements, (ii) to explore the effect of AI-generated advertisements on customer engagement based on Hofstede’s cultural dimensions, and (iii) to explore the effect of customer engagement on emotions based on Hofstede’s cultural dimensions. Design/methodology/approach – We conducted a qualitative study, involving 65 semi-structured interviews with the members of Generation Z from different countries. Examples of two international brands, together with their advertisements, were employed as a basis for the questions. Further, thematic analysis by means of NVivo 12 was used to analyse the collected data. |
| Keywords | AI-generated advertisement; brand; customer engagement; emotions; Hofstede’s six cultural dimensions; Generation Z |
| Sustainable Development Goals | 12 Responsible consumption and production |
| Middlesex University Theme | Creativity, Culture & Enterprise |
| Publisher | Emerald Publishing Limited |
| Journal | International Marketing Review |
| ISSN | 0265-1335 |
| Electronic | 1758-6763 |
| Publication dates | |
| Online | 02 May 2025 |
| 10 Sep 2025 | |
| Publication process dates | |
| Submitted | 30 Oct 2024 |
| Accepted | 07 Apr 2025 |
| Deposited | 09 Apr 2025 |
| Output status | Published |
| Accepted author manuscript | License File Access Level Open |
| Copyright Statement | This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please visit Marketplace (https://marketplace.copyright.com/rs-ui-web/mp) |
| Web address (URL) | https://www.emerald.com/insight/content/doi/10.1108/imr-10-2024-0433 |
| Digital Object Identifier (DOI) | https://doi.org/10.1108/IMR-10-2024-0433 |
| Web of Science identifier | WOS:001479405800001 |
| Language | English |
https://repository.mdx.ac.uk/item/22yx8y
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