Comparing online retail loyalty segments of Indian Gen Z buyers

Author:

Soni PavleenORCID,Vohra JyotiORCID

Abstract

PurposeGeneration Z (Gen Z) is particularly influenced by digital technologies as this cohort is found to have grown up with technology forming the pivot of most of their routine activities. Owing to the huge potential of this market, online retailers are keen to build and sustain their loyalty. Shopper’s loyalty varies across age, gender, income, service quality perceptions, etc. of customers. This study aims to show that it is necessary to identify distinct consumer segments of these shoppers which can enable online retailers to fine tune their marketing programs and increase program effectiveness.Design/methodology/approachUsing a sample of 700 students pursuing Masters in Business Administration (553 usable responses) from two state universities in North India, data have been collected with reference to accessories, clothes, books and electronic goods. SPSS and AMOS have been used to analyse data using cluster analysis and multinomial logit (MNL) regression analysis.FindingsThe results of cluster analysis reveal that these shoppers can be clustered into three segments, namely disloyal shoppers (DS), staunch loyals (SL) and vacillating shoppers (VS) on the basis of their online retail loyalty. The odds ratio reveals that less frequent online shoppers are less likely to be VS or DS than being SL shoppers. People who experience flow while surfing online shopping websites are 3.260 times more likely to be VS than being SL. Further, service quality decreases the odds of a shopper acting as a VS in comparison to SL shopper by 0.113.Research limitations/implicationsThese findings would help marketers identify strategies that can transform the VS or the disloyal ones into loyal and profitable segments. The present study is limited to Gen Z shoppers and so results may vary for customers belonging to other age groups.Originality/valueThe study contributes to existing literature by understanding the antecedents which contribute to online retail loyalty of distinct segments of young shoppers.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting

Reference92 articles.

1. Hotel website quality, perceived flow, customer satisfaction and purchase intention;Journal of Hospitality and Tourism Technology,2016

2. Segmenting the online consumer market;Marketing Intelligence and Planning,2011

3. Examining the effect of shopping mall attributes in predicting tourist shopping satisfaction and behavioral intentions: variation across generation X and Y;Journal of Quality Assurance in Hospitality and Tourism,2020

4. The online shopping habits and e-loyalty of Gen Z as natives in the digital era;Journal of Indonesian Economy and Business,2019

5. Segmenting cyberspace: a customer typology for the Internet;European Journal of Marketing,2007

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Seal the deal: unleashing the magnitude of online reviews, website quality and trust for seamless hotel reservations;International Journal of Productivity and Performance Management;2024-09-06

2. E-grocery service loyalty: integrating food quality, e-grocery quality and relationship quality (young customers’ experience with local food);International Journal of Quality and Service Sciences;2024-02-07

3. Investigating online shopping behavior of generation Z: an application of theory of consumption values;Journal of Contemporary Marketing Science;2024-01-12

4. Fast, fresh, healthy and halal: a mobile food app recipe for Muslim millennial loyalty;Journal of Islamic Accounting and Business Research;2024-01-11

5. Sessiz İstifa: Kapsamlı Bir Teorik Çerçeve Oluşturma;Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD);2023-05-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3