EconPapers    
Economics at your fingertips  
 

Is semiotics capable of improving advertising effectiveness for Gen Z?

R.K. Srivastava and Sandeep Bhanot

International Journal of Business Forecasting and Marketing Intelligence, 2026, vol. 11, issue 1, 92-113

Abstract: It is qualitative research involving NVIVO software and a word cloud followed by quantitative research involving primary research. Our study examines the impact of semiotics exhibited in TV advertisements on viewers like Gen Z as they are emerging a big market for consumer products. It was found that brand recall was influenced by trust in the brand if it was targeted at Gen Z. As a result of incorporating semiotics into the advertisement, it will enhance mood and emotion, and will likely be influenced by cultural values as a background, followed by music and jingles, dialogue choices, signs, and symbols if it is aimed at Gen Z in emerging markets like India. The results of this study provide marketers with practical guidelines for designing advertisements using semiotics that appeal to Gen Z of different ages and genders. This research study adds value to existing literature in Indian advertising using semiotics. The influence of television advertising using semiotics on Gen Z in their brand recall and purchase intentions in emerging markets is an important contribution, as they are the main target consumers for global brands.

Keywords: semiotics; cultural values; emotion and mood; music and jingle; brand recall. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=150461 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbfmi:v:11:y:2026:i:1:p:92-113

Access Statistics for this article

More articles in International Journal of Business Forecasting and Marketing Intelligence from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2026-06-23
Handle: RePEc:ids:ijbfmi:v:11:y:2026:i:1:p:92-113