To read this content please select one of the options below:

Hyper-personalization – fashion sustainability through digital clienteling

Geetika Jain (Faculty of Management, Uttar Pradesh Technical University, Lucknow, India)
Sapna Rakesh (IMS, Ghaziabad, Noida, India)
Mohd Kamalun Nabi (Department of Commerce and Business Studies, Jamia Millia Islamia, New Delhi, India)
K.R. Chaturvedi (School of Management, Krishna Institute of Engineering and Technology, Ghaziabad, India)

Research Journal of Textile and Apparel

ISSN: 1560-6074

Article publication date: 12 June 2018

Issue publication date: 22 November 2018

2259

Abstract

Purpose

This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation modeling. The traditional method of customer passive observance has been transformed to dominance, where, the fundamental challenge for companies is to understand consumer behavior, work on cost-efficiency and implement sustainable innovation.

Design/methodology/approach

To investigate this emerging issue, this study aims to find the model fit via applying “Technology Acceptance Model” (TAM) and “Theory of Reasoned Action” (TRA) in context to the hyper-personalization through digital clienteling with special reference to women ethnic fashion wear.

Findings

The study findings depict the perceived ease of use (PEOU) and perceived usefulness (PU) of technology, attitude toward clienteling and subjective norm toward customization impact on customer intensions. The findings posited that perceived usefulness is having the strong relationship with purchase intention as compare to other variables. So, the analysis postulated that customer considered hyper-personalization is having perceived usefulness for customer and it also helps customer in getting the information about the product on the Web page.

Research limitations/implications

Because of lack of availability of resources, a specified sampling method has been used for this study. A new research, which will cover the fashion apparel from all the categories with a detailed study from the branded and non-branded point of view, will provide better description on this topic.

Practical implications

By having personalized Web page through big data analytics, customer will have positive experience and positive association with the company. The other parameters also play an important role toward the customer behavioral intention. The current study approaches new way of understanding the participative management of the personalization and tool to guide the work of strategy professionals and management of fashion e-commerce sector internationally and even in the other sectors also.

Social implications

Because of advancement of technology, the usage of online media is increasing day by day and this change is having high impact on the society, though we can innovate in any field or industry. Hyper-personalization has an impact on the online consumer buying behavior, which will affect the methods of searching information for consumers.

Originality/value

This new area of research is having large scope of future research from the fashion industry point of view. This paper is working as one of the element in the area of hyper-personalization through digital clienteling to gain sustainable results in the fashion industry.

Keywords

Citation

Jain, G., Rakesh, S., Kamalun Nabi, M. and Chaturvedi, K.R. (2018), "Hyper-personalization – fashion sustainability through digital clienteling", Research Journal of Textile and Apparel, Vol. 22 No. 4, pp. 320-334. https://doi.org/10.1108/RJTA-02-2018-0017

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles