Skip to content
Research Article Open access CC BY 4.0

Dynamics of Online Shopping Trends for Fashion Products: A Case Study of Himachal Pradesh, India

Ranbir Singh

Asian Journal of Advanced Research and Reports · pp. 29–49 · Published 7 Feb 2024

10.9734/ajarr/2024/v18i3612

Abstract

Conducting research on online shopping for fashion products in Himachal Pradesh is crucial to understand consumer preferences, behavior, and challenges unique to the region. Insights gained can inform businesses, policymakers, and retailers, facilitating tailored strategies that enhance the online shopping experience and boost the local fashion industry's growth in the region. The study was conducted on 1500 respondents of Shimla and Solan cities of Himachal Pradesh. The data analysis was divided into two sections: descriptive analysis and inferential analysis. Confirmatory Factor Analysis (CFA), Reliability Analysis, Validity Analysis, Mediation Analysis, Moderation Analysis, Structural Equation Modelling (SEM), t-tests, ANOVA, etc., were applied in order to achieve the stipulated objectives and hypotheses of the study. It is found that customer awareness of online shopping has a positive influence on their buying behaviour for fashion products, establishing a significant relationship. A positive correlation is identified between customer awareness of online shopping and their satisfaction level with the online shopping experience. Customer satisfaction is found to positively affect customer buying behaviour. Factors influencing online fashion purchases directly impact customer buying behaviour.

Online shopping fashion products perceived challenges awareness level customer satisfaction

References (19)

  1. 1 Using multivariate statistics
  2. 2 A new criterion for assessing discriminant validity in variance-based structural equation modeling [DOI]
  3. 3 Discovering Statistics Using SPSS
  4. 4 On the evaluation of structural equation models [DOI]
  5. 5 Little Jiffy, Mark Iv [DOI]
  6. 6 CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting [DOI]
  7. 7 Integrating Marketing Communications: New Findings, New Lessons, and New Ideas [DOI]
  8. 8 THE EFFECT OF STANDARDIZATION ON A χ 2 APPROXIMATION IN FACTOR ANALYSIS [DOI]
  9. 9 The Impact of Fashion Brand Sustainability on Consumer Purchasing Decisions [DOI]
  10. 10 The changing nature of consumption and the intensification of McDonaldization in the digital age [DOI]
  11. 11 Online shopping: Factors that affect consumer purchasing behaviour [DOI]
  12. 12 Item Response Theory and Confirmatory Factor Analysis: Complementary Approaches for Scale Development [DOI]
  13. 13 Basic Concepts and Procedures of Confirmatory Factor Analysis.
  14. 14 The Culture of Fashion: A New History of Fashionable Dress [DOI]
  15. 15 Customer Behavior Analysis Towards Online Shopping using Data Mining [DOI]
  16. 16 Effect of Demographic Variable on Consumer Buying Behaviour of Branded Apparels In Himachal Pradesh [DOI]
  17. 17 Discriminant Validity [DOI]
  18. 18 International Journal for Modern Trends in Science and Technology [DOI]
  19. 19 Public Policy in Bangladesh:Balancing Change and Stability [DOI]

Cited by 5

The Economic Impact of Online Fashion Portals on Brick-and-Mortar Retail in India

Asikni Garodia · Journal of Research in Business and Management · 2024

Navigating the Digital Frontier: Future Trends in E-Commerce, E-Marketing, And Fashion E-Retail

Shrruti Sahrawat · Journal of Global Economy, Business and Finance · 2024

Analysing the Impact of Hosting Influencer Giveaways on Purchase Intention of Luxury Items by Generation Z

Nibir Khawash, Prasenjit Chakravarty, Sudeshna Pahari · Information Systems Engineering and Management · 2024

Showing 3 of 5 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

44

Page views

0

PDF downloads

9

Outbound clicks

5

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.