EconPapers    
Economics at your fingertips  
 

How social media data can influence consumers' attitudes towards cosmetic brands The case of Maybelline

Rajibul Hasan (), Mustafeed Zaman and Eloïse Princet
Additional contact information
Rajibul Hasan: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Mustafeed Zaman: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Eloïse Princet: ESC [Rennes] - ESC Rennes School of Business

Post-Print from HAL

Abstract: Social media data play a vital role in consumers' brand awareness and their loyalty. However, little is known about consumers' social media activities in the context of cosmetic brands. This research examines the impact of consumers' social media activities and the use of social media data on their attitude of one cosmetic brand - Maybelline. Analysing the survey data from 248 French consumers using SmartPLS software, we unexpectedly find: 1) consumers' attitude towards online sponsored recommendations strongly influence their attitude towards a cosmetic brand; 2) both consumers' online contributions on social media and their peers' social influence positively influence their attitude towards a cosmetic brand. Results also suggest that on social media, consumers look for trustworthy information on cosmetic brands. Our results also highlight how cosmetic brands may optimise their social media data in order to create trustworthy contents on social media.

Keywords: Social media data; Brand attitude; Cosmetic brand; Maybelline; France (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Published in International Journal of Big Data Management , 2022, 2 (2), pp.117. ⟨10.1504/IJBDM.2022.128443⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:hal:journl:hal-05151556

DOI: 10.1504/IJBDM.2022.128443

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-07-15
Handle: RePEc:hal:journl:hal-05151556