Cognition in Fashion E-Commerce and Sustainability Design

Authors

  • Arunima Rudra Amity Business School, Amity University Kolkata, Kolkata – 700091, West Bengal, India.
  • Nibir Khawash Amity Business School, Amity University Kolkata, Kolkata – 700091, West Bengal, India.
  • Anupam Karmakar New Alipore College; Guest Faculty, Department of Commerce, University of Calcutta, Block-L, New Alipore, Kolkata – 700053, West Bengal, India.
  • Samrat Ray ASBM, Pune, Maharashtra, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-2713

Keywords:

Customer Experience, Online Shopping Intention, Perceived Service Quality, Fashion E-Commerce

Abstract

The rapid expansion of the e-commerce landscape requires companies to understand the mechanism through which the purchase intention of customers could translate into their favourable experiential outcomes. As such, the present study aims to extensively investigate the mediating role of perceived service quality (PSQ) in the relationship between online shopping intention (OSI) and customer experience (CX) in the context of online fashion retailing. A quantitative study was conducted, collecting the data from 467 online fashion shoppers to test the proposed research model using Structural Equation Modelling (SEM).  The results revealed that OSI positively influences PSQ and CX, and that PSQ, in turn, significantly enhances CX. Furthermore, PSQ fully mediates the relationship between OSI and CX. The findings of the study theoretically revealed reconceptualizing service quality as an experiential mechanism rather than merely an antecedent of satisfaction. Therefore, the managers and e-retailers should prioritize reliable service delivery, transparent communication, personalization, and seamless return processes to enhance customer experience and foster long-term engagement.

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Published

2026-07-04

How to Cite

Arunima Rudra, Nibir Khawash, Anupam Karmakar, & Samrat Ray. (2026). Cognition in Fashion E-Commerce and Sustainability Design. International Journal of Computer Information Systems and Industrial Management Applications, 18(5s), 351–361. https://doi.org/10.70917/ijcisim-2026-2713

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Section

Original Articles