EconPapers    
Economics at your fingertips  
 

Apparel e-tailing: website quality indicators and customer satisfaction

Neeraj Bansal and Sanjeev Kumar Sharma

International Journal of Internet Marketing and Advertising, 2024, vol. 20, issue 3/4, 410-427

Abstract: Despite the tremendous growth of online retailing due to COVID-19 pandemic, online apparel retailing is still in the fancy stage. This study aimed to test the dimensions (merchandise, interaction, reliability, personalisation, and country of origin (COO)) of customer satisfaction in an online setting, especially in apparel retailing. A random sampling survey approach has been adopted to collect 435 valid responses from customers aged between 15 and 40 years, who have transacted at least once in online stores, using a self-administered questionnaire through Google Forms. Confirmatory factor analysis and structural equation modelling was employed to test the proposed model. The results highlighted that merchandise, interaction, reliability, personalisation, and COO are positively influencing customer satisfaction. Research findings imply to apparel e-tailing firms to critically analyse the website quality indicators that augment customer satisfaction and facilitate retaining old and gaining potential customers.

Keywords: online apparel retailing determinants; customer satisfaction; country of origin; COO; merchandise; website dimensions. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=139317 (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:ijimad:v:20:y:2024:i:3/4:p:410-427

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:ids:ijimad:v:20:y:2024:i:3/4:p:410-427